Headline

AI Engineer | Building Agentic Workflows with LangGraph & RAG | Specialized in High-Performance Inference (Groq LPUs, vLLM) | Full-Stack (MERN) Software Engineer | Full Stack | Distributed Systems | Node.js & React

About

Building the next generation of autonomous systems. I build AI systems that do more than just "chat." As an engineer at the intersection of System Architecture and Generative AI, I specialize in transforming LLM research into production-grade, autonomous agents. My work focuses on building Agentic Workflows using LangGraph and optimizing RAG pipelines that prioritize precision and low-latency performance. Whether it’s architecting multi-agent systems that reason through complex sub-tasks or achieving 500+ tokens/sec inference speeds using Groq LPUs, I am obsessed with the "Ops" in LLMOps—ensuring AI is scalable, grounded, and audit-ready. What I bring to the table: Foundational Rigor: GATE 2023 (AIR 5690) and 500+ LeetCode problems solved. Agentic Orchestration: Specialized in LangGraph, LangChain, and Agentic RAG. Full-Stack Performance: Expert in Python (FastAPI/Django), React, and SSE-based real-time streaming. System Engineering: 2.5+ years at TCS managing Dockerized microservices and cloud-native infrastructure. As a Software Engineer with ~2 years of experience, I specialize in architecting high-performance distributed systems and modern full-stack applications. At TCS, I led the migration of legacy monolithic architectures to Node.js/React, successfully reducing page load latency by 40% and cutting network round-trips by 30%. I am a firm believer in strong CS fundamentals. I ranked in the Top 5% of engineering graduates nationwide (GATE 2023) and have solved 500+ problems on LeetCode, focusing on complex Graph Theory and Dynamic Programming. Tech Stack: Languages: JavaScript (ES6+), Python, C++, Java, SQL Backend: Node.js, Express, Flask, REST APIs, Redis, GCP Frontend: React, Angular, Redux, Tailwind CSS Productivity: Cursor, GitHub Copilot, Gemini, DeepSeek

Location

Vadodara

Work experience

System Engineer at Tata Consultancy Services, Nov 2023 - Present · 2 yrs 6 mos, Gandhinagar, Gujarat, India, Architected and deployed an internal Generative AI Knowledge Base using a two-stage RAG pipeline (Retrieval-Augmented Generation) with Cross-encoder reranking, improving search accuracy by 25% across enterprise data stores. Engineered a real-time analytics dashboard leveraging React and Server-Sent Events (SSE) to handle streaming LLM responses, successfully reducing perceived UI latency by 40% for stakeholders. Developed high-throughput backend microservices using Python (FastAPI) and Asynchronous Task Queues (Celery/Redis) to process complex data pipelines for BFSI clients. Built and maintained scalable infrastructure using Docker and Kubernetes, automating deployment workflows through CI/CD pipelines (Jenkins/GitHub Actions) to reduce production release cycles. Integrated specialized data architectures, including Vector Databases (Qdrant/Pinecone) and relational systems (PostgreSQL/MSSQL), to support advanced information retrieval and stateful conversational agents. Led the development of internal developer tools adopted by 3 separate business units, focusing on standardizing prompt engineering templates and RAG evaluation using the Ragas framework. 🔹 Collaborated closely with cross-functional teams including designers, product managers, and QA engineers to define project requirements, identify technical solutions, and ensure timely delivery of projects. 🔹 Implemented best practices for code quality, performance optimization, and scalability, resulting in improved application performance and user satisfaction. 🔹 Conducted code reviews, provided technical guidance, and mentored junior developers to foster a culture of continuous learning and professional growth within the team. 🔹 Actively participated in Agile development processes, including sprint planning, daily stand-ups, and retrospectives, to iterate and improve upon software development workflows.

Academic Intern at Tata Consultancy Services, Feb 2023 - Apr 2023 · 3 mos, Gandhinagar, Gujarat, India, As a Data Science Intern with a system engineering foundation, I bridge the gap between raw data and production-ready AI. I architect end-to-end pipelines—ingesting unstructured data into vector stores and optimizing RAG accuracy using the Ragas evaluation framework. My core focus is designing autonomous agentic workflows with LangGraph, where I decompose complex business queries into executable tasks.

Software Engineer Intern at Startup Hq, Jun 2022 - Jul 2022 · 2 mos, Mumbai, Maharashtra, India, Worked on Ui/Ux, frontend and backend of website. Also integrated Weather API and location API

Education

Bachelor of Engineering - BE, Computer Engineering, Government Engineering College, Dahod 018

Intermediate, Mathematics, Urmi School