I'm a Computer Engineering graduate currently pursuing an MBA in Data Science & Business Analytics, with a strong interest in building scalable software, machine learning systems, GenAI applications, and data-driven solutions.

I enjoy solving real-world problems by combining software engineering, artificial intelligence, machine learning, and Data analytics.

• 🎓 Computer Engineering graduate
• 📊 MBA in Data Science & Business Analytics
• 💻 Interested in Software Engineering, AI/ML, Data Analytics, Data Engineering & GenAI
• 🤖 Building applications using Machine Learning, Computer Vision, NLP and LLMs
• ⚙️ Experienced with full-stack and backend development
• 📈 Interested in transforming data into actionable insights
• 🔐 Interested in backend security, APIs and system design
• 🚀 Always learning, building and experimenting with new technologies

Areas: Machine Learning • Deep Learning • Computer Vision • NLP • Generative AI • LLM Applications • Predictive Analytics

Areas: Data Cleaning • Exploratory Data Analysis • Statistical Analysis • Data Visualization • Feature Engineering • Predictive Modeling • Business Analytics

An AI-powered surveillance platform designed for real-time threat detection and public safety monitoring.

• 🚨 Fall Detection
• 🔐 Intrusion Detection
• 👥 Crowd Management
• 📦 Abandoned Object Detection
• 🎥 Real-time Video Analysis
• 📧 Automated Email Alerts
• 🖼️ Image-based incident notifications

Tech Stack: Python • YOLO • OpenCV • Computer Vision • Deep Learning

🔗 View Project

AI-powered system developed for the Hiver Open Challenge to generate context-aware email responses and evaluate the quality of generated replies.

• LLM-powered email response generation
• Context-aware reply suggestions
• Automated response evaluation
• Dataset generation and testing
• REST API backend
• Modular generator/evaluator architecture

Tech Stack: Python • FastAPI • LLMs • Gemini • Groq • NLP

🔗 View Project

A full-stack predictive analytics platform designed to identify potential production delays and provide actionable alerts.

• Production delay prediction
• Machine learning-based forecasting
• Operational monitoring dashboard
• Automated alerts
• REST API integration
• Interactive frontend

Tech Stack: Python • Machine Learning • React • TypeScript • Node.js • Tailwind CSS

🔗 View Project

Enterprise-style backend application implementing policy-based authorization and secure API access.

• JWT authentication
• Role and policy-based authorization
• RESTful APIs
• PostgreSQL persistence
• Redis caching
• Audit logging
• Design pattern implementation
• Secure backend architecture

Tech Stack: Java • Spring Boot • Spring Security • JWT • PostgreSQL • Redis

🔗 View Project

A real-time web chat application built around event-driven communication.

• Real-time messaging
• Socket-based communication
• User sessions
• Dynamic message updates
• Client-server event handling

Tech Stack: Node.js • Socket.IO • JavaScript

🔗 View Project

A React-based book discovery and management application using the Open Library API.

• Search books
• Browse book information
• API integration
• Responsive React interface
• Dynamic data rendering

Tech Stack: React.js • JavaScript • Open Library API

🔗 View Project

Machine learning project focused on predicting water quality using environmental data.

• 10,000+ records analyzed
• Data preprocessing and exploratory analysis
• Machine learning-based prediction
• Forecasting improvement through model optimization

Tech Stack: Python • Pandas • NumPy • Scikit-learn • Matplotlib

🔗 View Project

Artificial Intelligence
Machine Learning
Generative AI
Natural Language Processing
Computer Vision
Software Engineering
Backend Development
Data Analytics
Data Science
Data Engineering
Business Intelligence
Predictive Analytics
System Design

• Machine learning prediction systems
• Computer vision applications
• NLP applications
• LLM-powered applications
• AI automation systems

• REST APIs
• Backend systems
• Full-stack applications
• Authentication & authorization systems
• Real-time applications
• Scalable application architectures

• Data pipelines
• Exploratory data analysis
• Predictive analytics
• Business intelligence dashboards
• Data-driven decision systems

• Generative AI & LLM Applications
• Retrieval-Augmented Generation (RAG)
• Advanced Machine Learning
• Data Engineering
• System Design
• Cloud & DevOps
• Production-grade AI applications

• 🎓 Computer Engineering
• 📊 MBA — Data Science & Business Analytics
• 💻 Software & AI/ML project development
• 🤖 AI/ML hackathons and technical challenges
• 🧑‍💻 Open-source and GitHub project development
• 🎨 Patent for Crowd Managing AI-Surveillance System

I'm open to opportunities in:

Software Engineering • AI/ML • GenAI • Data Analytics • Data Science • Data Engineering