Jan 2024 – Jul 2025 · 1 yr 6 mos · Singapore, Singapore

• Designed and architected a fully automated trading system running our proprietary strategies, from data ingestion and pre-processing to signal generation and trade execution.
• Built scalable data ingestion and storage pipelines by integrating with market data providers via REST APIs, using Apache Kafka for streaming updates across micro-services, and storing the data in TimescaleDB for efficient backtesting.
• Developed the core portfolio engine in Python, using advanced proprietary algorithms, AI and ML to identify hidden alpha signals, calculate asset weights and generate trades, and leveraged the broker’s APIs for seamless trade execution
• Leveraged Large Language Models (LLMs) for natural language analysis of news feeds, economic reports, corporate filings, analyst calls and social media sentiment, enriching our signal-generation process with timely macro insights and driving more informed trading decisions.
• Deployed the entire infrastructure on AWS, leveraging Docker for containerization and Kubernetes for consistent deployments and high availability, combined with Kafka for reliable, scalable service-to-service communication.
• Implemented CI/CD pipelines using GitHub Actions to automate testing, integration, and deployment of the trading platform’s codebase.
• Developed a real-time monitoring and alert system using Prometheus/Grafana for system health and strategies’ performance metrics (e.g. P&L and margin usage), and EFK (ElasticSearch, Fluentd, Kibana) for centralized log management and analytics.
• Created user-friendly, web-based dashboards using Django and React, providing interactive visualization of positions, historical performance, risk exposures, and system health.

Aug 2022 – Jan 2024 · 1 yr 5 mos · San Francisco Bay Area

• AnyRoad is a series-B startup with $66M in funding from top-tier VC firms such as Andreessen Horowitz, BlackRock and Rally Ventures.
• Led the strategy and roadmap of AnyRoad’s experiential marketing platform, driving customer engagement for brands by enabling seamless guest registration, booking, and data capture at brand homes and events.
• Pioneered the ideation and led development of product features leveraging large language models (LLMs) and machine learning (ML) to transform raw customer data into actionable insights, directly supporting brands' strategic decision-making.
• Led the development and launch of an ID scanning product, streamlining visitor onboarding and enabling real-time data collection across multiple brand touchpoints. Monetized as an add-on to the core product, this initiative unlocked a new revenue stream and expanded the company’s product portfolio.
• Managed a diverse iOS apps portfolio, enhancing user experience through robust, mobile-first guest interactions, with applications integrated to collect and centralize customer data.
• Scaled the engineering team 4x within 18 months, hiring and onboarding top talent while maintaining a high bar for excellence.
• Implemented agile processes and CI/CD pipelines that cut the time-to-market for new features by half. By automating testing and deployment, decreased deployment errors by 80% and accelerated feature delivery, allowing the team to respond faster to customer needs.
• Drove innovation by organizing quarterly hackathons and R&D spikes involving 30+ engineers, product managers and designers. From these initiatives, 3 proof-of-concept prototypes matured into full-fledged products.

Aug 2020 – Aug 2022 · 2 yrs

• RingCentral Video is RingCentral’s hyper-growth video meetings solution
• Driving vision, strategy and roadmap for RingCentral Video’s mobile and tablet apps, and conference rooms solutions; communicating strategy to executive / leadership team
• Leading teams of product managers, user researchers, IxD / VxD designers, and engineers to ship innovative and industry-first features at a fast pace, pushing the boundaries of what’s possible in mobile apps and conference rooms
• Leading development of the Webinar product with TAM worth billions of dollars; conducting customer interviews to deeply understand their needs to inform product direction
• Identifying upcoming trends in the way people would work in a post-COVID world to anticipate future user needs, and ideate new products and features meeting those needs
• Leading features powered by computer vision, natural language processing and understanding, to differentiate RingCentral Video’s mobile and conference rooms products.
• Defining success metrics and tracking events; retrieving and visualizing data in Mixpanel to make data-driven decisions
• Partnering with Marketing, Legal and Documentation teams to define GTM strategy and setup beta programs for new product launches
• Defining jobs-to-be-done, product requirements, user stories, acceptance criteria, and organizing the product roadmap in Aha / JIRA
• Driving quarterly planning and roadmap prioritization
• Conducting UAT prior to launch

Jul 2018 – Jun 2020 · 1 yr 11 mos · San Francisco, California

• Led the product vision, strategy and roadmap of the Scalable & Bookable Supply Platform making Groupon’s $1B+ marketplace of experiences and things-to-do inventory bookable and scalable.
• Scaled inventory by 40% by leading the initiative to build a REST API based self-serve developer platform that allows 3rd party partners to integrate with Groupon.
• Drove 3.4M bookings over one year by leading the design, agile development and launch of booking experience.
• Increased conversion by 12% by launching multiple A/B experiments to test new features for optimizing the booking funnel, browse and search experience across iOS, Android and web.

Jun 2017 – Aug 2017 · 2 mos · San Francisco Bay Area

• Designed and managed a new product feature (buyable links), which allows users to buy products directly from emails and social media using Apple and Android Pay, thus reducing friction and driving ~2x conversion.
• Developed specification and expansion roadmap for the product “MoovCheckout Instant”, including key use cases, mockups and growth opportunities.
• Conducted and led regular meetings with the customers to understand their requirements, while leading the development and launch of MVP.
• Led a team of 5 engineers and a designer to deliver the product within strict timeline.

Jan 2017 – Jan 2017 · 0 mo · Stanford, California

Jul 2013 – Aug 2016 · 3 yrs 1 mo

• Led and drove the development of product features for big enterprise customers like NASA and US Courts.
• Revitalized a legacy product used for conversion of documents to PDFs by adding new features and replacing the underlying conversion engine, thus making conversions 50% faster with better quality PDFs.
• Proposed and built feature to simplify the creation of complex workflows (80% reduction in average time spent) for automatically converting millions of documents to various file formats (such as converting images to searchable PDFs), by understanding customers’ needs and pain points.