Owned the vision and delivery of a global cost-intelligence platform across 21 countries, enabling AI-assisted benchmarking of last-mile economics and driving 80% of global profitability analysis and 65% of pricing decisions impacting $10B+ in annual payouts

Built a plan-vs-actuals variance engine by unifying partner P&Ls, internal operational fuzzy signals, and externally crawled market data, allowing teams to identify margin risk and optimization levers across thousands of cost permutations in real time

Standardized fragmented regional data into a single global ontology, designing AWS Redshift-backed pipelines and launching new data-capture programs to close critical signal gaps (fuel, labor, vehicle utilization), expanding analytical coverage across 21 heterogeneous markets

Developed forecasting and inference models for incomplete and non-participating data, accurately modeling partner cost structures and peak-demand scenarios (Prime events, EVs, e-bikes, hyper-local hubs) to proactively adjust rates, incentives, and capacity plans

Operated the platform as the economic source of truth for last-mile delivery, continuously validating forecasts against realized outcomes while presenting concise, decision-ready narratives to senior leadership (L10) to guide market expansion, pricing strategy, and program investment.

Lead product manager at the AI Management Lab, building Langchain based AI tutor bot that decreases support ticket turnaround time by 80%, saving $220K in SQL staff training costs

Developed an LLM tutor bot that teaches students complicated concepts by analyzing student’s individual learning patterns and pace, resulting in a 45% increase in classroom engagement

Designed a sentiment analysis bot that provided professors with actionable feedback on their class structure using opinion mining techniques, leading to 22% higher student satisfaction levels

Create and maintained DCF financial models to assess the financial viability and potential returns of potential investments

Increased deal flow by 25% by conducting market research, evaluating entrepreneur pitch decks and establishing revenue KPIs for B2B SaaS portcos

Evaluated business plans and GTM strategies as part of the diligence process with an emphasis on cost structuring for technology infrastructure

Working with early-stage founders to solve product, business and tech problems

Product & business mentor for over 15 startups in incubation at $5M 1789 startup accelerator fund

Led, and built the product and development teams; played key role in Series-A investments by scaling MAU by 10X and increasing sales conversion by 5X; hired and managed first batch of PMs

Achieved month-on-month growth of 300% using cohort-based product marketing

Defined product strategy and aligned C-Suite, board, and stakeholders towards new vision

Built team-specific funnels catering to different needs resulting in 30% increase in operational throughput of jobs matching through the marketplace

Product based on marketplace concept - comprising an admin dashboard and user application - worked heavily with Android Studio, React, Balsamiq, Airtable, Google Fit API and Firebase

Included Firebase SDK in MVP since fitness tech was new to India and I decided to always put the user first; especially in an untested market with no available market research

Bootstrapped and hired a 5 member strong team of frontend & backend Software Developers

Secured first major sales contract with a large Indian IT services company just 4 months after the launch of the MVP

Wound down business operations in Jan 2020 due to the collapse in the fitness market due to the Covid-19 pandemic