Feb 2022 – Aug 2025 · 3 yrs 6 mos · San Francisco Bay Area

• Engineering lead on backend, experimentation, and infrastructure initiatives for a high-traffic e-commerce platform serving 500,000+ daily users and generating millions in daily revenue. Combined strong technical delivery with systems thinking, cross-functional collaboration, and a proactive lens on tooling and internal scale. Partnered with Product, Data, and Engineering leadership to shape platform direction and process maturity.
• Select Initiatives :
• Led backend replatforming to enable headless CMS architecture
• Migrated key Django endpoints to Django REST Framework to support decoupled content delivery via Builder.io. Drove a 25% system throughput boost and 30% faster server response times, while unblocking design and marketing teams to ship independently.
• Built and maintained robust AWS infrastructure and test environments
• Developed mirrored staging and QA environments for safer deployments and automated regression testing. Monitored production via AWS, Splunk, Atatus, and WebPageTest dashboards, reducing on-call incidents by 40%.
• Drove company-wide experimentation velocity with new A/B testing framework
• Developed a reusable testing framework via Google Optimize, scaling test volume from 1 to 6–10 per sprint. Later led VWO adoption and trained Product to configure and launch tests end-to-end - significantly reducing engineering dependency.
• Evaluated and implemented internal platforms as part of AI & Automation Committee
• Served on internal AI Committee for Engineering Excellence. Researched, tested, and built POCs with tools like Retool, Gong, and early LLM platforms. Reported directly to Director of Engineering with strategic recommendations that shaped vendor selection and integration roadmap for 2024–2025.
• Shipped 50+ critical features across core e-commerce flows
• Delivered major user-facing features across PLPs, PDPs, checkout, and wishlist. Prioritized clean architecture and long-term maintainability to support millions in daily sales.

Mar 2021 – Feb 2022 · 11 mos · San Diego Metropolitan Area

• Clients:
• 1)Kilo App
• https://usekilo.com/
• As the backend lead, I was responsible for participating in the overall application life cycle and implementing RESTful APIs using Django.
• 1) Using Django Rest Framework, designed, implemented and maintained 31+ endpoints of payments, authentication and scheduling while implementing 15+ django model tests using Faker and Factory Boy libraries to ensure API functionality.
• 2) Performed 3 mission critical data model updates, improving overall code quality and maintainability through 10k lines of code originally > consolidated down to 8k lines and a reduction in API load times by 36% down to 800ms.
• 3) Integrated Stripe Payments and Connect into the app thereby enabling fast, reliable and secure payment processing from anywhere at any time:
• o Leveraged dj-stripe library to create Stripe Django models and sync models to PostgreSQL database while adding customer credit cards through the checkout process using stripe elements library.
• o Built endpoints to handle creating stripe customers, stripe products, subscriptions and attaching customers to them, and handling subscription price overrides/discounts on a per customer basis.
• o Built a generator script that continuously populates Stripe with test transactions (to be used to prototype and test additional app features) as if actual operations were taking place.
• 2)Jason Humphrey Coaching (acquired by Chegg Inc)
• I was a key contributor in getting the platform enterprise-ready through my work in UI design, prototyping, testing, sprint planning, pull request reviews and software development development for 25+ features.
• 1) Translated 50+ designs/wireframes into high-quality application interface code via JavaScript following React.js workflows.
• 2) Integrated Algolia Search into the app thereby maximizing the speed of searching for job listings by 10x, while solving the challenge of relevance tuning through AI.

Sep 2018 – Jan 2021 · 2 yrs 4 mos · New York City Metropolitan Area

• Acquired by DoubleVerify
• Served as the internal expert on Rockerbox’s marketing attribution platform - acting as the bridge between customer needs, product requirements, and engineering delivery. Owned the full customer onboarding and technical integration lifecycle for top-tier clients, advised on platform customization, and translated field insights directly into roadmap influence and integration design.
• Highlights:
• Trusted technical advisor for Rockerbox’s most strategic accounts
• Led end-to-end onboarding and implementation for 15+ enterprise and high-growth clients - including Blue Apron, Wall Street Journal, John Hardy, Oura Ring, and others. Scoped technical requirements, advised on data model customization, and ensured long-term customer success through proactive collaboration and support.
• Drove the development and integration of high-priority external tools
• Collected client feedback and translated business needs into detailed technical specs for two major integrations (Shopify and The Trade Desk). Collaborated with Engineering and Product to launch both integrations and developed internal processes to scale future partner onboarding.
• Partnered with Engineering to lead Alpha/Beta feature rollouts
• Supported technical launch planning and customer onboarding for pre-release features - ensuring early customers were successful, collecting real-time feedback, and delivering insights back to Engineering and Product teams to guide iteration.
• Amplified customer feedback into actionable product strategy
• Centralized and systematized the collection of technical feedback from users, influencing platform roadmap decisions and prioritization. Helped create a tighter feedback loop between Customer Success, Sales, and Engineering that reduced churn risk and accelerated value realization for new customers.

Dec 2017 – Sep 2018 · 9 mos · New York City Metropolitan Area

• Responsible for optimizing clients’ digital marketing campaigns towards specified KPIs using data analysis.
• 1) Owned a programmatic media budget of 2.5+ million dollars; successfully delivered the budget in full while surpassing KPI goals and receiving incremental budgets (10 - 50% up from the previous quarter) in 2018 and 2019.
• 2) Delivered 4 automation projects in 1) forecasting missing spend via an alert, 2) highlighting sources of data discrepancy from multiple layers of internal and external reports, 3) A/B testing bidding strategies for a wide array of industries, ad exchanges and keywords and 4) automatic blacklisting of low viewability domains.
• 3) Managed and improved an automated optimizations pipeline and internal data reporting system.
• 4) Automated repetitive tasks (e.g adding/deleting domains from client blacklist) in Juypter Notebooks using AppNexus API and documented tools in the company’s internal wiki.

Jun 2017 – Nov 2017 · 5 mos · New York City Metropolitan Area

• Performed advanced data analytics to optimally match leads and sales agents, increasing sales yields for top insurance brands including Aetna, AIG, MassMutual, Medicare Advantage, Cigna and Mutual of Omaha.
• 1) Developed Agent Coaching Algorithm
• o Designed to automatically process several weeks’ worth of an agent’s sales data and highlight potential/high leverage areas of improvement.
• o Resulted in sales managers spending ~70% less time (from 7 mins per agent down to 2 mins) on building customized sales coaching plans.
• 2) Managed Agent Staffing for AIG, Medicare Advantage and MassMutual programs.
• o Applied profitability calculations to prioritize top performing agents and enable routing of client leads for maximum conversion impact.
• o Used predictive modelling to match historical call volume data to daily media spend/lead budget and thus create staffing grids that predict call volume at any point during the day with 85% accuracy.
• o Boosted overall sales per hour metrics from 0.15-0.25 range to 0.35-0.50 for all 3 programs through creation of optimal agent rankings and accurate staffing grids.
• 3) Programmed Agent Performance Scorecards using VBA (Visual Basic for Applications)
• o Designed to quantitatively track an agent’s ability to optimize an offer based on lead eligibility and responsiveness.
• o Appended relevant data and scoring at the moment of contact to qualify each lead prospect in real-time and maximize sales productivity.

Jun 2016 – Aug 2016 · 2 mos

• Supported the Head of Performance Improvement on a consultation project for Hindustan Aeronautics Limited (HAL) where we assessed the profitability of buying land for maintenance repair operations (MRO) purposes.
• o Analyzed industry reports to provide pertinent research statistics to senior members of the due diligence team.
• o Conducted industry research on the Private Jet market in India through the analysis of real estate acquisition trends in London made by high net-worth individuals.