Building the economic decision systems behind 10M+ Amazon packages delivered worldwide every day

• 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.

Product Manager at UNC’s NLP research laboratory for advanced AI applications in edtech

• 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

Became proficient in core product management skills including clear & concise communication, prioritization, product sense, execution mindset, strategic thinking and stakeholder management. Also had a chance get hands on experiences with training an open source AI model from scratch (Falcon 7/40B)

Managed sourcing, forecasting and deal flow for the Carolina Angel Network with an emphasis on B2B SaaS startups

• 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

Became proficient in financial modeling, deal structuring, market research, data analytics and due diligence.

Founding product manager - Raised capital, roadmapped, shipped first set of products that disrupted market monopoly, captured 65% of market share in just 2 years making Aerologix one of the most profitable startups in the cutting-edge drone tech sector.

• 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

Became proficient in building and managing product teams, aligning product+tech+business strategy, raising venture capital, A/B testing, product analytics, deep ML, database design, building a strong work culture with an experimentation mindset.

Developed Android and Web application and scaled to 12K+ monthly active users

• 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

Became proficient in every aspect of tech entrepreneurship - raising venture capital, B2B sales & marketing, hiring and management of a development team, business strategy, finance, java (kotlin), and ground-up or 0-1 product management