GenAI Developer with hands-on experience building LLM-powered applications, agentic AI systems, and API-driven backends:

• 🚀 Agentic AI systems (LangGraph, LangChain, LangSmith, AutoGEN)
• 🤖 RAG pipelines & multimodal AI applications
• ⚙️ FastAPI/Flask-based AI backends and production workflows
• 📡 Scalable data & ML pipelines (Kafka, Airbyte)

Actively looking for GenAI / AI-ML Internship or Entry-Level SDE Role.

Junior AI Developer Intern — Intellypod | Remote | 01/2026 – 07/2026 (6 Months)

• Contributed to 3+ production-oriented AI projects
• Developed and enhanced ETL and ML pipelines based on business requirements
• Built scalable data integration workflows using Apache Kafka, Airbyte, and custom pipelines
• Designed and developed RESTful APIs using Flask and FastAPI for AI applications
• Built scalable RAG applications using document and database knowledge sources

• LLM Integration, Prompt Engineering, RAG
• LangChain, LangGraph, LangSmith
• Multi-Agent Systems, AutoGEN, Tool Calling
• Vector Databases (Qdrant)

• FastAPI, Flask, Django & DRF
• RESTful API Architecture, Pydantic

• MSSQL Server, PostgreSQL, MySQL, Supabase
• Apache Kafka, Airbyte, Qdrant
• Linux, Git, GitHub, Docker
• Cloud Deployment: Render, Vercel

• ML, NLP Pipelines, Transformer-based Concepts
• Deep Learning, Multimodal Embeddings

• Python (Advanced), OOPs

RAG Multimodal AI NLP Streamlit

• Multimodal RAG system for conversational Q&A over user-uploaded PDFs
• Combines text and CLIP image embeddings for retrieval
• Retrieval pipeline blending textual + visual context for accurate LLM responses
• Optimized chunking and prompts, deployed with Streamlit for real-time interaction

RAG API Integration Question Answer System

• RAG-powered application for interactive Q&A over YouTube videos
• Lets users query video content instead of manually searching footage
• Built with FastAPI and LangChain, efficient retrieval pipelines for real-time responses
• Currently supports English videos

Machine Learning

• Collaborative filtering–based recommendation engine
• Uses cosine similarity scores
• Dataset of 10,000+ TV shows + movies
• Generates personalized suggestions

Deep Learning NLP

• NLP-based next-word prediction system using deep learning (LSTM)
• Collected and processed a 10K+ real-world GitHub profiles dataset
• End-to-end ML pipeline: preprocessing, training, and inference
• Working prototype demonstrating practical text generation use cases

IIMT University — Bachelor of Computer Applications (BCA) | 2023 – 2026 | Meerut, Uttar Pradesh

• 🥈 2nd Position, Technovation 2025 – Project Presentation (IIMT University)
• 🏅 Top 50 Teams, Internal Hackathon – Smart India Hackathon
• 🌱 Active contributor to open-source and personal GenAI projects on GitHub