Projects

Projects

Below are AI-powered applications and intelligent systems built using cutting-edge GenAI technologies, LLMs, and modern web frameworks.

Inquestor : AI Agentic Research

Inquestor is an AI Agent built for research, featuring an interactive and user-friendly web interface built with Next.js and React that allows users to input queries, view structured results with sources, and download the generated research as a PDF document.

AI VR Interview Platform Using Conversational AI

An AI-powered VR Interview Platform leveraging conversational AI to simulate realistic interview scenarios. This platform helps users practice and refine their communication skills through interactive dialogues with AI-driven virtual interviewers, providing instant feedback and performance analysis.

A RAG app to ask queries about multiple PDFs simultaneously

An interactive PDF Chat Application built with Streamlit, allowing users to upload PDF documents and ask questions about their content. The app leverages Google's Generative AI (Gemini for chat, and embedding models for RAG) and LangChain to process PDFs, create FAISS vector stores, and provide context-aware answers. Features include multi-PDF management and persistent local vector storage.

More projects on Github

I love to build AI-powered applications with modern tech stacks & intelligent systems


GitHub

Skills

Python 90%
Generative AI 85%
LangChain & RAG 80%
Machine Learning 75%
Javascript 80%
MERN Stack 75%
AWS 100%
Vector Databases 70%

About

About Me

With expertise in Generative AI and modern web technologies, accompanied by a bachelor's degree in engineering, I bring proficiency in AI/ML, conversational AI systems, and full stack development. Skilled in crafting intelligent applications, RAG systems, and implementing scalable AI solutions. Demonstrated success in managing AI-driven projects and collaborating effectively with teams to deliver innovative solutions.

  • Profile: Software Engineer
  • Domain: GenAI, RAG Systems, MERN Stack & AI Chatbots
  • Education: Bachelor of Technology
  • Language: Python, Javascript, C++
  • AI Tools: LangChain, OpenAI APIs, Streamlit & Vector DBs
  • Other Skills: React.js, Node.js, MongoDB, Express.js, SQL, Git & JIRA
  • Interest: AI Research, Machine Learning, Traveling

Resume

Resume

Software Engineer with expertise in Generative AI, LLMs, and the MERN stack. Skilled in designing intelligent applications, RAG systems, and conversational AI solutions

Experience


2025 July - Present

Software Engineering Intern

Duco Consultancy

Contributing to AI-powered full-stack application development, with a focus on GenAI integration, performance optimization, and scalable system architecture.

  • Built and deployed 3+ full-stack web apps using React, Node.js, Express, and MongoDB, serving over 1,000 users.
  • Integrated OpenAI's GPT-4 APIs for document summarization, Q&A bots, and code explanation tools using LangChain pipelines.
  • Implemented semantic vector search using Pinecone and OpenAI embeddings, reducing information retrieval time by 60%.
  • Built dynamic REST APIs and secured them using JWT authentication; improved API response times by 45% via caching strategies.
  • Fine-tuned GPT prompts and chaining flows to optimize accuracy and relevance in chatbot interactions.
  • Containerized backend services with Docker and deployed them via GitHub Actions and Render.
  • Collaborated with cross-functional teams in Agile sprints; maintained 95%+ test coverage using Jest and Postman for API validation.

2024 April - June

AI Developer Intern

Meta XR(Formerly 3sGroomers)

Groomers is an Immersive and AI-enabled platform for students/professionals to practice and develop Communication skills through conversational AI

  • Developed conversational AI systems and natural language processing workflows.
  • Implemented AI-powered virtual assistants and intelligent tutoring systems.
  • Built AI NPCs (non-player characters) using advanced conversational AI frameworks.

Personal Experience

AI & Full Stack Development

My personal development experience includes various AI applications and full stack solutions that I have worked on throughout my college life.

  • Worked on LLM-based applications including chatbots, document analyzers, and intelligent agents.
  • Built AI-powered web applications with real-time data processing and machine learning integration.
  • Developed intelligent recommendation systems and automated content generation tools.



Education


2021-2025

Bachelor of Technology

Chandigarh Engineering College

Grade: 7

2019-2020

Higher Secondary School

Kendriya Vidyalaya

Grade: 80%

Contact

Contact Me

Below are the details to reach out to me!

Address

Bengaluru, India

Contact Number

+ 918423069420

Email Address

somesh13shukla@gmail.com