Generative AI Engineer with 3+ years in MERN Stack & AWS.
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Innovative Full Stack & Generative AI Developer with 3 years of experience architecting scalable Enterprise AI applications. Expert in the MERN Stack, Next.js, and Cloud Architecture (AWS). Specialized in building RAG (Retrieval-Augmented Generation) pipelines, LLM Orchestration, and AI Agents using LangChain, OpenAI SDK and AWS Bedrock. Proven track record of delivering secure, high-performance solutions with enterprise-grade stability.
Indira Gandhi University, Haryana
B.Tech · Computer Science & Engineering
August 1, 2017 – June 30, 2021
FabApps (Paytm Backed)
Full Stack Developer (Gen Al Lead)
May 1, 2025 – Present
India
Yanthraa Information Systems (YC-2021)
Full Stack Developer (Gen Al Lead)
May 1, 2023 – May 1, 2025
India
SAMADHAN (Enterprise RAG System)
May 1, 2025 – Present
Architected a secure ingestion pipeline using AWS Cognito for authentication and Uppy with Svar File Manager for multi-part S3 uploads. Engineered an asynchronous processing system using BullMQ workers to handle OCR, text chunking, and vector embeddings, reducing system bottlenecks. Developed a sophisticated LangChain system with 10 specialized agents, featuring short/long-term memory and voice input for complex dataset querying. Implemented real-time user updates using Server-Sent Events (SSE) and integrated GuardRails for enhanced data security.
BART Railways AI-Powered Assistant (U.S. Govt.)
May 1, 2023 – May 1, 2025
Architected an AI assistant serving 60,000+ employees, automating ticket management, system inquiries, and password management. Built high-performance AWS Bedrock voice bots achieving sub-3 second latency and integrated a custom Gooey AI avatar for accessibility. Engineered a multi-layer security system utilizing Face-API.js, OneLogin SSO, and email OTPs for facial authentication. Integrated Salesforce APIs to facilitate automated internal ticket management workflows.
Cultural Fit Analysis
The candidate's experience across two professional roles, both as a 'Full Stack Developer (Gen AI Lead)', demonstrates a clear career trajectory and commitment to the Generative AI domain. The projects, 'SAMADHAN (Enterprise RAG System)' and 'BART Railways AI-Powered Assistant', showcase diversity in application domains (enterprise RAG, government AI assistant) and a breadth of technical challenges tackled. This indicates adaptability and a willingness to engage with varied problem spaces, which aligns well with dynamic, innovation-driven environments.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in Generative AI roles and experience in architecting complex systems, suggesting strong problem-solving, critical thinking, and project ownership. The focus on enterprise solutions implies an understanding of operational stability, scalability, and security. The 'Best Performer Award' indicates a results-oriented attitude and efficiency.