I'm a Computer Engineering graduate focused on building scalable backend systems, AI-powered applications, and full-stack products.

I enjoy working with Java, Python, Node.js, FastAPI, Spring Boot, React, LangGraph, RAG, REST APIs, databases, and Docker to turn ideas into practical software solutions.

• 🎓 Computer Engineering graduate
• 💻 Interested in Backend Engineering, AI/ML, Generative AI & Full-Stack Development
• 🤖 Building applications using LLMs, RAG and AI Agents
• 🚀 Experienced with FastAPI, Node.js, Express.js and Spring Boot
• 🗄️ Comfortable with MySQL, MongoDB and SQL
• 🐳 Interested in Docker, CI/CD and cloud technologies
• 🧠 Strong foundation in DSA, OOP, DBMS, OS and Computer Networks
• 🔍 Currently improving my skills in System Design, Backend Engineering and AI Engineering

AI-powered pharmaceutical complaint management platform designed for API/FDF manufacturing Quality Assurance workflows.

• 📄 AI-powered complaint document extraction
• 🤖 LangGraph-based AI agent workflow
• ⚠️ AI risk classification
• 📋 Complaint completeness checking
• 🔍 Duplicate complaint detection using SQL + fuzzy matching
• 💬 Document-grounded AI chat
• 📡 SSE-based real-time updates
• 🐳 Docker Compose deployment

Tech: React, TypeScript, FastAPI, LangGraph, Groq, MySQL, SQLAlchemy, Docker

An AI-powered Retrieval-Augmented Generation (RAG) application for interacting with enterprise documents.

• 📄 Document ingestion and processing
• 🔎 Semantic document retrieval
• 🤖 LLM-powered question answering
• 🧩 LangChain-based RAG pipeline
• 📚 Vector database integration
• ⚡ FastAPI backend
• 🔐 Environment-based configuration

Tech: Python, FastAPI, LangChain, HuggingFace, ChromaDB, Transformers

A full-stack hotel booking application with a scalable backend architecture.

• 🏨 Hotel/listing management
• 🔐 User authentication
• 📅 Booking management
• 🔎 Search and filtering
• 🗄️ MongoDB database
• 🧩 MVC architecture
• 🌐 REST API integration

Tech: Node.js, Express.js, MongoDB, JavaScript, EJS

A real-time video conferencing platform built using WebRTC and Socket.io for low-latency communication and real-time participant synchronization.

• 🎥 Real-time peer-to-peer audio and video communication
• 🔌 WebRTC-based P2P streaming
• ⚡ Socket.io signaling server
• 👥 Room and participant management
• 🔐 JWT-based authentication
• 🔒 Bcrypt password hashing
• 🔄 Real-time state synchronization
• 🎨 Responsive React.js interface

Tech: React.js, Node.js, Express.js, WebRTC, Socket.io, MongoDB, Material UI

A content-based music recommendation system that analyzes audio characteristics to generate personalized playlists.

• 🎧 Content-based music recommendation
• 🔊 Audio feature extraction using Librosa
• 📊 MFCC, Chroma and Spectral Contrast analysis
• 🎼 Processing of 10K+ audio tracks
• ⚡ Flask REST APIs for recommendations
• 📈 Optimized audio-processing pipeline

Tech: Python, Flask, Librosa, Pandas, Recommendation Systems

A machine learning system designed to predict the risk of student dropout using academic, demographic and behavioral features.

• 📊 Student dataset preprocessing
• 🔢 Feature encoding and normalization
• 🤖 Deep Neural Network classification
• 📈 Model performance comparison
• 🌳 Random Forest
• 📉 Logistic Regression
• 🧮 Naive Bayes
• 🧠 TensorFlow/Keras DNN

Tech: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras

• Data Structures & Algorithms
• Object-Oriented Programming
• Database Management Systems
• Operating Systems
• Computer Networks
• REST API Design
• MVC Architecture
• Microservices Concepts
• System Design
• Software Engineering

Backend Engineering
       ↓
System Design
       ↓
Distributed Systems
       ↓
Generative AI
       ↓
RAG & AI Agents
       ↓
Cloud & DevOps