Oct 2023 – Nov 2024 · 1 yr 1 mo · New York City Metropolitan Area · Hybrid

• Core Product

Feb 2023 – Oct 2023 · 8 mos

Jul 2019 – Jan 2023 · 3 yrs 6 mos · New York City Metropolitan Area

• Rider Products
• ● Products - Spanned across 4 teams and 2 continents, responsible for the core Rider Product -
• Airports/Travel, Priority Pickup, Shared Rides, Wait & Save, Scheduled Rides along with critical
• partnerships with Disney, Delta, Mastercard. Scaled team from 5 to 25 over 12 mos across US and EU
• ● Post-Pandemic Products - Led multiple multi-team multi-quarter initiatives to relaunch a new Shared
• Rides product and rebuild the Airports team and product post-COVID. Airports/Travel now contribute
• double digits share of revenue and Shared Rides is stable and financially viable in markets
• Delivery
• ● Incubated and led engineering for an emerging Line-of-Business for Lyft around white-label Delivery.
• Contributed to strategy and roadmap; build Engineering team from scratch
• ● Execution - Led team to improve e2e quality by +20pp, increased volume by 10x. Worked with
• product and cross functional teams to deliver on products across the board - from Driver Pay to Driver
• XP, Marketplace improvements, Partner products to engineering & product reliability
• Rideshare Labs
• ● Rideshare Labs - Incubated and built out several high-impact products across Rideshare - improving
• experimentation technologies - online parameter turning, causal inference improving shared rides
• efficiency, improving driver utilization & marketplace productivity
• ● Priority Mode - Led a program of scientists & engineers across multiple teams to deliver a redesign of
• the Rideshare product to create Priority Mode for Drivers. This created a potential of >$200M improved
• profit and increased Marketplace efficiency for Lyft

Mar 2018 – Jun 2019 · 1 yr 3 mos · New York City Metropolitan Area

• ● Tolls Modeling - Tech led and built a new Tolls Estimation framework when calculating upfront Fare
• via a Neural Networks. Improved overall metrics leading to >$10M in improved financials
• ● Price Sensitivity Modeling - Built a Neural Network-based system to estimate the sensitivity to
• change in price in real-time. This is one of the core components of the Pricing framework at Lyft

Jun 2015 – Mar 2018 · 2 yrs 9 mos · Greater New York City Area

• Work on Machine Learning products around Recommendation Systems & Usage Modeling. Key projects include:
• Recommendation System products integrated into the Bloomberg Terminal leveraging Matrix Factorization techniques
• Data pipeline using Spark & MapReduce to expose aggregated & anonymized data for advanced analytics and ML models
• Workflow recommendation on the Terminal after reading news stories
• Entity2Vec for financial entities such as Companies, People, Industries, etc.

Feb 2011 – Jun 2015 · 4 yrs 4 mos · Greater New York City Area

• Worked as a full-stack developer in the Bloomberg Search Engine Team. Key projects include:
• Context-sensitive spell correction pipeline for the Search engine
• Built & maintained Search Engine backend using Apache SOLR
• Worked on 'Related Searches', Entity Discovery modules & query reformulation

May 2010 – Aug 2010 · 3 mos

• Developed a Machine Learning tool to detect important regions in novel molecules curated by scientists