AI for Impact 🌍 | ML & CV Developer 🤖 | Research Enthusiast 🧠 | Aspiring Data Scientist 📊 | Lifelong Learner 📚
I’m a final-year Computer Science undergrad specializing in Big Data Analytics, with a strong interest in solving real-world problems using AI, Machine Learning, and Computer Vision.
I enjoy building systems that are both intelligent and impactful — especially in the areas of accessibility, healthcare, and education.
Languages & Core:
ML / CV Frameworks:
Data & Cloud:
Data Visualization & BI:
Web & Dev Tools:
- 🔤 Kathanam – Real-time sign language translator (NLP + CV); Award-winning solution for social accessibility.
- 🧠 NeuroNet (XAI) – Brain tumor detection using a CNN, featuring Explainable AI to visualize prediction rationales.
- 📈 FinTrack: AI-Powered Finance – Full-stack platform focused on Generative AI for financial advice and budget allocation.
- 🏀 Sports Analyzer – Motion tracking using YOLO & MediaPipe to analyze basketball shots; achieved ~20% improvement in technique adherence.
- 🧠 Explainable AI (XAI) – Enhancing model interpretability in healthcare and vision systems
- 🤖 Multimodal & Generative AI – Combining vision + text; exploring LLMs, prompt engineering
- 🛠️ AI for Accessibility – Developing inclusive tools like sign language translators
- 🔍 Model Optimization – Real-time deployment, edge ML, and latency-aware architectures
- 📈 Data-Centric AI – Improving model performance through better datasets, not just bigger models
- 🔬 Awarded the prestigious Samsung PRISM Certificate of Excellence for outstanding performance during internship.
- 🥇 Winner – MOZOHACK 6.0 (1st place out of 900+ participants)
- 🎯 National Finalist – Smart India Hackathon
- 🥉 Finalist – BITS TechXcelerate & OSSOME HACKS 2.0
- 🌟 NPTEL Discipline Star – Recognized for 50+ weeks of distinction in CS/DS coursework.
- 📜 Certifications: IBM Python for AI · AWS ML Foundations · NPTEL ML & DS
"Building technology that empowers people." 🧠🌍