- 🎯 AI PM Intern @ Uplifty & 2+ years as Product Manager @ Corizo
- 🛠️ I don't just write PRDs — I prototype them: Cursor, Clause Code, Antigravity, Codex, Figma, and working demos
- 🧠 Drexel MS Business Analytics — agentic AI workflows, quantative analysis, and data-driven product decisions
- 📊 Deloitte Datathon 2026: 2nd of 20 teams — geospatial comparative analysis with policy-ready recommendations
- ⚙️ Bridging Product Strategy + Analytics + AI-assisted building
Keywords that describe my work: AI Product Management · Product Strategy & Roadmap · Agentic AI · Analytics · Tech ·
Most PMs stop at slides. I go further — into gentic AI workflows, agent prototypes, and code-adjacent demos, success metrices, evals — because the fastest way to align a team is to show the thing, not just describe it.
As a PM, I own: discovery, roadmaps, sprint planning, stakeholder alignment, evals, and the metrics that prove a bet worked.
As a builder, I ship: agentic workflow prototypes, quantative analysis, live product demos, and PRDs that engineers and designers can actually use.
Two plus years at Corizo taught me how to run product in a fast-moving org. At Uplifty, I'm applying that on a pre-launch campus social platform — mid-sprint, heads-down on shipping.
- Social product experiences — sprint-driven feature delivery on a pre-launch student platform
- Agentic AI workflows — multi-agent prototypes, knowledge-base chat, and unified dashboards
- Geospatial & policy analytics — comparative city analysis, density mapping, executive-ready insights
- Student-first product prototypes — AI-native, social-first calendars with live demos
- Tech product strategy — roadmaps, user research, and go-to-market from hands-on PM experience
- Data pipelines & visualization — Python/R analysis, ETL, and interactive visualizations
Cursor Claude Code Codex Antigravity Perplexity Agentic Workflows
Python R SQL
PRDs User Research Roadmaps Sprint Planning Stakeholder Alignment
React TypeScript Vite Tailwind CSS GitHub Pages
ETL Web Scraping APIs SQLite
🔗 https://github.com/manudevmalik/Drexel-X-Deloitte
- Geospatial comparative analysis of Philadelphia & Chicago mortality and modifiable risk factors using R (ggplot2) and Python (Pandas)
- Mapped "tobacco swamps" — 52% of residents within 1,000 ft of a retailer — correlating density to smoking disparities
- 2nd place out of 20 teams — condensed epidemiological data into an executive pitch presented to Deloitte leadership
- Social platform @ Uplifty — product work on a pre-launch student app (mid-sprint; details coming post-launch)
- Agentic AI workflow patterns — extending Stack AI + Cursor workflows from Drexel coursework into production-minded prototypes
- Student calendar product concepts — orbit-calendar live demo — AI-native, social-first scheduling prototype
AI Product Manager · Associate PM · Product Manager · AI PM Intern — startups and growth-stage teams in USA · Remote.
Especially interested in teams building agentic AI products, social platforms, or tech.
No sponsorship required.
Connect: LinkedIn