About Me
I'm a final-year B.Tech CS student at Adani University working as an Associate AI Engineer at ProductSquads. I specialize in building production-grade Agentic AI solutions, from multi-modal document extraction pipelines to serverless event-driven AI assistants on AWS.
Technical Skills
Languages
Agentic AI
Frameworks
Data
Cloud & DevOps
Experience
My professional journey, education, and certifications.
Associate AI Engineer
ProductSquads
Building scalable Agentic AI infrastructure and tools for production use cases. Architected multi-agent orchestration systems and event-driven AI pipelines on AWS.
AI Intern
ProductSquads
Developed prototypes for internal AI tools, focusing on document extraction and semantic search. Collaborated with full-stack teams to integrate LLM features into existing products.
Full Stack Intern
Meru Technosoft
Contributed to the development of web applications using the MERN stack. Built responsive user interfaces and RESTful APIs for fintech dashboards.
B.Tech Computer Science
Adani University
Final year engineering student. Focus on Artificial Intelligence and full-stack development. Leading the campus developer club and organizing hackathons.
Anthropic MCP Certification
Anthropic
Certified in building and integrating the Model Context Protocol (MCP) for Claude and other LLMs.
AWS Certified Cloud Practitioner
Amazon Web Services
Foundational understanding of AWS Cloud concepts, security, and architecture.
Selected Projects
Some of the things I've built recently.
An interactive Question and Answer application that leverages large language models to provide accurate, context-aware responses to user queries based on provided document sets.
A high-performance URL shortener and click tracking platform. Features include real-time analytics, geographic data visualization, and a robust API for programmatic link generation.
An autonomous agent capable of conducting deep, multi-step research on complex topics. It plans its queries, gathers information, synthesizes findings, and generates comprehensive reports with citations.
A RAG implementation designed specifically for enterprise environments with strict data privacy requirements. Includes PII redaction, access control filtering at the vector database level, and audit logging.