Jai Chopra
Verified Expert in Product Management
Product Manager
Sydney, New South Wales, Australia
Toptal member since October 7, 2022
Jai is a technical product manager with eight years of experience working in artificial intelligence, machine learning, web, and mobile across enterprise and consumer markets. He was formerly head of product for data, AI/ML, and simulation platforms at Cruise, a self-driving car company, leading company-wide goals to improve organizational productivity. Throughout his career, Jai also held a consulting role at Delloite and founded a YCombinator-backed startup.
Project Highlights
Expertise
- Artificial Intelligence (AI)
- Big Data
- Cloud Infrastructure
- Data Analytics
- Machine Learning
- Product Management
- Strategy
- User Requirements
Work Experience
Product Manager
Cruise
- Played a key role as a founding PM for Cruise’s ML platform, improved AI development productivity by 15 times in less than two years, and defined the strategy to save $XXm in costs.
- Spearheaded a team of four senior PMs supporting 150+ engineers.
- Led an infrastructure strategy to enable perception and prediction ML systems to continuously learn from real-world interactions, which was a core contributor to an eightfold improvement in ML system metrics in less than two years.
- Launched an end-to-end ML tooling ecosystem and scaled systems to ingest daily over 1PB of real-world and sim data and execute over 10,000 unique weekly experiments, covering data processing, training infrastructure, inference, and optimization.
- Defined and aligned executives on top-level OKRs and KPIs and handled over 90 manager engagement ratings from reports.
CTO
Kent & Lime
- Hired and managed a team of five after joining the company as the first engineering hire.
- Helped scale the business, an online menswear styling service startup, to 500% revenue growth, placing 101st on the Deloitte Asia-Pacific 500 fastest growing companies list.
- Designed the strategy and implemented the machine learning pipeline architecture, which increased stylist efficiency by 600% and reduced the company's core bottleneck for revenue growth.
- Led the strategy, build, and execution of back-end and front-end web applications. Prioritized the backlog and planned sprints that allowed the company to service 40 times the amount of orders a week.
- Created a methodology for A/B testing ML performance, increasing revenue by 3%.
- Prototyped and launched onboarding workflows increasing conversion by 3%. Onboarded more than 50,000 customers.
Consultant
Deloitte
- Developed a strategy for Australia’s largest Telco to leverage data-driven decision-making and prototyped a data visualization app using Tableau reports that allowed management to oversee metrics across hundreds of concurrent projects.
- Created the strategy and launched an incident management system for Australia's largest Telco, reducing the response time for critical delays and issues between projects.
- Designed a strategy to upgrade a global oil supplier's internal CMS and drafted briefs to present to senior leadership.
Founder and CTO
Edisse
- Funded a startup with venture capital financing. It produces wearable technology for the elderly.
- Hired and led a team of five from product idea inception to market launch.
- Developed industry partnerships with AI-firm Data61, one of which was with an Australian newspaper: https://goo.gl/U2Ef8X.
- Ran three successful trials with more than 50 users and converted 75% of trial users into paid customers, with 9/10 users recommending the product.
- Led machine learning research and development projects and filed a provisional patent: A wearable device, server, and system for fall detection.
Project History
Leading Self-driving Car Company | AI/ML Infrastructure for Continuous Learning
https://getcruise.com/Led infrastructure strategy to enable perception and prediction ML systems to continuously learn from real-world interactions, which was a core contributor to an eightfold improvement in ML system metrics in less than two years.
Recommendation System for Automated Online Styling Service
Developed a novel, collaborative, filtering-based recommendation system to reduce the likelihood of a return by 4% and provide personalized recommendations based on outfits rather than individual products.
Simulation Framework to Generate Wearable Technology Synthetic Data for ML Training
Developed a novel simulation framework to mimic real-life physics patterns and interactions of falls and help train a lightweight model for fall detection. This framework was created using an open-source physics engine.
Education
Master's Degree in Computer Science
University of New South Wales - Sydney, Australia
Bachelor's Degree in Computer Science, Economics
University of Sydney - Sydney, Australia
Skills
Tools
Slack, Zoom, Jira
Other
Strategy, Machine Learning, Artificial Intelligence (AI), Product Management, User Requirements, Cloud Infrastructure, Big Data, Data Analytics, Web, User Experience (UX), Infrastructure, Mobile, Product Requirements Documentation (PRD), Web Applications, Ruby on Rails (RoR), React, Databases, Reporting, Wearables, Computer Science, Economics, Computer Vision
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