Digant Pandey

Owned product strategy and development for a multi-agent AI system super-charging prototyping at CSH2. - Designed and shipped an LLM-powered operations agent that automates sensor data analysis through natural language queries replacing manual dashboard review - Building a RAG-driven predictive insight engine connecting live test data with maintenance logs, research papers, and historical runs to surface failure modes during active testing - Defining product requirements for a physics-led simulation agent that validates fueling events against protocol compliance, integrating P&ID diagrams and CFD logic with real system parameters - Roadmapping integration of multi-modal AI and voice agents, and building foundational eval systems for AI deployment in physical world - Met and worked with few of the smartest people I know over hotpot and poke at the founder's house in Fremont Tools & Stack: Claude Code, Cursor, Python, PyTorch, LangChain, RAG pipelines, TimescaleDB, Grafana, CFD simulation, Claude+GPT4 APIs, MCP, Streamlit, Gumloop, n8n, Liquid AI small LMs, vector databases, prompt engineering, multi-agent orchestration, agentic search, building Physical AI evals

Majors: Finance, Operations, Marketing | Pathway: Technology Management Building and commercializing products:-> AI for Carbon Markets: Built an MRV product using satellite imagery and automated workflows for the voluntary carbon market as Climate Base Fellow Government Process Redesign: Automated Chicago's vacant lot disposition system as Mayor of Chicago Fellow Industrial Commercialization: Developed go-to-market strategy and financial model for solid waste metal recovery at the Querrey Innovation Lab at Northwestern Space-Tech VC: Evaluated PlanetIQ's satellite data platform focusing on its product-market fit, defensibility, and investment thesis at Kellogg's Venture Lab Agritech Due Diligence: Assessed early-stage agritech startup for an impact investing fund Marketplace MVP: Built and validated a rental space marketplace from discovery through prototype Awards: Social Impact Case Winner (2024) & Mentor (2025), Dean's List (Spring 2025) Leadership: VP of Founders Club, Business & Politics Club, Energy & Sustainability Club

Deployed robotics and AI-enabled last-mile systems into live operations, aligning autonomous routing, computer vision, and human operators to improve reliability and reduce cost. - Led systems-level redesign of robotics-enabled last-mile delivery through root-cause analysis of $1.2B in concessions; piloted simulation-driven layout and workflow changes projecting ~$72M in annual savings - Integrated computer vision quality assurance and real-time defect detection into last-mile tech stack with safety validation and reliability controls, reducing defects by 11% and projecting ~$84M in annual savings - Learnt how to plan barbecues and food trucks for 150+ people, flipped burgers and learnt how to say "no" to extra cheese requests

Owned product roadmap and go-to-market strategy for satellite-based sensing and weather prediction platforms, defining how ML-driven simulation and forecasting capabilities extended the core product for commercial expansion. - Defined AI product strategy that became a central pillar of the company's $50M Series B fundraise narrative, mapping ML capabilities to new market verticals

Promoted to lead data strategy and AI systems deployment for the Prime Minister's Office and UP Chief Minister's Office, advising senior Cabinet Ministers and Chief Ministers directly on data-driven decision-making - Architected national data platform integrating 80B+ citizen records across demographic, economic, and electoral datasets, creating the data backbone for a $360B annual budget decision-making process - ML prediction models helped win 78 of 112 contested districts in 2024 general elections, expanding vote share by 12 percentage points - Led 30-member cross-functional team shipping ML-driven voter propensity models, policy messaging tools, and real-time media analytics war rooms optimizing $40M+ in ad spend - Built decision-support dashboards and briefing systems used directly by Union Ministers and Chief Ministers, translating model outputs into actionable strategy for non-technical stakeholders - Organized monthly organization-wide quizzes (that everyone hated), and handed them off to a close colleague in a moment of peak schadenfreude

Promoted to build the team's data infrastructure and first ML products after establishing analytical capabilities during the 2019 campaign. Owned the full stack from data pipelines to model deployment across Delhi 2020 and West Bengal 2021 elections. - Designed and built data collection infrastructure from scratch: mobile survey tools and field monitoring systems processing 2M+ responses over 6 months, feeding real-time signals into targeting models - Built NLP-based sentiment analysis model processing social media, news, and field survey data to predict voter behavior at district level — iterated across two election cycles with measurable accuracy improvements - Stood up the team's first real-time analytics war room, integrating media monitoring, survey data, and sentiment signals into a unified operational dashboard for campaign leadership

Member of the founding team of Nation with Namo, a policy thinktank advising the Prime Minister of India's Office in political strategy design and execution - Ideated and implemented My First Vote for Modi campaign - Built ground operations tech from scratch: launched mobile data collection and fleet monitoring tools, scaling field infrastructure to collect and analyze 2M+ survey responses over 6 months

Built the initial ML and computer vision-driven geospatial product from scratch as founding PM, translating satellite imagery into actionable insights for agriculture, energy, and defense sectors. - Led product discovery and roadmap for crop health monitoring and climate risk assessment products for agribusiness clients - Integrated satellite imagery tools with legacy infrastructure monitoring systems for energy utilities - Designed and proposed a real-time border monitoring system for the Ministry of Defense; won $400K pilot contract to deploy