Open to opportunities

Rajneesh Chaudhary

@rajneeshchaudhary

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Software engineer building scalable backends and AI apps with RAG and vector search.

India

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What I'm looking for

I’m looking for an opportunity where I can build scalable backend systems and AI-powered features, especially with RAG and vector search, while continuing to grow through impactful projects and strong engineering practices.

I’m a software engineer with a strong algorithmic mindset and hands-on backend development experience, including AI-powered applications. I build context-aware systems using RAG, vector search, and LangChain, focusing on scalable architectures, reliable data pipelines, and secure APIs.

I’ve developed full-stack and backend services for applications like an AI-powered journal assistant and a competitive programming platform, including authentication, semantic search, and asynchronous judging pipelines. As a Generative AI intern at Techsalo Infotech, I worked on retrieval pipelines and prompt optimization, and I also mentor 30+ students to strengthen problem-solving and time/space complexity.

Experience

Work history, roles, and key accomplishments

Generative AI Intern

Techsalo Infotech

May 2025 - Aug 2025 (3 months)

Developed backend workflows for RAG applications using LangChain to generate context-aware LLM responses. Built document processing and semantic search pipelines using embeddings and vector databases, and designed and optimized retrieval/prompting for response quality.

Generative AI RAG Lang Chain Backend Development LLM Prompt Engineering Semantic Search Embeddings Vector Databases Document Processing

DSA & Competitive Programming Mentor

Freelance / Peer Mentoring

Jul 2024 - Feb 2025 (7 months)

Mentored 30+ students in competitive programming and problem solving through code reviews and structured learning roadmaps. Focused on improving solution efficiency by addressing time and space complexity and covering core DSA topics.

Competitive Programming Data Structures And Algorithms (DSA)Problem Solving Code Review Time And Space Complexity Dynamic Programming Learning Maps