• 🎯 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

Most PMs stop at slides. I go further — into agentic 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

CursorClaude CodeCodexAntigravityPerplexityAgentic Workflows

PythonRSQL

PRDsUser ResearchRoadmapsSprint PlanningStakeholder Alignment

ReactTypeScriptViteTailwind CSSGitHub Pages

ETLWeb ScrapingAPIsSQLite

🔗 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