AI Product Manager ● active
Sole PM across ideation, PRDs, user stories, sprint planning, retrospectives, investor decks, and pilot-client conversations.
I’m Monish Nallagondalla, an AI Product Manager with an MSc in Data Science, turning ambiguous workflows into shipped agentic products across healthtech, edtech, and AI-native teams.
From PRD to prompt trace.
From model eval to launch.
Monish has worked across the stack: user research, requirements, roadmaps, sprint rituals, architecture, RAG, agent orchestration, and production ML.
That range matters when AI behavior is the product. He can translate model constraints into product decisions without turning every conversation into an engineering lecture.
His current work spans an early-stage AI company, a production healthtech agent, and a zero-to-one learning system, supported by years of data work in India and the UK.
Sole PM across ideation, PRDs, user stories, sprint planning, retrospectives, investor decks, and pilot-client conversations.
Shipped an AI recipe agent covering 37 edge cases across 30+ Indian states, with dietician review and cross-platform delivery.
Architected a zero-to-one AI learning system: RAG curriculum assistant, personalised learning, tutoring agents, whiteboard, and voice interaction.
Ran concurrent AI consulting and digital-product programs, bridging client outcomes, product scope, and delivery.
Designed a 12-agent course and career guidance system using CrewAI and LangChain.
Designed an AI/ML curriculum, mentored 20+ learners, and shipped resume and interview-preparation tools.
Predictive maintenance, failure forecasting, Django KPI dashboards, and LCA/LCCA work for infrastructure.
30+ Tableau dashboards, 150+ SQL queries, and FCA-compliant reporting for enterprise clients including Sainsbury’s, ASDA, and Virgin Money.
Built ML models, ETL pipelines, and Tableau and Power BI dashboards from business requirements.
Open-source, local-first AI chief of staff and thought-architecture framework with database-first memory and three-track evaluations.
↗Agent integrating market APIs, earnings reports, and financial-ratio analysis.
↗Multi-document question answering with vector indexing and retained chat history.
↗Resume matching, skill-gap analysis, and job-description alignment in a working Streamlit product.
↗DVC data versioning, MLflow experiment tracking, DagsHub, and CI/CD.
Discovery through launch, especially where model behavior, evaluation quality, and user experience need one accountable product owner.
A strong fit when the PM must move fluently between users, engineering, analytics, and go-to-market teams.
Readiness audits, agent workflows, RAG systems, and analytics projects with a defined outcome and finish line.
Hiring an AI Product Manager, or turning one painful workflow into a real product? Monish is based in Bengaluru, works globally, and is open to relocation for the right role.