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Lead Software Engineer with 7+ years in Node.js, TypeScript & Cloud
Senior Software Engineer with 6+ years of experience building scalable backend systems and cloud-native applications using Node.js, NestJS, TypeScript, and AWS. Specialized in event-driven architectures, microservices, Redis-based caching, and asynchronous processing using SQS and Lambda. Experienced in optimizing API performance, reducing infrastructure costs, and designing production-grade distributed systems. Strong frontend expertise in React with focus on scalable architecture, performance optimisation, and maintainable UI development. Recently focused on building AI-powered applications and LLM-driven APIs using Retrieval-Augmented Generation (RAG), vector search (Pinecone), semantic retrieval, and OpenAI tool/function calling for assistant-style backends.
Subharti University
MCA · Master of Computer Applications
August 1, 2018 – June 30, 2020
Happiest Minds Technologies
Module Lead | Senior Software Engineer
December 1, 2022 – Present
Noida, Uttar Pradesh, India
Shyplite
Software Engineer
June 1, 2022 – November 1, 2022
Gurgaon, Haryana, India
RNF Technologies
Software Engineer
April 1, 2021 – May 1, 2022
Noida, Uttar Pradesh, India
Xplorabox
Software Engineer
June 1, 2019 – March 1, 2021
Noida, Uttar Pradesh, India
AI Portfolio Assistant (RAG + Multi-Agent System)
January 1, 2024 – June 30, 2026
Built a multi-assistant AI backend using Node.js, OpenAI, Pinecone, and RAG. Implemented semantic retrieval using vector embeddings and cosine similarity search. Designed tool-enabled AI agents using OpenAI function calling. Developed a PDF ingestion and chunking pipeline with Pinecone vector indexing. Added real-time streaming responses using Server-Sent Events (SSE). Built a modular assistant architecture supporting multiple AI personas. Implemented dual retrieval using Pinecone vector search and local in-memory retrieval.
Cultural Fit Analysis
The candidate's project diversity, including an AI Portfolio Assistant and various full-stack applications, shows a breadth of interest and adaptability. Their experience across different companies and roles, from full-stack development to module leadership, suggests a proactive and growth-oriented mindset. The focus on AI/ML in recent experience and personal projects aligns well with an innovative culture.
Soft Skills & Operational Fit
The candidate demonstrates leadership qualities through their Module Lead role, mentoring junior engineers, and driving architecture decisions. Their experience in cross-functional collaboration and Agile/Scrum practices indicates good operational fit. The project descriptions are clear and highlight problem-solving and system design capabilities.