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Machine Learning/Artificial Intelligence
I am a machine learning engineer based in San Francisco, focused on research-driven solutions that translate into scalable product impact. My expertise lies in building end-to-end large-scale machine learning systems for biomedical question answering, consumer finance, healthcare, and marketing, resulting in measurable business outcomes. I have led initiatives spanning large-scale statistical modeling, distributed model training, low-latency model serving infrastructure, interpretability, and revenue optimization. My work bridges foundational ML research and real-world deployment at scale.
Carnegie Mellon University
Masters, School of Computer Science
N/A – Present
National Institute of Technology Karnataka
B.Tech, Computer Science & Engineering
N/A – Present
Adyen
Staff AI Research Engineer
December 1, 2025 – Present
San Francisco, California, United States · On-site
Attentive
Staff Machine Learning Engineer
August 1, 2024 – November 1, 2025
San Francisco, California, United States · On-site
Lambent Logic
Co-Founder, CTO
May 1, 2023 – August 1, 2024
San Francisco Bay Area · Hybrid
Affirm, Inc.
Tech Lead Manager, Computational Finance
July 1, 2020 – April 1, 2023
San Francisco Bay Area
Affirm, Inc.
Staff Software Engineer, Machine Learning
September 1, 2018 – July 1, 2020
San Francisco Bay Area
Yelp
Machine Learning Engineer
February 1, 2016 – August 1, 2018
San Francisco Bay Area
Goldman Sachs
Software Engineer
June 1, 2012 – June 1, 2014
Bangalore
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations (Goldman Sachs, Yelp, Affirm) to a startup they co-founded (Lambent Logic). This breadth of experience suggests adaptability. Their roles consistently involve leading and building ML systems, indicating a strong alignment with innovation and impact-driven cultures. The entrepreneurial experience also points to a proactive and ownership-oriented mindset. However, the lack of specific project details makes it difficult to fully assess collaboration style or specific cultural contributions beyond leadership.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder/CTO and Tech Lead Manager suggests strong leadership, strategic thinking, and project management skills. Their involvement in securing funding and addressing revenue leakage indicates business acumen and problem-solving capabilities. The description of 'scaling machine learning systems and managing talent' at Affirm further supports operational fit for senior roles.