Siddharth Bhatia
Co-Founder And CEO at Puch AI
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSiddharth Bhatia is a founder and AI entrepreneur with a decade of experience building applied machine learning products from research to market, currently leading Puch AI and TurboML out of Palo Alto. He focuses on voice-first, local, and accessible AI designed for mass reach, aiming to "build AI for billions" with privacy-preserving, on-device approaches. His background blends deep research—PhD-level work from the National University of Singapore and internships at Google, AWS, Microsoft Research, and Cambridge—with hands-on data science engineering, including contributions to real-time anomaly detection on streaming graphs. As a CEO who still codes, he has tangible experience in model training and evaluation pipelines and shipping production-ready algorithms for security and fraud detection. Siddharth’s trajectory shows a rare mix of academic rigor and product-driven entrepreneurship, often prioritizing edge deployment and user accessibility over cloud-centralized solutions.
10 years of coding experience
BITS Pilani, Birla Institute of Technology and ScienceHigh School, High School at Delhi Public School, Vasant KunjDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore
Github Skills (6)
anomaly-detection10
python10
machine-learning9
data-analysis8
fraud-detection6
intrusion-detection6
Programming languages (8)
Github contributions (5)
Stream-AD/MIDAS
Oct 2019 - Jan 2022
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Role in this project:
Data Scientist
Data ScientistContributions:70 commits, 3 PRs, 65 pushes in 2 years 3 months
Contributions summary:Siddharth contributed to the project by adding and modifying code related to anomaly detection. This included updates to `anom.cpp`, likely containing the core anomaly detection logic, and the addition of an `auc.py` script for evaluating model performance. The changes suggest an involvement in the model training and evaluation process, reflecting a data science focus.
intrusion-detectiontime-seriesreal-timestreamingddos-attacks
bhatiasiddharth/Google-BigTable
Dec 2015 - Dec 2019
SmallTable
Contributions:2 PRs, 4 pushes, 2 branches in 3 years 11 months
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