I'm an AI/ML Engineer with a Post Graduate Diploma in Artificial Intelligence from C-DAC Noida and a B.E. in Electronics & Communication Engineering.

I build practical AI applications using Machine Learning, Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Computer Vision, FastAPI, and Python.

My focus is on transforming AI concepts into working, deployable applications with data pipelines, machine learning models, retrieval systems, APIs, and interactive interfaces.

• 🤖 AI/ML Engineer
• 🧠 Generative AI Engineer
• 🔎 Machine Learning Engineer
• 🐍 Python Developer
• 📊 Data Science / ML Roles
• ⚡ AI Automation / AI Application Engineer

Concepts

Regression · Classification · Ensemble Learning · Feature Engineering · Anomaly Detection · Model Evaluation · Time Series Forecasting

Working With

RAG · Prompt Engineering · Embeddings · Semantic Search · Vector Search · MMR Retrieval · Document Processing · LLM Applications

A machine-learning based retail analytics platform designed to forecast demand and support inventory planning.

• 📊 30-day sales forecasting
• 📦 Stock purchase recommendations
• 🤖 Machine-learning based demand prediction
• 📈 Interactive Streamlit dashboard
• 🧠 RAG-based retail insights assistant
• 📉 Historical sales analysis
• 🔄 Data preprocessing and feature engineering

Tech Stack

Python Pandas NumPy Scikit-learn Machine Learning RAG Streamlit

A Retrieval-Augmented Generation application that allows users to ask questions over their own documents.

• 📄 Document ingestion and processing
• ✂️ Text chunking and preprocessing
• 🧠 Sentence-transformer embeddings
• 🔎 Semantic retrieval
• 🎯 MMR-based retrieval
• 🧠 LLM-powered answer generation
• 👍 Helpful / Not Helpful feedback
• ⚡ Response caching
• 🚀 FastAPI backend
• 🔗 Vector-based document retrieval

Tech Stack

Python LangChain Hugging Face RAG FastAPI Embeddings Vector Search

🔗 View Repository →

A machine-learning system designed to identify unusual patterns and potential anomalies in data.

• 🌲 Isolation Forest
• 🧠 Autoencoder
• 🔧 Data preprocessing
• 📊 Feature analysis
• 📈 Anomaly visualization

Tech Stack

Python Scikit-learn TensorFlow Pandas NumPy

🔗 View Repository →

A computer vision project for multi-class object detection using YOLO.

• 🎯 Multi-class object detection
• 📷 Image-based detection
• 🧠 YOLO model training
• 📊 Model evaluation
• ⚡ Ultralytics implementation

Tech Stack

Python YOLO Ultralytics OpenCV

🔗 View Repository →

C-DAC Noida
2025 – 2026

81.47%

Government Engineering College, Gandhinagar
2019 – 2023

8.02 CGPA

Artificial Intelligence · Machine Learning · Generative AI · RAG

LLM Applications · Agentic AI · Computer Vision · Data Science

Python Development · AI Automation · FastAPI · MLOps

Generative AI       ████████████████████  RAG & LLM Applications
Machine Learning    ██████████████████░░  ML Systems
Python              ████████████████████  Backend & Automation
FastAPI             █████████████████░░░  AI APIs
Agentic AI          ███████████████░░░░░  AI Agents
Docker & CI/CD      ██████████████░░░░░░  Deployment