
Closed
Posted
Paid on delivery
Senior Forward-Deployed Software Engineer Needed to Finish Enterprise Intelligence Platform MVP (Python / FastAPI / Graph / Data Pipelines) ⸻ Project Overview I am building RealScore, a financial intelligence infrastructure platform designed for investigators, regulators, financial institutions, and government entities. The system ingests public records and financial intelligence data, resolves entities, constructs ownership relationships, and produces explainable risk outputs. The repository is already substantially built. The core architecture, services, pipelines, and UI are implemented and functional. The first core feature (entity search → ownership → sanctions exposure → explainable risk scoring) is approximately 70–80% complete. However, it needs a high-level engineer to finish the final mile and bring the feature to production-quality MVP pilot readiness. This is not a greenfield project and not a beginner task. You will be working with an existing codebase containing: • Data ingestion pipelines • Entity resolution logic • Risk scoring • Graph relationships • Search APIs • Frontend investigator interface I need someone capable of reading the repository, understanding the architecture quickly, and finishing the system without heavy supervision. ⸻ Current Architecture Backend Python 3.11 FastAPI SQLAlchemy Pydantic Data Systems PostgreSQL Neo4j (graph relationships) Frontend [login to view URL] 15 React 19 TypeScript TailwindCSS Infrastructure Docker Alembic migrations Prometheus / Grafana monitoring Services in Repository Current services include: • API gateway • data ingestion services • normalization services • entity resolution service • graph service • risk scoring service • alert engine • search service • evidence / integrity services The system currently exposes ~23 API endpoints and includes a working UI. ⸻ What Is Already Working The system currently performs the following flow: Data ingestion → normalization → integrity seal → entity resolution → graph upsert → risk scoring → alert generation. The frontend already includes: • dashboard • entity search • entity details • relationship graph • alerts • evidence export The feature works but needs performance improvements, reliability fixes, and result quality improvements. ⸻ What Needs to Be Done Your responsibility is to finish the first feature to production-quality MVP readiness. This includes: 1. Search Performance and Relevance Improve entity search responsiveness and ranking. Search should: • return results instantly • prioritize relevant entities • handle partial queries • support real-world datasets 2. Entity Resolution Improvements Improve entity matching logic so results are: • accurate • deduplicated • consistently linked across data sources 3. Data Pipeline Stability Audit the ingestion and pipeline services to ensure: • idempotent ingestion • consistent normalization • reliable processing 4. Result Completeness Ensure returned entity profiles include all available information such as: • ownership relationships • sanctions exposure • risk scoring • related entities 5. Backend Optimization Optimize API endpoints and database queries to reduce latency. 6. Graph Integration Improve graph relationships and traversal for ownership and related entities. 7. Frontend Integration Ensure the frontend displays all relevant entity data clearly and correctly. 8. Evidence Traceability Outputs must clearly show why the system generated a given risk score. Explainability is important. ⸻ This Role Is NOT For Please do not apply if you are: • a junior developer • someone who only builds CRUD apps • someone who needs step-by-step direction • someone who has never worked with large codebases • someone unfamiliar with data pipelines • someone unfamiliar with backend architecture This project requires someone who can operate independently and make strong engineering decisions. ⸻ Ideal Candidate You should have experience with: • large Python backend systems • FastAPI or similar frameworks • data pipeline architecture • entity resolution or identity matching • graph databases (Neo4j preferred) • PostgreSQL performance optimization • search systems • containerized infrastructure Experience building systems used by investigators, financial systems, compliance tools, or data platforms is highly valuable. ⸻ The Kind of Engineer I’m Looking For Someone who: • reads the codebase and understands the system quickly • identifies weaknesses without needing instructions • proposes improvements proactively • writes clean production-quality code • cares about performance and reliability • can finish complex systems without babysitting Think forward-deployed engineer or founding engineer mindset. ⸻ Deliverables The goal is a fully stable first feature ready for pilot deployment. Success criteria include: • fast entity search • accurate results • complete entity profiles • stable pipelines • clean frontend display • explainable risk scoring ⸻ Timeline I am looking for someone who can move quickly once they understand the system. Initial engagement will focus on finishing this feature. If the work is excellent, there is opportunity for long-term involvement on the platform. ⸻ To Apply Please include: 1. Links to complex backend systems you have built 2. Experience with Python / FastAPI / data pipelines 3. Experience working on large production systems 4. A short explanation of how you would approach improving search performance in a system like this Applications that do not demonstrate serious engineering experience will not be considered. ⸻ Final Note This is not a typical freelancer project. The platform is intended to become enterprise-grade intelligence infrastructure. I am looking for someone capable of operating at that level. ⸻ If you are a high-level engineer who enjoys solving complex system problems, I would like to work with you.
Project ID: 40375408
153 proposals
Remote project
Active 23 days ago
Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
153 freelancers are bidding on average $187 USD for this job

Hi I’m a senior backend/forward-deployed engineer specializing in Python/FastAPI, large-scale data pipelines, and graph-based intelligence systems. I’ve worked on production systems using PostgreSQL, Neo4j, and search layers where entity resolution and relationship traversal are core challenges. From what you described, the biggest bottleneck in systems like this is usually inconsistent entity resolution combined with slow graph-backed search queries under real-world data volume. I would start by profiling the search endpoints, tightening indexing strategy in Postgres, and optimizing Neo4j traversals to reduce multi-hop latency. I would also strengthen entity resolution with deterministic + probabilistic matching and enforce idempotent ingestion across pipelines. For explainability, I would ensure every risk score is traceable through stored decision paths and evidence-linked graph nodes. I can quickly read your existing FastAPI services, identify architectural bottlenecks, and stabilize the system toward production MVP readiness. And I can help you so on Thanks, Hercules
$200 USD in 7 days
6.7
6.7

Hi there, I like how you have outlined your project description with clear requirements and expectations for the Enterprise Intelligence Platform enhancement. You are building an advanced financial intelligence infrastructure focused on entity search, ownership resolution, sanctions exposure, and risk scoring. Your platform leverages a sophisticated architecture including Python, FastAPI, Neo4j, and React frontend components. The system is largely implemented but requires a high-level engineer to finalize and optimize key features for MVP pilot readiness. With extensive experience in developing large-scale Python backends using FastAPI and building data pipeline services, I have worked on similar projects involving entity resolution, search optimization, and graph database performance tuning. I am comfortable diving into complex codebases and independently enhancing performance, accuracy, and reliability without supervision. My background includes optimizing PostgreSQL queries, improving search relevance, and ensuring stable data ingestion pipelines. I understand the importance of delivering production-quality code that is maintainable and performant. I am confident I can quickly grasp your existing system’s architecture and contribute meaningful improvements across backend, data pipelines, and frontend integration to bring your core feature to a reliable pilot-ready state. Let's connect to discuss how I would approach optimizing your entity search and ensuring explainable, accurate risk scoring to meet your timeline and quality goals.
$175 USD in 21 days
6.1
6.1

I understand you need a senior software engineer to complete the Enterprise Intelligence Platform MVP, focusing on search performance, entity resolution, data pipeline stability, and frontend integration. My extensive experience in Python, FastAPI, data pipelines, and backend development positions me well for this task. I have a proven track record of working on large production systems and improving search performance. I am confident in my ability to enhance the platform to meet your requirements. Let's discuss the project scope further to ensure alignment.
$123 USD in 6 days
6.0
6.0

Hi there, I will finish your RealScore MVP — improving search performance, entity resolution accuracy, and pipeline stability to pilot-ready quality. For search, I will add trigram indexing on PostgreSQL with a composite ranking function that weights exact matches, then partial matches, then fuzzy — this alone should make results feel instant while keeping relevance high. Questions: 1) What is the current dataset size — roughly how many resolved entities in PostgreSQL and Neo4j? 2) Are entity resolution rules currently deterministic or probabilistic? Looking forward to potentially working together. Thanks, Kamran
$90 USD in 5 days
6.0
6.0

Hi, I have strong experience in Python, FastAPI, PostgreSQL, and building large backend systems with complex data pipelines. I’ve worked on similar data-intensive platforms, handling tasks like entity resolution, graph relationships, and backend performance optimization. For your project, I will focus on improving entity search performance, refining the entity resolution logic for accuracy and deduplication, and ensuring the data pipelines are stable and efficient. Additionally, I will optimize the graph relationships and frontend integration to ensure all data is displayed clearly and with explainable risk scoring. With my expertise in handling large codebases and working independently, I’m confident I can finish the first feature to production-quality MVP readiness, ensuring the system meets all requirements. Best regards, Juan
$140 USD in 1 day
5.8
5.8

Hello there, I’m a reliable and detail-oriented professional with experience delivering high-quality results across a range of projects, ensuring accuracy, efficiency, and clear communication throughout. I focus on understanding your exact requirements and providing solutions that are practical, well-structured, and ready for immediate use or implementation. I can start right away and deliver within your timeline while maintaining strong attention to quality and consistency.
$140 USD in 2 days
5.4
5.4

I'm senior full stack developer and I'll full support you and will complete your all requirements thanks Please join chat so we will discuss more about project Regard Sagar
$180 USD in 2 days
5.6
5.6

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. I have worked on large scale Python/FastAPI systemss with data pipelines and graph integrations, and I am comfortable jumping into complex codebases to push them to production-quality. Your architecture is solid I can focus on performance, reliability, and result quality to get this MVP pilot-ready quickly. For search, I’d implement hybrid indexing (PostgreSQL + full-text/Elastic), query optimization, and ranking logic tuning, combined with caching for low latency.. Could you share repo access and current bottlenecks (slow queries, pipeline lag, or search relevance)? Also, is there any existing search index or are you relying purely on Postgres right now? I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan Uprety
$150 USD in 7 days
4.8
4.8

Hello, I hope you are well. I’m a senior backend engineer with deep Python/FastAPI experience, data pipelines, and large-scale systems. I specialize in taking near-production features to a robust MVP finish, fast, reliable, and scalable, without heavy supervision. I’ve worked on entity resolution, graph-based ownership, and risk scoring in production-grade stacks using Postgres, Neo4j, and containerized deployments. I will quickly read your repository, pinpoint perf and reliability gaps, and deliver a production-ready finish for search relevance, entity resolution, data pipelines, backend optimizations, and frontend integration with clear explainability for risk outputs. I can handle this end-to-end and move fast toward pilot readiness. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan
$250 USD in 2 days
4.4
4.4

Hi there, I’ve read your RealScore MVP plan and I’m confident I can finish the first feature to production-ready quality. I’ve led multi-service Python backends (FastAPI, SQLAlchemy) with large data pipelines, graph integrations (Neo4j), and complex risk scoring and explainability modules, delivering enterprise-grade results under strict reliability and latency targets. My approach: dissect the current entity search, resolution, and risk pipelines, identify bottlenecks, and implement incremental, testable improvements across search relevance, idempotent ingestion, and graph traversals. I’ll optimize endpoint paths and queries, hardening the pipelines for stability and scale, while ensuring the frontend clearly presents complete entity profiles with explainable risk outputs. Deliverables will include a fast, relevant search experience, deduplicated and consistently linked entity resolution, stable data pipelines, full entity profiles (ownership, sanctions exposure, risk score, related entities), and an explainable scoring rationale integrated into the UI. I’ll proceed with a focused 2-week sprint plan, validate against real datasets, and align with your pilot readiness criteria. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. Given the current codebase and dashboards, what is your preferred target latency for the main entity search path (end-to-end, inclu
$75 USD in 3 days
4.6
4.6

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, including working with backend technologies like Python and FastAPI. My expertise in optimizing systems for performance, especially within data-intensive applications, aligns well with your goal to enhance the RealScore platform. I focus on clean architecture, scalable code, and clear communication to ensure the project runs smoothly from start to finish. I will first review your existing architecture, address the performance improvements, and enhance the entity resolution logic while keeping you updated at every stage. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. Are there specific metrics for the current search performance you are aiming to achieve? Are there specific metrics for the current search performance you are aiming to achieve? Let’s discuss over chat! Regards, Arpit Jaiswal
$155 USD in 2 days
4.6
4.6

Greetings, I'm a full stack developer with 10+ years of experience, I specialize in stepping into complex, partially built systems and driving them to production—your FastAPI, graph-based intelligence stack is exactly my domain. I can quickly onboard, stabilize pipelines, complete the entity → graph → risk flow, and harden the system for MVP readiness with clean, scalable improvements. Let’s finalize RealScore efficiently and get it pilot-ready with confidence. Why work with me? ★ Proven track record: 73 successful projects with 5-star reviews ★ Expertise in Node.js, Angular, React, Express, Python, Django, Flask, PHP, Laravel, Codeigniter and more ★ Responsive, deadline-focused, and committed to results ★ 3 months of free post-launch support Let’s schedule a quick chat to discuss your preferred tech stack, timelines, and launch goals. I’m confident I can bring your vision to life. Best regards, Samar H.
$100 USD in 7 days
4.6
4.6

Hi there, I'm excited about the opportunity to help finish the Enterprise Intelligence Platform MVP for RealScore. Your project aims to refine a system that processes complex financial data, and I believe my experience aligns well with your needs. With 4+ years of experience in Python and FastAPI, I can dive into the existing architecture, optimize the data pipelines, and enhance the entity resolution logic to ensure accurate and reliable results. My approach would involve auditing the current system to identify performance bottlenecks, especially in the entity search functionality, and making necessary optimizations to improve responsiveness and relevance. I’m also keen on ensuring that the frontend interface clearly displays all relevant entity data. Could you share more about the specific challenges you've encountered with the current search performance? Best regards, Arslan Shahid
$30 USD in 3 days
4.4
4.4

Hello, hope you are doing well. RealScore sounds exactly like the kind of deep backend and data platform work I enjoy. I have led large Python and FastAPI systems with Postgres, Neo4j, search layers and streaming style pipelines, so I am comfortable jumping into an existing codebase and driving it to a production ready MVP. For search I would profile current queries and indexes, introduce better ranking and partial matching, and tune both Postgres and Neo4j usage so entity lookup feels instant while keeping resolution, pipelines and explainable risk outputs stable and clear.
$140 USD in 7 days
4.6
4.6

YES===>>>>I have worked on large-scale Python systems with FastAPI, data pipelines, and graph-backed architectures, so stepping into an existing codebase like this and driving it to MVP readiness is exactly the kind of work I do. I’m comfortable auditing services end-to-end—from ingestion and normalization through entity resolution, graph persistence, and API delivery—and tightening performance, reliability, and data quality without needing heavy direction. For search performance, I’d start by profiling current queries and response paths, then introduce a dedicated search layer (e.g., optimized PostgreSQL indexing or Elasticsearch if needed), improve ranking logic, and add caching for frequent queries. I’d also align entity resolution outputs with search indexing to ensure deduplicated, high-relevance results. I’ve built and optimized production systems involving PostgreSQL tuning, async APIs, and data pipelines, and I’m confident I can quickly understand your architecture and push this feature to a stable, production-quality MVP. Happy to review the repo and outline a concrete execution plan right away.
$350 USD in 4 days
4.4
4.4

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, thank you for sharing the detailed project brief for RealScore. I can build your financial intelligence infrastructure platform using Python, FastAPI, and Neo4j with a scalable and performance-optimized design. I will deliver: • Enhanced search performance and relevance • Improved entity resolution logic • Stable data pipelines and backend optimization • Complete entity profiles and graph integration • Seamless frontend integration and explainable risk scoring You will also receive thorough documentation and support. I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag.
$200 USD in 7 days
4.0
4.0

Hello there, we are a team of developers and we will build your scalable MVP application. Please, send me a message to discuss the work. Thanks Ashish Kumar.
$140 USD in 7 days
4.4
4.4

With over a decade in software development and a wide array of skills under my belt, I'm confident I can take your RealScore project to the finish line. My expertise in Python, FastAPI, data pipelines, and backend architecture makes me the perfect candidate to tackle the core features of your enterprise intelligence platform. I have not only working knowledge but also extensive experience with technologies like PostgreSQL and Docker that your project relies on. What sets me apart from others is my ability to learn complex systems quickly. Given your existing repository, I am confident that I can navigate and understand the architecture proficiently, allowing me to contribute immediately without needing excessive hand-holding. My data science skills complement my software engineering repertoire, enabling me to optimize your backend and improve search relevance for real-world datasets.
$250 USD in 7 days
4.2
4.2

Hi there, Strong alignment with this project comes from experience working on complex data-driven platforms where performance, scalability, and system reliability are essential. Clear understanding of the requirement to enhance an existing intelligence platform by improving search performance, entity resolution, data pipelines, and overall system stability. Hands-on expertise with Python, FastAPI, data pipelines, and graph-based systems ensures efficient optimization, accurate data processing, and production-ready architecture. Risk is minimized by auditing pipelines, optimizing queries, and ensuring explainable, consistent outputs across services and frontend. Available to start immediately happy to share a quick demo or discuss next steps. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag
$140 USD in 7 days
4.4
4.4

It’s incredibly frustrating to have a high-potential intelligence platform so close to MVP, but bottlenecked by performance gaps, incomplete entity resolution, and pipelines that need more reliability. With so many moving parts—from instant search and accurate matching to explainable risk scoring—the cost of not finishing strong is lost credibility and wasted engineering hours. You can expect a fast, stable first feature that investigators and regulators can trust on day one. First, I’ll dive into your codebase to identify and prioritize weak spots in search, pipeline stability, and entity matching. Next, I’ll implement focused improvements for responsiveness, result completeness, and backend optimization. Finally, I’ll ensure the frontend and risk scoring output deliver the transparency and clarity you promised users. Is there a particular pain point you want solved first, or should I prioritize end-to-end stability across the feature?
$134 USD in 7 days
4.1
4.1

Atlanta, United States
Payment method verified
Member since Jan 9, 2026
$750-1500 USD
$10-30 USD
$2-8 USD / hour
$30-250 USD
$100-150 USD
₹12500-37500 INR
₹150000-250000 INR
$250-750 USD
₹1500-12500 INR
$8-15 CAD / hour
$5000-10000 USD
$250-750 USD
₹12500-37500 INR
₹750-1250 INR / hour
$250-750 USD
$20000-50000 USD
₹1500-12500 INR
₹750-1250 INR / hour
₹12500-37500 INR
$10-80 USD
$30-250 NZD
$250-750 USD
₹37500-75000 INR
₹12500-37500 INR
₹3000-30000 INR