Kushal Chakrabarti Email & Phone Number

California, United States

San Francisco, California, US

Responsible for AI/ML, pricing & growth at Opendoor: end-to-end pricing algorithms, AI/ML research and strategy, platform engineering, growth, analytics, human-in-the-loop tools, product management, and more.

San Francisco, California, US

Solving some of the hardest problems in AI, machine learning, operations research and econometrics you've ever seen.Worried you're wasting that Ph.D. building black-box classifiers to get people buy things they didn't need in the first place? Come work with me and solve trillion-dollar AI and ML problems that matter to a hundred million everyday.

San Francisco, California, US

Advised CXOs through key organizational challenges, especially those involving data science and engineering. Operated as a fractional senior executive, validating technical data strategy, proving new lines of business and building/upleveling end-to-end data teams.

Palo Alto, California, US

Advised 10+ CXOs through business and technical challenges involving AI/ML research, data & engineering.

Orlando, Florida, US

Advised 10+ CXOs through business and technical challenges involving AI/ML research, data & engineering.

• Founded and led VC-backed AI startup that algorithmically guaranteed jobs for everyday Americans. Personal highlights:
• Recruited and managed team of top 5% (e.g. Facebook principal engineers, Google research scientists) full-stack engineers, data scientists & analysts.
• Led experiment-driven data science/product methodology, averaging 26.3 experiments per month with a 49% success rate, resulting in compounded gains of +891% purchase conversion and +231% D14/D30 retention over the last.
• Prototyped, developed and productionized our first terabyte-scale, low-latency resume and job parsers (v2 89% F1) and drove massively viral “Science of the Job Search” data blog series (1M+ readers, 53% virality rate).

San Francisco, CA, US

Advised 10+ CXOs through business and technical challenges involving AI/ML research, data & engineering.

Palo Alto, CA, US

Advised 10+ CXOs through business and technical challenges involving AI/ML research, data & engineering.

Seattle, WA, US

After 5 years of ~300% year-over-year growth (~$25MM annual run rate), dozens of awards and world press (see below), and providing 1,000+ student loans per month across 17 countries, Vittana merged operations with Kiva in 2014. Check out Vittana Loans on Kiva:https://www.kiva.org/lend/education

Seattle, WA, US

Vittana was a Google-backed fintech marketplace that provided student micro-loans in developing countries. It pioneered the Vittana Loan — a $750 student micro-loan that can triple a girl's earning power. An award-winning organization, Vittana operated in 17 countries, helping finance 1,000+ student micro-loans every month.Vittana's impact was frequently.

Seattle, WA, US

• Led end-to-end product, research and engineering and operations for Personalization Platform, including Amazon's flagship $3B+ personalized recommendations engine. My team consistently delivered double-digit gains in.
• Led architecture and design of v2.0 of the recommendations engine (used for 7+ years), fixing second-system design failures and increasing operational performance by 700%.
• Recruited and mentored 50+ top-caliber, large-scale machine learning scientists and distributed systems engineers across the company, several of whom have gone onto leadership roles at top companies, including Netflix.
• Led technical and product strategy and helped build rapid prototyping culture, which resulted in 25+ novel prototypes and 20 patents, launches, and adoptions by other teams and A/B-tested gains in key metrics.
• Owned end-to-end engineering and operations (my team carried 24/7 pagers) for three petabyte-scale, tier-1 data platform (100ms tp99.9 SLAs @ 100K TPS) and two tier-2 ML systems.
• Presented several company-/division-wide talks on algorithmic innovation and innovation-enabling architecture, including as the youngest-ever keynote speaker at the company-wide “Principal Engineers of Amazon” series.

Seattle, WA, US

Berkeley, CA, US

Specialized in machine learning and distributed systems research with two groups, focusing on large-scale, sparse-data Bayesian models, Monte Carlo methods and NLP. Completed all available graduate-level coursework in advanced systems, information theory and machine learning offered at UC Berkeley at the time. Published 4 peer-reviewed papers in top-tier.

B.S., Electrical Engineering & Computer Science

B.A., Molecular & Cell Biology