CSE (AI & ML) grad @ ANITS, Visakhapatnam · Building end-to-end ML solutions & production-ready applications
- Deep Learning & Computer Vision — Ensemble architectures (ResNet, EfficientNet, MobileNet), Grad-CAM explainability, medical image classification
- Natural Language Processing — Sentiment analysis pipelines, TF-IDF, document QA systems, text preprocessing at scale
- Data Science & Predictive Modeling — Feature engineering, model evaluation, statistical analysis, interactive dashboards
- Web Development — Full-stack apps with Flask, Streamlit, and the MERN stack
| Project | Description | Tech |
|---|---|---|
| skin-cancer-chatbot | Skin cancer lesion classification using ensemble deep learning (ResNet50 + EfficientNetB3 + MobileNetV2) on HAM10000 — 92% accuracy with Grad-CAM explainability | Python, TensorFlow, Keras, OpenCV, Streamlit |
| document-qa-bot | Document-based question answering bot for extracting insights from uploaded files | Python |
| streamlit3 | Social media sentiment analysis — classifies 50K+ posts (positive/negative/neutral) at 87% accuracy, with keyword extraction and trend tracking | Python, NLTK, scikit-learn, Streamlit |
| streamlit2 | F1 racing performance analysis & predictive modeling across 20+ years of race data with interactive visualizations | Python, Pandas, XGBoost, Matplotlib, Streamlit |
| compra_ai | AI-powered application with layout agent for intelligent UI generation | JavaScript |
| travel_booking | Full-stack travel booking web application built with Flask, MySQL, and responsive frontend | Python, Flask, MySQL, HTML/CSS/JS |
Languages Python · JavaScript · SQL · C++
ML / DL TensorFlow · Keras · PyTorch · scikit-learn · XGBoost
NLP NLTK · spaCy · TF-IDF
Data Pandas · NumPy · Matplotlib · Seaborn
Web Flask · Streamlit · Node.js · React · MongoDB
Cloud & Tools AWS · Git · Docker · Jupyter · VS Code · Linux
🏆 1st Place — ML Hackathon, Fest 2K25 (ANITS CSE AI & ML Dept, 50+ teams)
📜 Google Data Analytics Professional Certificate · Harvard CS50x · Azure Fundamentals (AZ-900)
📝 Research — Co-authored paper on AI-driven naval sonar Target Motion Analysis (Hybrid LSTM–Kalman Fusion)
🎓 CGPA: 8.33/10.0 — B.Tech CSE (AI & ML), ANITS
- Generative AI and LLM-powered applications
- Advanced deep learning architectures for real-world deployment
- Full-stack development with the MERN stack
Open to internships and full-time opportunities in AI/ML engineering.