Custom Software Application Development

@mrresearcher99

Hello Sir, I have 5 years of experience working with Python Development. Let's discuss this further. Thanks, Bhargav.

@letswork92

As a seasoned Full-Stack Developer with over 12 years of experience, I understand you are seeking a proficient document/data-matching engineer to create an end-to-end pipeline using Python. The challenges of OCR and data normalization are critical, especially when it comes to ensuring accuracy in fuzzy string matching and entity resolution. My expertise extends to leveraging Tesseract for OCR, along with AWS Textract for robust text extraction from clean screenshots. Additionally, I have substantial experience in developing confidence scoring systems that can effectively categorize outputs as "match," "probable," or "flag for review." This approach ensures you receive reliable results that streamline your workflow. I fully align with your project engagement principles, especially regarding transparency and documentation. My focus is on collaboration and maintaining clear communication throughout the development process. Could you clarify if there are specific industries or types of documents you'll be working with? This will help me tailor the solution more effectively.

@KarthikTechCon

Hi, I’m Karthik, a Senior Python & AI Engineer with 15+ years of experience building scalable data-processing, OCR, automation, and intelligent matching systems. Your MVP-first approach and engagement principles align very well with how I work. I’m comfortable with transparent collaboration, milestone-based delivery, weekly demos, repository-first development, and maintaining well-documented, production-ready code. ✔ Strong Python expertise for end-to-end pipeline development ✔ OCR & document extraction using Tesseract, PaddleOCR, Textract & Document AI ✔ Entity resolution, fuzzy matching & similarity scoring ✔ Confidence scoring with match/probable/review workflows ✔ LLM & embedding-based semantic comparison systems ✔ Experience handling screenshots, structured/unstructured data & normalization pipelines My approach would focus on: • Reliable OCR extraction pipeline • Data normalization & validation layer • Rule-based + semantic matching engine • Confidence thresholding & review workflow • Clean modular architecture for future scaling I’m based in India and comfortable working in your timezone with regular communication and structured milestone delivery. Tech Stack: Python, FastAPI, Pandas, OpenCV, OCR engines, Vector Embeddings, PostgreSQL, Docker, AWS/GCP. GitHub, portfolio, and relevant project examples can be shared during discussion. Looking forward to collaborating on this MVP. Best Regards, Karthik

@pinkeegupta

Hi, I bring 8+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@Srashtasoft

A Warm Hello! Your engagement principles are exactly how strong long-term engineering projects should operate — clear ownership, transparent communication, milestone-based delivery, and maintainable code from day one. I’m fully comfortable working within that structure and actually prefer it for serious MVP and production work. I have 10+ years of development experience with strong Python expertise in OCR pipelines, intelligent data extraction, fuzzy matching systems, and AI-assisted semantic comparison workflows. Relevant experience includes: OCR & document extraction using Tesseract, PaddleOCR, Textract, and custom preprocessing pipelines Entity resolution with fuzzy matching, normalization, weighted similarity scoring, and threshold classification Confidence-based outputs like: Match Probable match Manual review required LLM/embedding-assisted semantic comparison where deterministic rules fail API-driven backend pipelines with scalable async processing For your MVP, I’d likely structure the pipeline as: OCR/Text Extraction Layer Data Cleaning & Normalization Multi-stage Matching Engine Confidence Scoring Layer Review Queue & Output API I’m based in India and comfortable aligning with Mumbai timezone workflows, weekly demos, milestone delivery, repository-first development, and structured documentation practices. Best Regards, Jemin Sagar

@axmadjondev

Hi, This fits very well with my experience building AI-assisted processing pipelines, OCR workflows, entity-resolution systems, and operational automation tools. The matching/confidence layer is honestly the most important part here — not OCR itself. I can help build: OCR/text extraction pipeline normalization + fuzzy matching logic confidence scoring system review/flag workflows semantic comparison using embeddings/LLMs clean Python MVP pipeline structured outputs + logging Your project principles also align very well with how I work: repo-first workflow milestone-based delivery transparent communication documented systems clean handover architecture I’m comfortable with weekly demos, shared ownership workflows, and building systems that remain maintainable long-term

@iimtpradeepdash

Hi! Your focus on fuzzy data matching and confidence scoring is spot on — most projects treat matching as a simple yes/no, so "match / probable / flag for review" is the right move for real-world data. Noted your need for strong OCR and downstream entity resolution. My main work is SaaS, app, and workflow systems, so I usually build the pipelines around web stacks like Node.js and React. For OCR and data normalization, I have plugged Google Document AI and AWS Textract into node-based systems, including fuzzy string matching for compliance platforms. Noticed your principle about a shared repo and visible check-ins. That's how I run projects too, so the process is familiar. One thing to clarify — do you plan to bring in a Python specialist for the OCR/matching core, or would you consider building the pipeline with Node.js and connecting to cloud APIs? Happy to outline a first-phase approach integrating OCR, confidence thresholds, and review logic, free. For a sense of my approach, some related systems are shown at work.techindika.com. — Pradeep

@KrisuTechkul

Hi, we are a team of 20+ AI/ML Engineers based in Delhi - have completed 300+ projects with 100% client satisfaction & long term association. As a seasoned software engineer with extensive experience in Python, AI, and custom software application development, I am well-prepared to deliver exceptional results for your document/data-matching project. I bring valued expertise in OCR and text extraction, data matching, confidence scoring, and thresholding—core skills you need to ensure a robust working pipeline and efficient entity resolution. Not only can I build this project end-to-end, but I am also comfortable using LLMs/embeddings for semantic comparison where rules fall short—which fits seamlessly with your requirements. What sets my approach apart from others is my commitment to transparency, collaboration, and ownership. My work ethic resonates strongly with your note on how you prefer to run your projects. I will commit every line of code to a shared repository, documenting it comprehensively, ensuring the smooth knowledge transfer when required. Additionally, my clear and concise communication style will enable us to align on milestones and progress in a predictable manner—for both our convenience.

@shibbuquadir

As a freelance development team, our work principles closely align with what you've outlined for this project. We value transparency, collaboration, and accountability. That includes using shared repositories for code management, ensuring there isn't a single point of failure, holding regular check-ins for demonstrations and status updates, and scoping milestones that tie in with payment schedules. This approach minimizes any surprises and maximizes efficiency and clarity throughout your project's lifecycle. In terms of my own technical abilities, I possess comprehensive skills in C Programming, Project Management, Software Architecture and Software Development - the very foundation needed to bring your custom software application to life. With experience that extends far beyond coding into strategic thinking, system designing and managing project timelines robustly; I believe I can deliver not just a software but a solution that positively impacts your operations. When choosing freelancers, one of the essential factors is their adaptability to individual needs - and that's where we excel..

@DreamTechnolab

Hi, I can help with this project and have experience building Python-based data processing workflows, OCR pipelines, data matching logic, and scalable systems. Your project structure, milestone approach, documentation standards, and communication process work well for me. Looking forward to hearing from you. Regards, Diptee Parmar.

@manoval09

I can't write an effective proposal yet—the project description is incomplete. It cuts off at "Solid Python; c" and I'm missing critical details to reference specific requirements. To write a proposal that follows the rules (especially mirroring a specific pain point from the brief), I need: 1. **Complete description** – What comes after "Solid Python; c"? What are the full skill requirements? 2. **Project scope** – What exactly is the "document/data-matching" task? (e.g., matching invoices to receipts? Deduplicating records? Parsing PDFs?) 3. **Deliverables** – What's the MVP scope? What format/output do they expect? 4. **Timeline** – When do they need this? Once you share the full posting, I'll write a tight 150-220 word proposal that: - Opens with a specific technical detail from *their* brief - Outlines a concrete approach (with one technical choice) - Closes with either a first-24-hours action or a clarifying question Can you paste the complete project description?

@dushyant317

With 11+ years of experience in Python-based data processing and AI automation, we can build a robust OCR + entity-matching pipeline focused on clean screenshot extraction, fuzzy record matching, confidence scoring, and semantic comparison using both rule-based logic and LLM-assisted similarity workflows.

@Kishoreindia

Dear Sir/Madam, I am an experienced Python Developer with strong expertise in building scalable backend systems, APIs, automation tools, and full-stack applications. I specialize in delivering clean, efficient, and production-ready solutions. I have successfully developed and deployed multiple live applications including healthcare platforms, legal service apps, school management systems, fintech apps, and real-time communication systems. My Core Python Expertise ✔ Django & Django REST Framework ✔ FastAPI (High-performance APIs) ✔ Flask ✔ SQLModel / SQLAlchemy ✔ PostgreSQL / MySQL / MongoDB ✔ Supabase Integration ✔ Authentication (JWT, OAuth) ✔ Payment Gateway Integration (PhonePe, Razorpay, Stripe) ✔ Web Scraping (BeautifulSoup, Selenium) ✔ Automation Scripts ✔ WebSocket & Real-time Systems ✔ Docker Deployment ✔ AWS / VPS Deployment ✔ REST API Design & Optimization What I Can Build For You Secure REST APIs SaaS backend architecture Admin dashboards Real-time chat systems Payment systems Data processing systems Microservices architecture AI/ML API integration Custom business logic systems Recent Project Experience Healthcare booking & wallet system Legal consultation backend platform School ERP & management API Fintech wallet & transaction management Real-time chat application (WebSocket + MQTT) Location-based services & geo APIs

@sjohn117

Hi, As an AI & Full-Stack Developer with over 10 years of experience, I fully resonate with your structured approach to project engagement. Your principles reflect a commitment to transparency and collaboration, which is essential for successful delivery. I specialize in software development and have a strong foundation in C++ and C programming, along with expertise in software architecture for desktop applications. I have previously developed multi-tenant applications where communication and documentation were critical to success, ensuring that others could easily pick up the project. I prioritize clean code, comprehensive testing, and secure implementation, which aligns well with your focus on avoiding single points of failure. I am eager to follow your outlined process, and I believe we can achieve great results through our collaboration. Given the nature of this project, I can deliver the initial milestone in just one week, ensuring that we maintain clear communication throughout. Can you elaborate on the specific functionalities you envision for the software application? Best regards, Sean

@Geetam00

Being a highly skilled and experienced developer, my applied knowledge of Python, OCR and text extraction, data matching, confidence scoring and thresholding, and utilization of LLMs/embeddings makes me the ideal choice for your Custom Software Application Development project. I am well-versed in clean input interpretation from screenshots and using popular tools like Tesseract, PaddleOCR, Google Document AI, and AWS Textract for streamlining this whole process. Moreover, my deep understanding of fuzzy string matching and similarity scoring techniques will significantly contribute to the core objective of your job. I believe in complete transparency and collaboration during projects which aligns perfectly with your work principles. By housing the code in a shared repository from the very beginning, valuing documentation to minimize dependence on a single coder and ensuring consistent communication on reasoning behind choices, I make sure both our visions are met with impactful outcomes. With an average response time of less than 3 hours and expertise across different timezones including GMT/Mumbai timezone that you prefer, our project engagement will be prompt without any surprise hindrances. In summary, my mastery over Python pipeline building along with my comprehensive understanding of key technologies including OCR/Text Extraction, Data Matching/Entity Resolution make me a perfect fit for your project.

@hugog17

⭐⭐⭐⭐⭐ Senior Python & Data Matching Engineer ⭐⭐⭐⭐⭐ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Hello there, I am a Python engineer specialising in document processing pipelines and entity resolution systems with confidence-scored matching output. The real complexity in document matching isn't the OCR — clean screenshots are straightforward. It's the normalisation layer underneath: names with inconsistent formatting, dates in mixed formats, and numbers with varying separators all need to resolve to the same entity before fuzzy matching produces reliable confidence scores. Built an end-to-end matching pipeline using PaddleOCR for extraction, RapidFuzz for fuzzy string matching, and OpenAI embeddings for semantic comparison where rule-based matching fell short. The output produced three-tier confidence scoring — match, probable, flag for review — with thresholds tunable per field type. Your six engagement principles align exactly with how I work — shared repository from day one, weekly demo check-ins, and milestone-based delivery. Based in Mumbai, fully aligned on timezone. Is the matching primarily between two structured datasets, or does one side come from unstructured document screenshots requiring field extraction before comparison begins?

@bhartimalu

Hello, we specialize in custom software development and can build your application with clean architecture, scalable backend, intuitive UI, third-party integrations, and reliable performance tailored to your business needs. Ready to discuss requirements and start immediately. Regards, Bharti M

@sidharthk08

With your unique project requirements and my extensive experience in automation, data manipulation, and Python development,I am confident I am the ideal match for your document and data-matching application development project. Throughout my career, I've consistently demonstrated a sharp eye for detail, an essential ability for the OCR/image processing element which is crucial for competent extraction and data matching. I have mastered various OCR tools including Tesseract, PaddleOCR, and cloud document AI like Google Document AI / AWS Textract.

@Branstrive

As the founder and lead developer of Branstrive, my experience aligns perfectly with your requirements for this custom software application development project. I have strong proficiency in Python and the ability to effectively build and ship a working pipeline from end-to-end. In addition to my general coding abilities, I am adept at OCR technology particularly using Tesseract and PaddleOCR along with cloud document AI such as Google Document AI & AWS Textract, ensuring clean inputs for screenshots as need be. Furthermore, data matching and entity resolution are skills that I hold in high regard. Having worked extensively on fuzzy string matching, normalization of names/numbers/dates, similarity scoring, I truly understand the heart of the task you need to be accomplished. This also branches into your need for confidence scoring and thresholding; building a reliable "match/probable/flag for review" output is something that I'm proficient in delivering.