AI/ML-focused Software Engineer with a background in Computer Systems Engineering.

I design and deploy intelligent systems using machine learning, NLP, and data-driven architectures — from model training to production-ready applications.

Bridging the gap between data science and real-world scalable software.

🤖 Building end-to-end ML pipelines (data → preprocessing → modeling → deployment)

📊 Working with real-world datasets, feature engineering & model evaluation

🧠 Specialized in NLP, classification, and predictive modeling

⚙️ Deploying ML-powered apps using Streamlit, Flask, and cloud platforms

💼 Open to AI Engineer / Machine Learning Engineer / Data Scientist roles

• Developed and deployed NLP-based classification systems

• Built real-time sentiment analysis pipelines for financial data

• Strong experience in data preprocessing, feature engineering, and model evaluation

• Created interactive ML dashboards for data-driven decision making

• Combined full-stack engineering with ML systems for production-ready apps

Focused on real-world AI applications, data pipelines, and deployable machine learning systems.

Python NLP Machine Learning Streamlit Jupyter

Built an end-to-end NLP pipeline to classify news as real or fake using feature extraction and supervised learning models. Includes preprocessing, vectorization, model evaluation, and deployment.

Python NLTK VADER Pandas Matplotlib Finviz

Designed a real-time sentiment analysis system that scrapes financial news and evaluates market sentiment for stock tickers, visualizing trends for investment insights.

React Node.js PostgreSQL Stripe Clerk Auth Express

A production-ready premium sneaker store with Stripe payment processing, Clerk authentication, admin dashboard, and transactional emails. End-to-end e-commerce solution built for scale.

React Node.js Express MongoDB Socket.io

A full MERN stack real-time chat application with live messaging, profile management, customizable themes, and responsive UI. Deployed on Render.

React React Native Node.js Express MongoDB WebSockets

Full-stack Twitter/X clone with timeline feeds, trending topics, notifications, direct messaging, and profile management — using the complete MERN + Sockets stack.

Python Flask SQLite JavaScript

Mobile-responsive quiz platform with multiple subjects, animated UI, sound effects, and a persistent leaderboard. Full-stack Python/Flask backend.

✅ Strong foundation in Machine Learning & Data Science

✅ Ability to build and deploy full-stack AI applications

✅ Experience with real-world problem solving using data

✅ Clean, scalable, and production-ready code practices