Hi, I'm Madan Mohan, a project manager.
I plan the flight, so your projects land on time.
MMC 2025 | Seattle to Anywhere, US | On time
Gate B1Experience
Where I've delivered
Three roles, each with the results I can stand behind. The case studies go deeper on the first two.
Departures
SeattleSeattle local time loading- 2025: Project Manager · Citi. Delivery time cut 12% across a 12-person team. Status: In service.
- 2024: Project Manager · Ants Corp. Onboarding cut from 2 weeks to 8 days. Status: Departed.
- 2022: Business Analyst · NaviSite. KPI-based vendor performance reporting. Status: Departed.
- Next: PM / TPM · Your team. Open to product and technical program roles. Status: Boarding.
Gate B2Case studies
Case studies
Written from real engagements, kept at a level that protects employer and client confidentiality.
All case studiesGate B3How I work
How I work
Four questions I use to take AI product work from ambiguity to a decision, each tied to a tool or template I built.
Are we solving the right problem?
Bring customer evidence together, separate symptoms from needs, and define the decision the team must make.
What the team gets: A problem statement, evidence-backed opportunities, and explicit assumptions.
Gate B4Writing
What makes a portfolio project inspectable?
A practical review guide for scope, ownership, evidence, and limitations.
ReadProduct teardown — from a rough brief to a reviewable PRD
A design review of the workflow described for Briefly PRD AI, with open evaluation questions.
ReadHow I gate LLM releases without slowing the team down
An eval-gated release loop that catches regressions before rollout, without turning every deploy into a research project.
Read
Gate C1Projects
Projects
Start with four product decisions, then browse the complete collection by category, status, or technology.
All project evidenceFeatured decisions
Sentinel Eval Harness
An evaluation harness for AI systems with repeatable datasets, deterministic and quality scorers, mutation testing, statistical comparison, persisted runs, an API, dashboard, and CI release gate.
Problem, approach, and evidence
- Problem
- AI quality needs repeatable evaluation before a release can be justified.
- Approach
- Combine repeatable datasets, deterministic and quality scorers, statistical comparison, persisted runs, and a CI release gate.
- Evidence
- Inspect the evaluation interfaces, mutation tests, and release-gate implementation.
Python · FastAPI · Evaluation · Statistics
Briefly PRD AI
Transforms rough product concepts into decision-ready PRDs with guided intake, user stories, acceptance criteria, success metrics, and Markdown export.
Problem, approach, and evidence
- Problem
- Early product concepts need a structured requirements draft before cross-functional review.
- Approach
- Guide contextual intake, generate an editable draft, and export Markdown.
- Evidence
- Review the live workflow and the generation route; assess drafts against actual customer evidence.
Next.js · React · DeepSeek · Cloudflare
AB Advisor
A Bayesian experimentation workspace that turns posterior probability, expected lift, credible intervals, and expected loss into an evidence-based ship decision.
Problem, approach, and evidence
- Problem
- An experiment needs a decision that accounts for uncertainty and downside.
- Approach
- Use posterior probability, expected lift, credible intervals, and expected loss to frame a ship decision.
- Evidence
- Explore the Bayesian workspace and tests in the repository.
Python · Streamlit · Bayesian Models · Pytest
FraudShield
A live rules-based e-commerce risk prototype showing transaction-level risk factors.
Problem, approach, and evidence
- Problem
- Transaction risk needs an explanation that people can inspect.
- Approach
- Use transparent online rules and transaction-level factors; evaluate the separate offline training experiment independently.
- Evidence
- Try the live risk engine and inspect the repository; a live demo is not evidence of production business outcomes.
Cloudflare Workers · XGBoost · Python · Risk
Browse every project
9 of 9 projects in Product & Strategy. 25 across the four categories.
Investigates why product metrics changed through governed definitions, safe SQL, eight diagnostic dimensions, contributor ranking, statistical evidence, and release context.
Problem, approach, and evidence
- Problem
- A changed metric needs an explanation before a team can choose a response.
- Approach
- Connect governed definitions and safe SQL to diagnostic dimensions, statistical evidence, and release context.
- Evidence
- Inspect the repository for the diagnostic workflow and implementation; no business-impact percentage is claimed here.
Python · FastAPI · SQLite · Statistics
Unifies interviews, support tickets, reviews, surveys, and analytics to detect customer problems, rank opportunities, and preserve the evidence behind every recommendation.
Problem, approach, and evidence
- Problem
- Customer evidence is scattered across interviews, tickets, reviews, surveys, and analytics.
- Approach
- Unify inputs, detect customer problems, rank opportunities, and preserve the evidence behind recommendations.
- Evidence
- Inspect how the implementation links recommendations back to customer evidence.
JavaScript · NLP · Product Discovery
A Bayesian experimentation workspace that turns posterior probability, expected lift, credible intervals, and expected loss into an evidence-based ship decision.
Problem, approach, and evidence
- Problem
- An experiment needs a decision that accounts for uncertainty and downside.
- Approach
- Use posterior probability, expected lift, credible intervals, and expected loss to frame a ship decision.
- Evidence
- Explore the Bayesian workspace and tests in the repository.
Python · Streamlit · Bayesian Models · Pytest
A working local experiment workspace with saved hypotheses, sample planning, entered conversion counts, calculated readouts, guardrail checks, review decisions, and JSON backup; rollout controls are planning state.
Next.js · TypeScript · DeepSeek
Converts customer feedback into deduplicated themes and ranked product opportunities so teams can prioritize work with traceable evidence.
NLP · RICE · Product Analytics
Runs the delivery cycle from backlog prioritization and sprint planning through Kanban execution, burndown tracking, retrospectives, and dependency visibility.
React · Vite · Recharts
Transforms rough product concepts into decision-ready PRDs with guided intake, user stories, acceptance criteria, success metrics, and Markdown export.
Problem, approach, and evidence
- Problem
- Early product concepts need a structured requirements draft before cross-functional review.
- Approach
- Guide contextual intake, generate an editable draft, and export Markdown.
- Evidence
- Review the live workflow and the generation route; assess drafts against actual customer evidence.
Next.js · React · DeepSeek · Cloudflare
Turns an early brief and team roster into a work breakdown structure, milestones, effort estimates, resource assignments, and a RAID register.
TypeScript · Workers AI · Delivery Planning
An experimental workspace connecting customer evidence, prioritization, and release decisions.
TypeScript · Python · D1 · Cloudflare
Gate C2Toolkit
Toolkit and credentials
The methods and tools behind the work above, and the training that backs them.
Delivery
- Agile, Scrum, Kanban, SAFe, hybrid
- Sprint planning and release management
- RAID logs and dependency management
- Scope, OKR, and change management
- SQL-based UAT
Product and AI
- RICE prioritization
- Requirements and acceptance criteria
- LLM evaluations and prompt testing
- A/B testing and release gates
- RAG coordination, Responsible AI
Tools and reporting
- Jira, Confluence, Azure DevOps
- Power BI, SQL, Python
- AWS and Azure
- Executive status reporting
- KPI and sprint metrics
M.S. Computer ScienceTexas A&M University–Kingsville2023 – 2025
Completed May 2025. Graduate computer science training supporting technical stakeholder work across AI delivery, data pipelines, and software systems.
B.S. Computer ScienceVVIT, Guntur2019 – 2023
Completed March 2023. A computer science foundation used in software delivery, SQL-based UAT, and cross-functional technical projects.
CAPMCertified Associate in Project ManagementCertification
A project management foundation supporting structured planning, risk management, Agile delivery, and stakeholder communication.
University Innovation FellowStanford d.school programFellowship
Design thinking, campus innovation, and turning ambiguous problems into structured experiments through the University Innovation Fellows program.
Gate C3Approach
Paste a role. See how I'd start.
A job description, a product problem, or a delivery mess. The assistant drafts the clarifying questions I'd ask, the risks I'd flag, a two-week discovery plan, and the metrics I'd propose.
Gate C4Airfield
The airfield
A map of the work above, on a real aerial photograph. Markers sit on the runway, taxiways, terminal, gates, and aircraft you can see.
Aerial photograph by Curtis Cheng on Pexels
Gate D1Arrival
Let's talk about your team
I'm open to Product Manager and Technical Program Manager roles, and happy to compare notes on AI delivery.
mmohanch12@gmail.com