Siddharth Bhatia is a seasoned technology founder and AI leader, currently steering Puch AI as Co-Founder and CEO and co-founding TurboML to scale practical AI products. He blends deep research training—from a PhD in Computer Science at the National University of Singapore to research internships at Google, AWS, Microsoft Research, the University of Cambridge, IISc, ISRO IIRS, and IIIT Delhi—with hands-on product leadership in two startups. An active open-source contributor, he helped build Stream-AD/MIDAS for real-time anomaly detection on dynamic graphs, including core anomaly detection code and model evaluation tooling. His work targets security- and reliability-critical problems like DoS/DDoS intrusion, fraud, and fake ratings, aligning cutting-edge ML with real-world resilience. Based in Palo Alto, he sits at the crossroads of the research and Bay Area startup ecosystem, marrying entrepreneurial grit with technical depth.
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
Contributions: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.
Contributions:2 PRs, 4 pushes, 2 branches in 3 years 11 months
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