I'm a Staff Machine Learning Engineer at PayPal, where I architect and scale real-time ML infrastructure powering intelligent shopping across millions of merchants. Formerly at Chegg, I helped revolutionize student learning with LLM-driven tools and Generative AI solutions.
My passion lies in making AI useful and accessible — from research to real-world applications.
Languages: Python | Java | C++ | R | SQL | Bash | HTML | CSS | JavaScript
Frameworks: PyTorch | TensorFlow | Keras | Sklearn | RAG | LangChain | Transformers
Domains: NLP | Deep Learning | LLMs | GenAI | ML Systems | Infra
Tools & Platforms: AWS | Docker | Git | REST APIs | Postgres | MongoDB | Postman🚀 Staff ML Engineer @ PayPal
- Scaling ML infra for real-time, AI-powered shopping surfaces across global merchants.
- Leading ML Ops initiatives and aligning AI strategies with business goals.
🧠 Sr. ML Engineer @ Chegg Inc.
- Architected LLM Agents and RAG pipelines for personalized study help.
- Built CheggMate, an AI assistant transforming how students learn.
- Taught and mentored in Web Development (CS5610).
- Guided students in building full-stack apps from scratch.
- Aspecto Tech – Computer Vision Research
- Koireader Technologies – NLP & CV in supply chain
- NTU, Singapore – AI for Healthcare Research
- 🎹 I play the Piano — check out my covers on YouTube
- 🍜 A true foodie – always exploring new flavors and cuisines.
- 💡 Passionate about blending AI, Education & Human-Computer Interaction
- 💬 Ask me about AI ethics, LLMs in production, or building resilient ML systems!