I am a passionate Machine Learning & AI Developer with a strong foundation in Data Science, Machine Learning, and Generative AI — built on top of 4+ years of Software Development expertise.
I hold a Master's degree in Computer Science and recently completed the University of Toronto Machine Learning Software Foundations Program.
My journey blends full-stack development skills with cutting-edge ML/AI techniques to create intelligent, scalable, and impactful solutions.
💡 Career Focus: Machine Learning • Deep Learning • Computer Vision • Generative AI • Data Analytics
🌍 Open to: AI/ML engineering roles • Research-driven collaborations
Interactive React + TypeScript app that visualizes USGS earthquake data with a scrollable table ↔ scatter plot interaction.
Data analysis project exploring customer reviews to uncover trends, sentiment, and insights for an online women’s clothing store.
End-to-end dashboard that automatically transcribes videos, performs multilingual translation, and applies text analytics for insights.
Computer vision project using YOLOv3 for real-time helmet detection and face recognition to enhance safety compliance monitoring.
NLP project comparing BioBERT and ChatGPT in answering first-aid related questions, evaluating accuracy, relevance, and response quality.
- Machine Learning Software Foundations – University of Toronto
- Python for Data Science, AI, & Development – IBM
- Developing Front-End Apps with React – IBM
- Developing Back-End Apps with Node.js & Express – IBM
- Python for Everybody – University of Michigan
- Advance my expertise in Machine Learning, Generative AI, and MLOps.
- Build and deploy real-world AI solutions that create measurable impact.
- Contribute to open-source AI/ML projects.
✨ Feel free to explore my repositories to see my AI/ML projects. Let’s innovate together! 🚀