Austin, TexasAI · Product · Software · Texas A&M

Building at the intersection of software and product.

CS student at Texas A&M who ships AI tools, thinks through product decisions, and works where engineering meets strategy.

Want to learn more or work together? Reach out.
SnapshotAustin, TX
Currently
Head of Technology at Cloud 9, building the tech behind our run club
Stack
Python, React, TypeScript, SQL
AI tools
Claude API, Gemini API, OpenAI API, LangChain
Product skills
Discovery, roadmapping, prioritization, user research
Focus right now
Agentic AI systems and product strategy
Always learning
System design, product frameworks, ML fundamentals

What drives the work

AI products that sit at the edge of engineering and real business decisions

A bit about me

Dishant Patel, CS student at Texas A&M

CS student at Texas A&M spending most of my time at the overlap of building and thinking, writing code to ship real products and working through the product decisions that make them worth building in the first place. Work spans early-stage startups, a college baseball analytics team, and a Fortune 500 manufacturing company. The through-line is always the same: find a real problem, build something that solves it, and make sure people actually use it.

Based in
Austin, TX
School
Texas A&M
Focus
Product · Software · AI
Austin, Texas Honors CS · AI Minor

Focus Areas

Building software systems, thinking through product, and working with AI and data.

Software Systems

Full-stack apps, APIs, automations, and AI-supported workflows, from Flask ML prototypes to serverless functions on AWS and Cloudflare.

Product Thinking

User problems, measurable outcomes, requirements, prioritization, feedback loops, and turning ideas into usable products.

AI and Data Products

Tools that use AI, data, and automation to support decisions, reduce manual work, and create better product experiences.

Where the work has happened

AI, product, and software roles across startups and enterprise.

Things built

AI tools, data products, and software systems.

Education & coursework

Honors CS with an AI minor, plus coursework and honors programs.

Texas A&M University

B.S. in Computer Science, Honors

Minor in Artificial Intelligence (Mays Business School)

GPA

3.9 / 4.0

Graduation

May 2028

Honors

Engineering HonorsEngineering Honors EDGE

Involvement

Aggies in TechProduct@TAMUAggie AI SocietyAggie Coding ClubAggie DatathonTAMUHack

CS Core

  • Data Structures and Algorithms
  • Computer Organization
  • Programming Languages
  • Software Engineering
  • Design and Analysis of Algorithms
  • Database Systems
  • Machine Learning
  • Intro to Computer Systems

Math and Science

  • Engineering Math I
  • Engineering Math II
  • Engineering Math III
  • Linear Algebra
  • Statistics

Product and Business

  • Product and App Development
  • Product and Go-To-Market Strategy
  • Business Technology and Innovation
  • Emerging Business Technology
  • Engineering Entrepreneurship

Honors Programs

  • Engineering Honors EDGE (1 of 35 selected)A competitive program developing engineering leaders through cross-disciplinary challenges with industry experts across engineering, business, and design.
  • Aggies in Tech, Business of Technology Certification (1 of 40 selected)A selective program bridging technology and business with coursework in product strategy, go-to-market planning, and technology adoption alongside product leaders.

The tools behind the work

Filter by category to see the stack, from languages to product.

Languages

PythonJavaScriptTypeScriptJavaC++SwiftSQLHTML/CSS

Frontend

ReactNext.jsTailwind CSSSwiftUIResponsive design

Backend and APIs

Node.jsFlaskREST APIsAWS LambdaAPI GatewayPostman

AI and ML

Claude APIGemini APIOpenAI APIscikit-learnpandasNumPyVector searchCustom GPTsAI agentsPrompt engineeringRAG

Data

SQLBigQueryCloud SQLSupabaseCloudflare D1

Infrastructure and Deployment

AWSGoogle CloudCloudflare WorkersVercelGitGitHubDocker basics

Product

User researchRequirements gatheringRoadmappingPrioritizationPRDsUser storiesStakeholder communicationFeedback analysisPrototypingGTM strategyAgileScrumOKRsA/B testing

Design and Tools

FigmaVS CodeNotionSlackConfluencePowerPointExcel

What's on the radar

Product, AI, and engineering worth paying attention to, plus what happens away from the screen.

Product and AI sources

Following
Lenny's NewsletterAcquireda16z PodcastLatent SpaceNo PriorsDwarkesh PodcastThe Product PodcastAll-In PodcastEye on AIY Combinator

Builders and Engineering

Following
Andrej KarpathyStatQuestFireshipCloudflare DevelopersStripe EngineeringAnthropic ResearchOpenAI Research

Books

Reading
Inspired by Marty CaganContinuous Discovery HabitsThe Lean StartupHookedRange by David EpsteinThe Medici EffectMoneyballAtomic HabitsCracking the PM Interview

Hobbies

Hobbies
RunningFlag footballBasketballCricketFollowing the NFL and NBA closelySports analytics

Let's talk.

Open to roles in AI product management, software engineering, and product strategy. Always excited to talk about technology, what could be built, and how to get there.