Headline

Senior Product Manager | AI-native & 0→1 consumer products | LLM features, evals, agentic workflows | ex-Codecademy, ex-Byju’s

About

Senior Product Manager, 8 years, building AI-native and 0→1 consumer products. At Codecademy I owned AI product end to end across Labs, Mobile and Learner Experience. I scaled the AI-assisted learning suite from 0 to a third of monthly active learners in six months at 70% AI assisted sessions and 85% satisfaction, making AI a top-5 engagement feature. As Senior PM I led Codecademy 2.0, a 0→1 build-and-learn product: a Socratic AI chat built to withhold answers so the learning sticks, a code IDE with live app preview, and an inductive teaching engine generating personalized curriculum and exercises, resulting in a 3x free-signup rate on the new product. The work I care about: prompt and context engineering, eval design, human-AI interaction loops, inference cost and model trade-offs, RAG and personalization, agentic workflows. My working view is that the model is rented and the eval loop is what compounds. Before Codecademy: Led engagement and retention on the Disney-BYJU'S Early Learn K3 app, and launched three 0→1 driver-partner products at Oye! Rickshaw. I started as a software engineer, which is where the systems instinct comes from. Based in Bengaluru. Open to Senior and Lead PM roles owning AI-native product surfaces.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

notebooklm

perplexity

Work experience

Senior Product Manager at Codecademy, Dec 2025 - Present · 9 mos, Led Codecademy 2.0, reframing the platform from courses-first to build-first for the AI era. Shipped a 0→1 AI-native build-and-learn product built on three experiences: - A Socratic AI chat designed to withhold answers, trading immediate satisfaction for retained learning - A code IDE with live app preview, turning prompts into working apps in-browser - An AI inductive teaching engine generating personalized curriculum and interactive exercises Result: 3x the traditional free-signup rate on the new product, with steady free-to-paid conversion.

Product Manager at Codecademy, Aug 2023 - Nov 2025 · 2 yrs 4 mos, Led AI innovation across the Labs, Mobile and Learner Experience pods, owning AI-native products and mobile apps end to end. Promoted to Senior PM on a Superior Performance rating. - Scaled the AI-assisted learning suite from 0 to 120K+ MAU in six months at 85% satisfaction, making AI a top-5 engagement feature - Consolidated three contextual assistants (chat, code and error explanation, hints) into one surface, retiring standalone features I had shipped myself: 55% daily adoption, 70% AI-assisted sessions - Launched fully AI-generated custom practice projects, personalized to learner goals and skills, at 85% satisfaction. Set the foundation for personalized AI-generated content - Opened a new mobile revenue channel with in-app purchases across iOS and Android on a 50K MAU base

Product Manager at BYJU'S, Jun 2022 - Aug 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India, Owned the engagement charter for the Disney·BYJU'S Early Learn K3 app (150K paying customers): early adoption, retention, lower refunds. - Study Plan: auto-generated personalized learning paths from time of purchase in the academic year and available course, lifting lesson completion from 76% to 85% - WhatsApp nudge campaigns tied to Study Plan, raising month-1 active days 16% - PMF study: triangulated 1.4K survey responses, user interviews and behavioral data into a company-wide targeting and engagement roadmap. Became the org-wide template. The call it forced was which parent segments actually got value from the product, which meant deprioritizing others - Content quality scoring framework: flagged 400 pieces (~6% of the library) into the improvement pipeline - Cohort framework by frequency and intensity of usage, adopted org-wide as the standard for measuring feature and content health

Associate Product Manager at OYE! Rickshaw, Jun 2021 - May 2022 · 1 yr, Delhi, India, Launched three 0→1 products for a 5K+ driver-partner base. - Payouts: built an in-house platform supporting 15+ client incentive constructs and rate cards, eliminating manual reconciliation, plus in-app earnings and performance breakdowns so drivers could see how their pay was computed. Adoption 0 → 95% in two weeks via phased releases and ground training; driver satisfaction 80% → 90% 5-star - Driver App: digitized offline delivery ops with location and time-based check-ins. Chose to add friction to the driver's day because payout integrity needed ground truth. Compliance went 20% → 95% in two quarters - Driver Allocation: automated accept/reject flows and reminders for 400 daily drivers, plus broadcasting logic on locality, rank and availability. Cut absenteeism 25% and ended manual deployments

Business Analyst at udaan.com, Aug 2020 - Feb 2021 · 7 mos, New Delhi, Delhi, India, Established first-ever margin, sales and inventory visibility for FMCG North (~₹1,000 cr GMV across personal care, home care, beverages and packaged food), driving data-led decisions across ground ops. - Replenishment model: what to buy, how much, and when, optimized against margin, TAT, MOQ, MOV and DOS. Closed the structural conflict between supply's fixed buy targets and demand's fixed sell targets rather than just reporting the loss - Demand predictor: weekly and monthly order volume and value forecasts at buyer level for targeting, re-marketing and replenishment - SKU prioritization for procurement vs liquidation forecasting, improving margin and cutting COGS - Weekly margin RCA reviews with city leads to find and fix unidentified margin leakage

Business Analyst at OYO, May 2019 - Aug 2020 · 1 yr 4 mos, Mumbai, Maharashtra, India, - Scaled food-tasting growth campaigns across 20+ cities over three months, lifting booking conversions 10% - Built a 0→1 automation tool (Google Apps Script, Sheets, Python, Docs) that generated 700+ partner venue brochures in a day's effort, saving 600+ man-hours a month and becoming a core ops workflow - Behavioral segmentation on website browsing intent so relationship managers could prioritize high-conversion leads - Rediagnosed venue recommendation logic on locality and distance, cutting lead leakage and negative feedback Quarterly Rewards & Recognition award, Q2 2020.

Education

Bachelor of Technology - BTech, Civil Engineering, Indian Institute of Technology, Guwahati

Product Management Bootcamp, Product Management, Masters' Union