Welcome to my GitHub!
I'm a Machine Learning Engineer based in New York, NY, with over 11 years of experience building robust AI and data-driven systems that power products at scale. I thrive on delivering high-impact solutions, mentoring teams, and contributing to open source.
- 🧑💻 Current Role: Machine Learning Engineer at Zillow (Zestimate Team)
- 📍 Location: NY/NJ
- 🎓 Education: MS in Computer Science (SUNY Buffalo), B.Tech (JIIT, India)
- 💡 Mission: Architecting intelligent, scalable ML platforms and products that solve real-world problems
Languages:
Python Java C/C++ Bash JavaScript HTML SQL
Frameworks & Tools:
PyTorch TensorFlow PySpark FastAPI Django
KubeFlow Metaflow DataBricks Docker Kubernetes
Terraform Gitlab CI MongoDB DocumentDB
- Realtime Valuation Platform: Designed and led an interactive CMA with property embeddings and comp APIs, boosting agent/buyer engagement and unlocking new revenue streams.
- ML Infra Modernization: Modernized valuation pipelines with Python, AWS, Docker, Terraform, saving $500k+ annually.
- Team Impact: Established ML coding standards, mentored new hires, and reduced on-call alerts by 95%.
- Revenue Optimization: Built ML pipelines to optimize subscription discounts, increasing revenue by 6% via A/B testing.
- Full-cycle ownership: Feature engineering, modeling, deployment, and monitoring.
- NLP & CV Projects: Speaker identification for earnings calls, fuzzy doc deduplication, company fact extraction, query expansion, real-time formula ranking.
- Big Data: Built scalable ETL and search features for financial data products.
- Pattern Mining: Time-series event detection, data harmonization frameworks for large enterprise data.
- Lotion: Unofficial Notion.so desktop app for Linux (2K+ ⭐, 60K+ downloads)
- Romadeva: Roman-to-Devanagari script converter (used by Translators Without Borders)
- jTextBrew: Java library for fuzzy string matching
- Quena: QA system indexing 1.6M Wikipedia docs
- Google Scholar
- “Inferring Latent Attributes of an Indian Twitter user…” (ACM Hypertext 2015)
- “Inferring gender of a Twitter user…” (CORR 2014)
- “Architecture for Automated Tagging and Clustering of Song Files…” (IJCSI 2010)
✉️ Email: puneet.ludu@gmail.com
- Organizer @ MUFin Workshop (AAAI 2023, PKDD 2022): Fostering research at the intersection of ML and finance.
- Always open to collaboration or a chat about ML, data, or new tech!
“Code is like humor. When you have to explain it, it’s bad.” — Cory House