Kinjal Sharma

I do the research and then I build the thing.

From market sizing that contributed to seed funding, to a B2B opportunity that closed a Japan deal, to a live growth dashboard I shipped to practice what I preach.

MEM + CS, NC State · May 2026

Resume

Growth PM & APM · Open to relocate in the US

About Me

I started in CS because I liked building things. But somewhere along the way I started caring more about whether the thing should exist, who it was for, and why people weren't actually using it. Engineering couldn't answer those questions. So I went looking for the other half.

MEM was that search. And somewhere in the middle of it, during an IBM Design Thinking Capstone, things clicked. My team was studying littering around bus stops in Raleigh. The easy assumption was obvious. But when I sat down and actually talked to the people at those stops, everything shifted. The problem wasn't behavioral, it was structural. That project gave me something I carry into everything: the people closest to the problem are never the problem.

What I'm looking for

Roles at the intersection of product, business, and technology, where getting close to the problem is still the job.

NC State bell tower with Mr. and Mrs. Wuf

GO Pack!

Work Experience

Research first, then execution. Every role below.

Product Strategy & Operations

MSiReader · Raleigh, USA

Aug 2025 to Dec 2025

Open-source scientific software tool that lets researchers visualize and analyze mass spectrometry imaging (MSI) data.

Diagnosed adoption barriers through 20 user interviews and multi-wave surveys across 3,000+ users, identifying trial unawareness as the core friction point.
Authored PRDs defining problem statements, user friction points, and adoption success metrics based on 1,200+ survey responses.
Identified $4.4B B2B expansion opportunity through competitive analysis; recommended a bundling partnership model that directly contributed to a closed partnership in Japan.

$4.4B B2B expansion opportunity identified

Product Consultant

SLA Robotics · NC State · Raleigh, USA

Jan 2025 to May 2025

NC State startup building the world's first amphibious multi-terrain robot capable of navigating land, water, and underwater terrain.

Conducted 75+ domain expert interviews across USGS, NOAA, Duke Energy, and MIT; identified wetland inspection as the primary use case, securing Andrews Launch Accelerator seed funding.
Sized a $403M SAM by analyzing OSHA compliance costs for manual diving, recommending wetland management as the highest-priority market entry point.
Developed modular pricing strategy aligning product configurations with budget structures across research institutions and utility companies.

$403M SAM identified, Seed funding secured

Program Manager Intern

Innovaccer · Noida, India

Mar 2024 to Jul 2024

Healthcare AI unicorn that unifies clinical and financial data across hospitals to power AI-driven care and administration.

Built executive-facing security analytics dashboard using Power BI, surfacing CVE and vulnerability data; primary reporting tool used by C-suite to prioritize remediation.
Conducted company-wide IT audit with compliance team; identified 8 critical process gaps representing $1.5M in exposure, escalated to full executive leadership.
Reduced unresolved security vulnerabilities by 35% by coordinating cross-functional remediation syncs across product, engineering, and security teams.

35% reduction in unresolved security vulnerabilities

Machine Learning Trainee

Tech Mahindra · India

Aug 2023 to Feb 2024

Global IT services company delivering AI and digital transformation solutions for Fortune 500 clients across telecom and banking.

Built semantic search pipelines using Sentence Transformers on the client's internal platform, improving retrieval accuracy across 1M+ unstructured text records.
Developed LLM-powered retrieval workflows using LangChain, enhancing query understanding by chaining retrieval and generation components at enterprise scale.
Queried and analyzed structured data using SQL to track search performance metrics, directly informing model optimization decisions.

1M+ text records, improved search retrieval accuracy

Research Assistant

Dept. of CSE · AKTU · India

Aug 2022 to May 2023

University research on genetic marker-based behavioral prediction using machine learning models.

Preprocessed longitudinal genetic marker datasets (MAOA, 5-HTT) using Python (Pandas, Missingno); trained SVM, ANN & Random Forest models; SVM achieved 84% classification accuracy.
Published a peer-reviewed IEEE paper (IC3I 2022) and led a team of 4 on research in genetic marker-based behavioral prediction.

84% SVM accuracy, IEEE IC3I 2022 published

Collaborated with

IBM·MEM Program · NC State·NC Sea Grant

Selected work

Case studies and projects where I owned discovery, prioritization, and execution.

Case Studies

Food TechProduct DesignUser Research

FoodMindful People's Choice Award

From grocery receipts to zero waste. Built a decision elimination tool for busy professionals. Won People's Choice Award at NC State InnoLab Demo Day.

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ResearchEnvironmentalField work

IBM Capstone: Marsh Creek Watershed

Research at bus stop hotspots for NC Sea Grant to understand pollution pathways and reduce watershed impact.

View case study

AI / MLSupply ChainAnalytics

MEM Executive Challenge: AI Supply Chain Visibility

Enterprise case study on demand forecasting, real-time visibility, and inventory optimization to respond faster to disruptions.

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Built for Fun

Side projects I shipped in a single session. Vibe coded through Cursor.

Vibe CodedConsumer ProductCreative Tech

Expression Photo Booth

A browser-based party photo booth with 4 expression poses, filters, and downloadable photo strips. Built and shipped in one session.

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Computer VisionVibe CodedGame DevCreative Tech

Don't Wake the Blob

Hand-tracking game where you catch falling objects with your index finger to protect a sleeping blob. Built with MediaPipe, a custom physics engine on HTML5 Canvas, and procedurally generated Web Audio sounds. No frameworks. No game engine. Just the web platform.

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AISaaSGrowthOpen AI APIVibe Coded

GrowthOS

Built because early-stage companies waste hours stitching together Mixpanel, Baremetrics, and spreadsheets to answer one question. GrowthOS brings funnel data, experiment results, and MRR impact into one dashboard, with funnel visualization, experiment simulation, MRR modeling, and a Revenue Ops view for billing and enterprise pipeline.

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