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ABHAY MADAAN

Generative AI & Full Stack Developer

I am a Generative AI and Full Stack Developer with 2+ years of experience building AI-powered systems and scalable web applications. I improved backend performance by up to 70% through optimization and scalable architecture. My current focus is on bridging backend engineering and AI, including RAG pipelines and multimodal search.

Skills

JavaScriptTypeScriptPythonSQLC/C++RAG PipelinesHuggingFaceLangChainWeaviateGroqMultimodal SearchLLM IntegrationNode.jsExpress.jsFastAPIRESTful APIsSocket.IOBullMQCeleryAsynchronous PythonReact.jsNext.jsReact NativePostgreSQLMongoDBRedisDockerAWSScrapySeleniumGitLinux

Projects

UrFitAI

AI Fashion Discovery Platform using FastAPI, Python, HuggingFace, Next.js, RAG, Weaviate. Engineered a RAG pipeline using LangChain and Groq (Llama 3.3 70B) — retrieving semantically matched products from Weaviate via CLIP image and sentence-transformer text embeddings, injecting them as context into the LLM for grounded, product-aware styling recommendations.

Betski

iGaming Platform using Node.js, PostgreSQL, Redis, BullMQ. Developed core platform features (VIP Levels, Campaign Management, Bonus Systems, Race Engine) and optimized public APIs via query tuning and Redis caching, improving response times and scalability.

Ready Taxi

Ride-Hailing Platform using NodeJS, Next.js, MongoDB, Socket.IO. Architected a multi-role platform (customers, drivers, dispatchers, fleet operators) with JWT-based RBAC and real-time trip tracking, dynamic driver allocation, and live ride updates via Socket.IO.

Experience

Gammastack

Nov 2025 – Present

Develop and maintain high-scale iGaming platforms using Node.js, BullMQ, Redis, and PostgreSQL, optimizing public APIs via query tuning and caching — reducing p95 response times by 35%. Delivered business-critical features including VIP Levels, Campaign Management, Bonus Systems, and Race Engine to drive user engagement and platform growth. Concurrently building AI-powered applications using LangChain, RAG pipelines, Weaviate, Groq (Llama 3.3 70B), and CLIP — applying GenAI to multimodal search and product recommendation use cases.

75 Way Technologies Pvt. Ltd.

Jan 2024 – May 2025

Developed scalable full-stack applications using Node.js, React.js, React Native, and PostgreSQL across multiple business domains. Reduced backend response time by up to 70% through query optimization, caching, and asynchronous workflow implementation. Integrated Stripe payment gateway with secure webhook validation and complete payment lifecycle handling for reliable transaction processing.

Education

Guru Nanak Dev Engineering College, Ludhiana

Bachelor of Technology in Computer Science2020 – 2024

8.3/10

Get in Touch

Interested in collaboration or just want to say hello? Feel free to reach out!

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