Building production-ready AI applications using Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.
- 🤖 AI/ML Engineer passionate about solving real-world problems with AI
- 🎓 Completed BCA from Shibli National College, Azamgarh (Batch 2023–2026) — CGPA 8.8
- 🏫 Currently pursuing MCA (Online) from Lovely Professional University, specializing in AI/ML
- 🧠 Building intelligent systems using LLMs, RAG, and Agentic AI
- ⚡ Experienced with FastAPI, LangChain, LangGraph, TensorFlow, and Scikit-learn
- 📚 Currently learning MLOps, Docker, AWS, and scalable AI deployment
- 🌱 Open to AI/ML Engineer, GenAI Engineer, and Applied AI roles
Languages
Machine Learning
Deep Learning
NLP
Generative AI & Agentic AI
Backend
DevOps
Production-ready Retrieval-Augmented Generation chatbot capable of answering questions over uploaded PDF documents using context-aware retrieval.
Highlights: PDF ingestion pipeline · ChromaDB vector store · LangGraph workflow orchestration · Threaded conversations · Tool calling · Streaming responses · SQLite checkpointer · FastAPI backend
Stack: Python FastAPI LangChain LangGraph ChromaDB Sentence Transformers SQLite
AI meeting assistant that transforms meetings, YouTube videos, and audio recordings into searchable knowledge.
Highlights: Audio transcription · Meeting summarization · Action item extraction · Decision extraction · Semantic search · RAG-based question answering
Stack: Python FastAPI Faster-Whisper LangChain ChromaDB Sentence Transformers
Autonomous AI agent that researches topics, creates outlines, writes complete blogs, and performs iterative self-review before generating publication-ready Markdown.
Highlights: Multi-step LangGraph workflow · Autonomous research · AI outline generation · Self-review loop · Markdown export · Configurable writing style
Stack: Python LangGraph LangChain Ollama Llama 3 FastAPI
End-to-end weather forecasting platform using Machine Learning and Deep Learning for rainfall and temperature prediction.
Highlights: XGBoost rainfall prediction · LSTM temperature forecasting · Feature engineering · REST API · Historical weather preprocessing
Stack: Python FastAPI Scikit-learn XGBoost TensorFlow Pandas
Content-based movie recommendation engine powered by NLP techniques and TMDB metadata.
Highlights: TF-IDF vectorization · Cosine similarity · TMDB metadata pipeline · FastAPI backend · Real-time recommendations
Stack: Python Scikit-learn FastAPI Pandas TMDB API TF-IDF
Semantic similarity classifier that predicts whether two questions are duplicates using NLP feature engineering and supervised learning.
Highlights: Text preprocessing · TF-IDF & Word2Vec · Semantic similarity features · Machine learning classification · FastAPI inference API
Stack: Python Scikit-learn Pandas NLTK Word2Vec
MLOps AWS Kubernetes CI/CD Advanced Agentic AI Distributed AI Systems