Hina Jajoo

Software Engineer

Mountain View, California, United States12 yrs 5 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in optimizing AI training processes.
Led significant projects improving driver retention and earnings.
Strong advocate for team growth and inclusion in tech.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and cloud computing.

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Skills

Core Skills

Machine LearningAi InfrastructureBackend DevelopmentSoftware DevelopmentSystems Engineering

Other Skills

JaxPythonPyTorchTritonCUDAAuroraDBDynamodbRedisApache SparkC++CWeb ServicesAlgorithmsData StructuresProgramming

About

Technical leader with ~12 years of experience building modular, product-focused platforms that solve real user problems. I’m good at diving into complex systems and making them simpler by asking the right questions and understanding the “why.” I care deeply about growing my team and driving inclusion and equity in tech.

Experience

12 yrs 5 mos

Total Experience

2 yrs 11 mos

Average Tenure

8 mos

Current Experience

Google

Software Engineer

Sep 2025 – Present · 8 mos · San Francisco Bay Area

GPU/TPU model optimizations for GCP strategic customers

JaxMachine Learning

Lyft

Software Engineer

Sep 2019 – Jan 2024 · 4 yrs 4 mos · New York, New York · Hybrid

One of two Leads in a team of 20 engineers working on Driver Pay, involved in the rollout
of Upfront Pay for Drivers. Built a scalable platform that makes it easier to change Driver Pay Policies, increasing driver hours by 10% and driver retention by 24%.
Led a cross-functional team of 5 engineers, 1 PM, 2 Data Scientists, and a GTM team to increase Earning Opportunities for Lyft's High Value Drivers (HVDs), using Priority Mode.
Increased utilization of HVDs from 45% to 55%, increased avg hourly driver earnings by
$3.60, and increased profit per ride by 18c.
Led a team of 8 engineers to build and enhance Lyft’s Place Search solution. Created a
scalable pipeline to surface and create Missing Places and fix Places with incorrect
coordinates, thereby reducing turnaround time from several weeks to 2 days. Reduced
vendor costs by 70%.
Led a team of 6 engineers to build a solution that optimizes pickup and dropoff locations
for all Lyft Rides. Decreased Hike Distance by 10%, reduced wasted Driver time by an average of
2 mins, and decreased Post Arrival Cancels by 2%.
Mentor in Lyft’s apprenticeship program since its inception.