Oct 2023 – May 2024 · 7 mos

• Truera was acquired by Snowflake: https://lnkd.in/dfFsnNSZ
• Responsible for the discovery, design and delivery of entire ML/AI Observability Platform at TruEra f
• first version for GenAI and Predictive ML
• Design and scope the V0 for an enterprise LLM Observability Platform at TruEra

Nov 2021 – Oct 2023 · 1 yr 11 mos

• Responsible for all of the user facing product surface area for TruEra's Observability Platform
• Own the roadmap and strategy for Truera's Diagnostics product
• Lead product discovery, finalizing requirements for key features in Diagnostics
• Work with Design, Engineering and GTM to not only ship product but help with marketing and adoption
• Truera provides the first Model Intelligence platform, to help enterprises analyze machine learning, improve model quality and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, Truera’s platform helps eliminate the black box surrounding widely used AI and ML technologies. This visibility leads to higher quality, explainable models that achieve measurable business results, address unfair bias, and ensure governance and compliance. Go to https://truera.com/ for more information.

Apr 2021 – Oct 2021 · 6 mos

• Own the strategy for model publishing capabilities in Domino
• Lead customer research to understand customer problems deeply and define use-cases to solve in model publishing
• Interface with design and early adopters to iterate over UI/UX to define potential solutions
• Write shovel ready Product Requirements for Engineering
• Support post release activities such as sales enablement, internal training, marketing documents
• Domino Data Lab provides an open enterprise data science platform to help companies run their business on models. We help our customers embrace model management, to rapidly deliver high-impact models, and make data science a competitive advantage. For individual data scientists, Domino provides turnkey environment management, scalable compute resources to run multiple experiments in parallel, and easy ways to publish results or deploy models for others. For teams, Domino centralizes work in one place, making it shareable, reproducible, and reusable. Model-driven companies like Allstate, Bristol-Myers Squibb, Dell, and Bayer use Domino to accelerate breakthrough research, increase collaboration, and more easily operationalize predictive models. Founded in 2013 and based in San Francisco, Domino is backed by Sequoia Capital, Coatue, Bloomberg Beta, and Zetta Venture Partners.

Sep 2018 – Apr 2021 · 2 yrs 7 mos

Jun 2018 – Aug 2018 · 2 mos · Bengaluru, Karnataka, India

• Company was acquired by Domino Data Lab
• Working on ML based solutions for a crypto asset data aggregator company on,
• Crypto Asset Ranking
• Real Time Streaming analytics

Jan 2016 – Jun 2018 · 2 yrs 5 mos

• Lead a team to build foundational notebooks on analytics, anomaly detection and mathematical modeling to standardize the output of analytics across delivery teams and improve their quality infused with industry standard best practices
• Lead a research group of 10 people to develop computer vision solutions for retail clients, specifically object detection and tracking in video using Deep Learning algorithms
• Responsible for a team which developed a platform to serve computer vision algorithms as a service
• Responsible for designing and architecting multiple solutions/workflows using the BPMN standards to optimize and automate processes in Mu Sigma
• Currently responsible for two groups,
• o One (8) building an internal product for Mu Sigma to deploy predictive algorithms in production
• o Second (4) a research group exploring Reinforcement Learning algorithms for Multi-Touch Attribution and Sequence predictions

Jan 2015 – Dec 2016 · 1 yr 11 mos

• Responsible for a team of 5 to build and improve a trading platform to test real-time time series models on the New York Stock Exchange
• The team worked towards researching different inter-disciplinary methods to analyze stock market data and make trading decisions like, Computational Geometry, Stochastic Processes, Machine Learning & Graph theory

Jan 2013 – Dec 2014 · 1 yr 11 mos

• Built prototypes on internal platforms to showcase the capabilities of products being built in the organization
• Mentored a team of 2-3 members to build applications to be showcased in an experience lab used for client presentations
• Created internal packages in R relevant for the use-cases at hand which helped in re-using components across teams

Nov 2011 – Dec 2012 · 1 yr 1 mo

• Improved marketing mix models by applying stochastic optimization to choose the dependent variables
• Researched multiple methods to calculate attribution in a marketing mix model
• Implemented heuristic optimization algorithms to run on GPU using CUDA framework.
• Promoted to Senior Research Analyst after 14 months