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Abhishek User

@abhishekuser35

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Backend & AI Engineer | Building FastAPI APIs, Agentic AI, RAG, and scalable enterprise applications.

India

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What I'm looking for

I want to build reliable backend systems and ship generative AI (RAG/LLM) workflows end to end, including integrations, performance optimization, and production-ready deployments in fast-moving environments.

I'm an Associate Software Engineer at Vedasva Systems, specializing in backend development and Generative AI. I build scalable applications using Python, FastAPI, React, TypeScript, and PostgreSQL, and develop Agentic AI solutions with LangChain, LangGraph, RAG, Ollama, and Qwen. I enjoy solving complex engineering problems, optimizing backend systems, and building production-ready AI applications that deliver real business value.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Vedasva Systems Pvt. Ltd.

Jan 2026 - Present (7 months)

Designed and developed scalable web applications using Python, FastAPI, React, TypeScript, and PostgreSQL. Built AI-powered features with RAG, and local LLMs, optimized backend performance, implemented secure APIs, resolved production issues, and collaborated in Agile development using Git.

Python fastAPI React TypeScript Qwen Ollama RAG PostgreSQL Qdrant Docker

Education

Degrees, certifications, and relevant coursework

Motilal Nehru National Institute of Technology Allahabad

Master of Computer Applications, Computer Applications

2023 - 2026

Grade: 8.1 CPI

Activities and societies: Participated in coding contests, hackathons, and technical workshops. Regularly solved Data Structures and Algorithms problems on LeetCode and GeeksforGeeks. Built full-stack projects using the MERN stack, collaborated using Git and GitHub, and explored AI technologies including LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).

Completed MCA from August 2023 to July 2026 with a strong foundation in software engineering, databases, operating systems, computer networks, and AI. Developed full-stack applications using Python, FastAPI, React, TypeScript, PostgreSQL, and the MERN stack while gaining hands-on experience with Agentic AI, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).

Rajdhani College, University of Delhi

Bachelor of Science (Hons), Electronic Science

2019 - 2022

Grade: 7.77 CGPA

Activities and societies: Participated in technical workshops, coding events, and science exhibitions. Completed electronics and embedded systems laboratory projects, collaborated on academic presentations, and developed problem-solving skills through practical experiments. Strengthened programming fundamentals and analytical thinking through coursework and self-learning.

Completed B.Sc. (Hons) in Electronic Science with a CGPA of 7.77. Built a strong foundation in analog and digital electronics, microprocessors, embedded systems, communication systems, and programming. Gained hands-on experience through laboratory work, mini-projects, and technical presentations, developing analytical, problem-solving, and teamwork skills.