Mokshada Joshi
AI Product Manager driving GenAI from concept to deployed products — with measurable business impact.
Saved ~6 hrs/booking on an AI travel platform · Reduced complaint misrouting 30%+ at a multinational bank · Governed 80+ projects at Persistent Systems · Building 3 GenAI products toward B2B launch
Building AI products that actually ship
AI Product Manager and Technical PM with 4+ years delivering GenAI applications, enterprise SaaS, data dashboards, and IT infrastructure for global clients. I established Pollen.AI — Bee Logical's AI product division — and use ChatGPT, Claude, Gemini, and Perplexity daily to move work faster, not just talk about AI.
- Own full product lifecycle — discovery, PRD, Figma wireframes, backlog, sprint delivery, GTM
- Facilitate Scrum ceremonies: sprint planning, reviews, retrospectives, grooming, refinement
- Bridge stakeholders and engineering across 3–4 concurrent client projects simultaneously
- Drive AI integration — GenAI, NLP, LLMs, RPA — into real enterprise workflows
- Open to PM, Technical PM, BA roles across AI/IT, Healthcare, Fintech, GRC, Biotech, and Finance
- Research collaborations and doctoral opportunities at the intersection of AI, product systems, and human-computer interaction
Full-stack PM toolkit
Where I've delivered
- Established and led Pollen.AI — Bee Logical's AI product division — building Smart HR, Policy Bot, and Project Insight from zero; all three in active productisation phase targeting market launch.
- Managed 3–4 concurrent enterprise client projects; led end-to-end requirement gathering using Figma wireframes and Draw.io process flows to secure client approval before development.
- Authored and groomed 50+ user stories with acceptance criteria in Azure DevOps; facilitated sprint planning, reviews, retrospectives, backlog grooming and refinement for cross-functional teams (5–7 devs, design, QA).
- Led IncBuddy 'Nova': defined PRD, built Figma prototypes, and owned backlog for AI travel booking agent — saved ~6 hrs/booking and ~18% costs via policy/approval workflows and finance dashboards.
- Delivered Telosa: AI reputation management SaaS with NLP sentiment analysis and auto-response; managed backlog, coordinated UAT, and supported GTM prep.
- Used ChatGPT, Claude, Gemini, Perplexity, and Make (Integromat) daily for design ideation, impact analysis, and workflow automation prototyping.
- Customised IBM PIM for multiple client portfolios; integrated GenAI models to automate data enrichment and approval workflows, reducing manual effort by 20%; transitioned to pursue AI product opportunity at Bee Logical.
- Built Power BI and GCP Vertex AI dashboards for CXO-level operational and security insights; authored BRDs, functional specs, and training documentation enabling adoption across 3 client teams.
- Managed 6 concurrent global infrastructure and application projects (CISCO, NterOne vendors); ran sprint planning, reviews, retrospectives, and impact analysis — all delivered within scope, timeline, and budget.
- Built PM dashboards covering 80–105 projects for CXO leadership; automated data flows in Power BI and SQL, cutting reporting time by 40%.
- Led CISCO SDWAN deployment and HJ Data Centre revamp with near-zero downtime; improved delivery predictability by 35%.
- Built AI ticket classification pipeline (BERT + SVM/KNN, Python, Flask, MySQL) for a multinational bank — reduced complaint misrouting by 30%+.
- Contributed to real-time object detection system (YOLO v3, OpenCV) for spatial positioning feedback.
Products I've owned & shipped
Academic background
Beyond the product work
Let's build something that ships
I'm actively looking for AI Product Manager, Technical Project Manager, and Senior BA roles — at companies where AI is being built into real products, not just talked about. Open across AI/IT, Healthcare, Fintech, GRC, Biotech, and Finance.
If you're hiring someone who can take a product from whiteboard to production — write the PRD, run the sprints, own the backlog, and ship — let's talk.