Investor @ Stellaris Venture Partners [AI/SaaS/Deeptech] | ex Lyft / ClickUp / Bloomberg
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Built and scaled multiple teams across various verticals at Lyft with 30 Engineers and 4 EMs. Responsible for some of the core Rider Products, and driving innovation across Lyft via Delivery & Rideshare Labs
Carnegie Mellon University
MS, Computational Biology
January 1, 2009 – January 1, 2011
RV College Of Engineering
B.E., Biotechnology
January 1, 2005 – January 1, 2009
Stellaris Venture Partners
Principal
November 1, 2024 – Present
Bengaluru, Karnataka, India · On-site
Shiftsmart
Director of Engineering
October 1, 2023 – November 1, 2024
New York City Metropolitan Area · Hybrid
ClickUp
Head of AI/ML
February 1, 2023 – October 1, 2023
Lyft
Senior Engineering Manager
July 1, 2019 – January 1, 2023
New York City Metropolitan Area
Lyft
Staff Machine Learning engineer
March 1, 2018 – June 1, 2019
New York City Metropolitan Area
Bloomberg LP
Senior Software Engineer - Machine Learning
June 1, 2015 – March 1, 2018
New York City Metropolitan Area
Bloomberg LP
Financial Software Developer - Search & Discoverability
February 1, 2011 – June 1, 2015
New York City Metropolitan Area
Biogen Idec
Summer Intern
May 1, 2010 – August 1, 2010
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning large tech companies (Lyft, Bloomberg LP) and venture capital (Stellaris Venture Partners), indicating adaptability to different organizational cultures. Their progression from individual contributor (Staff ML Engineer) to various leadership roles (Senior Engineering Manager, Head of AI/ML, Director of Engineering) shows ambition and growth. However, the target role of 'Data Analyst' is a significant departure from their recent senior leadership and AI/ML focus. While their technical foundation is strong, the motivation for this role change and alignment with a more individual contributor, analytical focus needs to be explored to assess cultural fit for a data analyst position.
Soft Skills & Operational Fit
The candidate's experience in leadership roles (Director of Engineering, Head of AI/ML, Senior Engineering Manager) indicates strong soft skills in team management, strategic planning, and cross-functional collaboration. The descriptions of scaling teams and leading multi-quarter initiatives suggest operational effectiveness and project delivery capabilities. However, the target role is 'Data Analyst', which is a significant shift from their recent leadership and ML engineering roles. While analytical skills are evident, the operational fit for a pure data analyst role, which typically involves less direct team leadership and more hands-on data manipulation and reporting, needs further validation.