About
Full-stack MERN developer with hands-on experience building and deploying scalable, AI-powered SaaS applications using React, Next.js, Node.js, MongoDB, PostgreSQL, and AWS (EC2, Lambda, API Gateway, S3). Skilled in designing REST and MCP-based APIs, integrating LLM/RAG pipelines (Gemini, Groq, Tavily), and shipping production features in fast-paced engineering teams.
Skills & Expertise (34)
Work Experience
AI Developer Intern
SreeMedhas Software Technologies
May 2026 - Aug 2026
Built and deployed 4 microservices using Express.js, Bun.js, Docker, AWS Lambda, and API Gateway, powering scalable serverless backend infrastructure for AI applications. Designed and deployed a Semantic Search MCP Server for a legal AI application (2 MCP tools) integrating AI keyword extraction, Indian legal search, and Qdrant semantic caching over HTTP transport; cut redundant API calls by ∼60% and reduced repeated-query latency from ∼5s to ∼1s. Delivered 2 Android features and co-built a 14-module Agentic AI & FDE training program; built Next.js/Tailwind interfaces, wrote technical documentation, and supported production debugging alongside senior AWS and AI engineers.
Full Stack Developer Intern
SIGMAVALUE
Dec 2025 - Mar 2026
Enhanced production web applications using Django REST Framework, React.js, and PostgreSQL; reduced frontend static load from 90MB to 30MB via CDN integration. Improved UI rendering speed 3x using React hooks and optimized 50+ REST APIs, boosting overall application performance by 40% while maintaining scalability. Maintained 15+ React.js frontend components and Django backend services; managed PostgreSQL databases via pgAdmin with GitHub version control.
Education
B.Tech, CSE (AI & ML) - KNRR College of Engineering & Research
- 2027 · Afghanistan
Certifications
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Skills (34)
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