Building products · Open to PM opportunities

Software Engineer → Product Manager

Nripesh
Kumar

UCLA Anderson MBA '28. Former Senior SWE at Visa. Building enterprise products at the intersection of data, automation, and user-centered design.

About

Engineer who thinks in products. Builder who ships.

4+
Years at Visa
2
Graduate Degrees
95
CareerLeader · Tech Interest

I spent four years as a Senior Software Engineer at Visa, helping launch V-ARM — Visa's first B2B accounts receivables product.

Before that, I earned an M.S. in Computer Science (ML specialization) from Columbia University and a B.Tech. in CS from NIT Trichy. I'm now joining UCLA Anderson's MBA program to make the full transition into product management.

I'm currently building a portfolio of enterprise products — working in public, shipping fast, and documenting the product decisions.

Product Demos

Products I've built — from problem to shipped solution

Each demo shows the user problem, my PM approach, and measurable outcomes. Click to explore the full product story.

V-ARM Dashboard
$2.4M
AR Tracked
Problem

Finance teams spent 10+ hours/week manually tracking $2.4M in overdue accounts across spreadsheets and email.

Solution

Co-defined MVP with 12 enterprise customers. Built automated aging reports, payment prediction, and smart follow-up workflows.

Outcome

85% reduction in manual work · $340K recovered in Q1 · 94% customer satisfaction

85%
Time saved
$340K
Q1 recovery
94%
CSAT score
Enterprise B2B Fintech User Research GTM Strategy
PRD Quality Reviewer Demo
Problem

Product managers spent 2 hours reviewing each Business Requirements Document for clarity, completeness, and edge cases.

Solution

Built multi-agent AI pipeline using Claude API to score BRDs across 12 dimensions with section-level feedback and improvement suggestions.

Outcome

2 hours → 2 minutes · 60x faster · 40% improvement in first-pass quality

60x
Faster review
40%
Quality boost
12
Dimensions scored
AI/ML Multi-Agent Developer Tools Productivity
Payment Instruction Parser Demo
Problem

Finance teams often receive payment instructions through messy email threads, forwarded invoices, and informal reminders. Manual extraction creates delays and increases the risk of missing due dates, vendors, or payment methods.

Solution

Built an internal finance tool that accepts .txt and .eml email uploads, extracts payment instructions using structured outputs, and stores results in PostgreSQL for review. The Streamlit interface gives operators a simple workflow: upload, inspect, and review extraction history.

Outcome

Reduces manual data entry · Handles multiple payment requests per email · Improves extraction reliability

100%
Automated extraction
Multi
Payment per email
Audit
Ready history
Python FastAPI Streamlit PostgreSQL

All Projects

Shipped

01

Payment Instruction Parser

Intelligent extraction of structured payment data from unstructured emails — improving accuracy and reducing manual data entry for accounts payable teams.

Python FastAPI LLM Streamlit PostgreSQL
PM insight: Solving a $2.4M pain point in enterprise finance operations with intelligent automation.
View Demo →
Shipped

02

PRD Quality Reviewer

Intelligent scoring of product requirements documents across clarity, completeness, edge-case coverage, and acceptance criteria quality.

Python LLM Streamlit
PM insight: Demonstrates expertise in requirements definition and quality assurance — a rare skill for PM candidates.
View Demo →
Shipped

03

B2B Payments Dispute Classifier

Intelligent classification of payment disputes by type, resolution path, and regulatory flag — with confidence thresholds for human review.

Spring Boot LLM PostgreSQL React
PM insight: Shows how to handle model uncertainty in regulated industries — a critical PM skill.

Education

2026 → 2028

UCLA Anderson School of Management

M.B.A., Full-Time Program

  • 705 GMAT Focus (750 GMAT equivalent). Merit-based Fellowship Awardee.
  • Concentrating on product management, technology strategy, and entrepreneurship.
  • Active member: AnderTech, Management Consulting Association.

2021 → 2022

Columbia University

M.S. Computer Science, ML Specialization

  • Machine Learning specialization with focus on NLP and computer vision applications.

2016 → 2020

National Institute of Technology, Trichy

B.Tech. Honors, Computer Science

  • Economics Minor.
  • Organized Ethical Hacking workshop and Blind Coding competition (Pragyan Tech Fest).
  • Led technology awareness workshops for school students (National Service Scheme).

Experience

2022 → Present

Visa

Senior Software Engineer

  • Co-defined and launched V-ARM, Visa's first B2B accounts receivables product, unlocking $17.8M in transactions in the first month.
  • Built a BRD scoring tool that reduced requirements review time by 60x (2 hours → 2 minutes) and improved quality by 40%.
  • Led cross-regional teams to recover a 1-month schedule slip and deliver ahead of regulatory deadline.
  • Enabled EU market expansion through multilingual data extraction and localization.
  • Increased deployment frequency by 25% and reduced time-to-quality by 30% using AI-assisted development tools.

2021 → 2022

Columbia University

Graduate Research Assistant

  • Defined requirements and built a data pipeline processing 2TB of satellite imagery, increasing throughput by 30%.
  • Translated researcher needs into a self-serve tool, accelerating rainforest mapping workflows by 20%.

2020

Flatworld Solutions

Analyst Intern

  • Scoped and delivered an intelligent document extraction solution, reducing mortgage processing time by 40%.

Technical fluency

LLM / GenAI Claude API Multi-agent Systems RAG Pipelines Python Java · Spring Boot Node.js React PostgreSQL pgvector Kafka Streamlit Vercel · Railway Agile / Scrum Product Roadmapping PRD Writing User Research A/B Testing

Get in touch

Let's build something that matters.

I'm open to PM opportunities and conversations with founders building at the intersection of data and enterprise software.