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Srujan Prabhu Kumar M.

@srujanprabhu18

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AIML Engineer | N8N Developer | Automation |

$20 USD / tunti

Maan  lippu

India (3:36 ap.)

Liittyi toukokuuta 19, 2024

$20 USD / tunti

I’m a Computer Science graduate specializing in AI and Machine Learning, with hands-on experience in automation, API integration, and AI-based workflows. I build smart automation systems using tools like n8n, Python, and JavaScript to connect apps, trigger workflows, and reduce manual work. I’ve also worked on projects combining AI and automation for data extraction, web scraping, and workflow optimization. My goal is to create efficient, scalable solutions that make business processes faster and smarter.

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Kokemus

Data Engineer

helmik., 2025 - Esittää

11 kuukautta, 14 päivää

Relu Consultancy

helmik., 2025 - Esittää

11 kuukautta, 14 päivää

Worked on building automation workflows using n8n to connect APIs, process data, and trigger intelligent actions across different systems. Designed and deployed scalable workflows for web scraping, data transformation, and AI-powered automation. Integrated third-party SaaS tools using REST APIs and OAuth2, reducing manual work and improving efficiency. Created automation pipelines that connected AI models, databases, and web services to deliver end-to-end smart solutions for clients.

Maan  lippu

Eluru, India

helmik., 2025 - Esittää

11 kuukautta, 14 päivää

Koulutus

Chandigarh University

2021 - 2025

4 vuotta

Bachelor of Engineering in Computer Science - AI & ML

Maan  lippu

India

2021 - 2025

4 vuotta

Pätevyydet

NPTEL

2023

IIT Ropar

Completed various NPTEL certifications in Python and Artificial Intelligence from IIT Kharagpur, gaining a strong understanding of Python programming, data handling, and problem-solving using real-world examples and assignments.

2023

Julkaisut

Generating Realistic Images Through GAN

2025

IEEE

Developed a system using generative adversarial networks (GANs) to produce highly realistic images. The study designed a generator network and a discriminator network that trained adversarially: the generator creates synthetic images, and the discriminator judges whether they’re real or fake. Over time, the generator improves until the images are almost indistinguishable from real ones. The experiments showed strong visual quality, good diversity of outputs and a stable training process.

2025

Controlling Mouse Cursor through Eye Movement

2025

IEEE

Developed a real-time system that tracks eye movement and translates gaze into mouse cursor control. Utilized computer vision and machine learning techniques to detect eye position, map it to screen coordinates, and allow hands-free cursor operation. Demonstrated usability, accuracy, and latency measurements in testing.

2025

Performance Evaluation of Machine Learning Algorithms for Prediction of Cardiac Failure

2023

IEEE

Led a study evaluating multiple machine-learning algorithms to predict cardiac failure using clinical/health-data features. The research compared models like logistic regression, decision trees, support-vector machines and ensemble methods, assessed their performance based on accuracy, recall, precision and AUC, and identified which algorithms work best in this medical-prediction context.

2023

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