Leading engineering and data science teams, building semantic search & GenAI-based service resolution platform that empowers teams to diagnose & resolve service issues in seconds.

🤖Using AI to take the hassle out of planning!

Led & scaled📈Data Analytics + 🌩️Cloud Infra teams through 5X company growth; responsible for informing data-driven decision-making cross-org, & maintaining secure, resilient, & efficient cloud platform for global services📊Data Engineering & Analytics: - Drove data platform (Lakehouse, pipelines, visualization, analytics, data science) architecture and implementation. - Evangelized, democratized, and enabled self-service data access & governance across CP.- Partnered cross-functionally on key analytics solutions e.g., station demand forecasting, a recommendation system for station placement [Sales], analytics for station faults [Eng], station reachability [Customer Support], uptime + utilization [Operations], KPIs for, end-user feature adoption [Product], driver segmentation [Marketing]🌩️Cloud Infrastructure: - Grew Infra team (DevOps, SREs) to support all CP services globally (mobile + web apps, in-car navigation, station IoT management); oversaw infra expansion to 4 regions & 400% growth in station & driver count- Spearheaded modernization efforts (k8s, infra-as-code, observability), & partnered with 10+ dev teams on containerization, CI/CD, on-call initiatives, improving service uptime, scalability, & ship velocity- Worked closely with infosec & IT teams on IPO readiness, security (shift-left, bug bounty, DDoS, Bot protection, vulnerability mgmt), compliance (GDPR, PCI, SOC 2 Type 2, ISO 27001), & operational excellence initiatives (DR, SSO, access, cost optimization)

🌩️Led architecture, implementation & migration of all backend infrastructure to public cloud to enable international growth, high availability, scale & agility

📊 Built BI platform from scratch to guide business decisions, improve efficiency & grow ChargePoint network⚡🚗Designed, re-engineered, and implemented distributed systems for managing a fast-growing electric vehicle charging network

😇💰Angel investor, advisor & mentor to several startups.

Led Flickr backend team on several efforts:💰Led development of key monetization initiatives resulting in Flickr's revenue growth by ~ 20%🤖Designed and implemented an ML personalization engine, using collaborative filtering algorithms to recommend groups, photos & photographers based on users' interests, preferences, and implicit signals📈 Developed a system for surfacing top & trending content on Flickr in real-time using Hadoop & Storm🥇Served as the backend tech lead, defining roadmap & quarterly goals, leading sprint planning & coaching team members

📊🧪Drove data science behind tracking metrics & performance trends, enabling focus on specific efforts/improvements to antispam systems; collaborated cross-functionally to drive data-driven & forward-thinking strategies.

👨‍🔬Conducted research & developed innovative ML algorithms for spam filtering in Outlook.com, Exchange & Skype, achieving a 2x improvement in spam detection rates with low false positives📧 Developed large-scale data mining and processing systems for training ML models and crowdsourcing labels for priority inbox and advanced email classification based on email content, sender reputation, social graph, and communication history🕸️Built web crawlers to identify spammer infra and compromised accounts, improving overall platform security & trust

🔬Developed texture analysis techniques for ovarian cancer detection using confocal microendoscopy🖼️Built a real-time mosaicing scheme for stitching overlapping images to improve the field of view, to assist physicians in identifying cancerous tissues.📷Implemented classifiers for detecting out-of-focus images.

📸Added support for low-light image capture & high-res video capture on camera phones.📱Built an abstraction layer for imaging sensors in mobile phones.🐞Automated issue-tracking workflow for efficiency. This proof-of-concept developed intoa system that was utilized company-wide to improve agility and customer satisfaction.

🉐Researched methods for Indic-script handwriting recognition for form-filling applications. 📝Prototyped gesture recognition engine for a novel device for Indic script entry called Gesture KeyBoard (GKB).🎓Work was published at International Workshop on Frontiers in Handwriting Recognition (IWFHR '06)

🖥️Developed a Hardware Abstraction Layer (HAL) for microcontrollers used in ovens at McDonalds.🎖️Received best intern certificate for implementing a framework for automated unit testing.