Hi, my name is

Vinay Venkatesh

Software Engineer & ML Engineer

Junior at Carnegie Mellon University studying Statistics, Machine Learning & Artificial Intelligence.

Experience

Software Engineer Intern

May 2026 – Present

LinkedIn · Sunnyvale, CA

  • •AI Infrastructure

AI Integration Engineer Intern

Jan 2026 – Apr 2026

Wolfe, LLC · Pittsburgh, PA

  • •Integrating AI workflows to improve content speed, personalization, and efficiency across teams
  • •Building multimodal creative AI pipelines (OpenAI) for video, image, and copy generation
  • •Prototyping agentic AI systems to automate creative production and project-management workflows
  • •Contributing to fraud detection and security AI for transaction screening and compliance

Software Engineer Intern

Jun 2025 – Aug 2025

Payactiv · Milpitas, CA

  • •Developed 30+ RESTful APIs for an XMPP-based chat platform supporting 1M+ users
  • •Designed PostgreSQL schemas reducing query latency by 15%
  • •Wrote automated tests with xUnit and Postman, improving API reliability
  • •Delivered QBR-ready features two weeks early within Agile/Scrum workflows

Machine Learning Engineer Intern

Feb 2023 – Aug 2024

San Jose State University · San Jose, CA

  • •Optimized ML pipeline linking 3D facial geometry and DNA, achieving 0.73 AUROC
  • •Compressed 120K+ vertex meshes into 16-D embeddings using SpiralNet++
  • •Improved verification accuracy by 18% using 41 biologically tested SNPs

Software Engineer Intern

Jul 2022 – Sep 2022

GenerAI · Fargo, ND

  • •Built web and mobile app using React Native and ASP.NET Core connecting 200+ creators with 50+ brands
  • •Collaborated with COO and 3-person team to launch MVP within 8 weeks

Education

Carnegie Mellon University

Aug 2023 – May 2027

B.S. in Statistics, Machine Learning & Artificial Intelligence · Pittsburgh, PA

Relevant Coursework: Machine Learning, Computer Vision, Deep Learning, Data Structures and Algorithms, Probability, Data Science, Functional Programming, Linear Algebra, Statistical Visualization

Activities: Data Science Club, Artificial Intelligence Club, Asian Student Association, Phi Delta Theta Fraternity

Y Combinator Startup School

Jul 25–26, 2026

Startup School · San Francisco, CA

Projects

ArmVision

Real-time firearm detection system using computer vision. Trained a YOLOv5 model achieving 93% peak accuracy. Published and presented findings at an IEEE conference.

PythonTensorFlowYOLOv5Computer Vision

Math Performance Analysis

Interactive web dashboard exploring factors affecting students' math performance. Features 10+ visualizations revealing relationships between academic habits, demographics, and results.

Next.jsTypeScriptD3.jsRechartsData Visualization

TradeSim

Responsive trading dashboard displaying 6 real-time KPIs. Features an order matching engine with partial fills, price-priority execution, and multi-symbol order books.

Node.jsExpress.jsREST APIsFull-Stack

Enhanced Flappy Bird

15-112 Term Project — a reimagined Flappy Bird game built with Python featuring enhanced mechanics, custom graphics, and progressive difficulty scaling.

PythonPygameGame Development

Skills

Languages

PythonJavaTypeScriptCC++GoSwiftC#JavaScriptSQLHTML/CSSR

Frameworks & Libraries

ReactPyTorchAngularNode.jsTensorFlowpandasNumPyMatplotlib

Tools

GitHubDockerKubernetesAzureAWSJiraPostmanGoogle ColabLinuxHadoopKafka

Methodologies

RAGTime-Series ForecastingRegressionGANsPCAAgileScrum

Get In Touch

I'm currently looking for internship opportunities in software engineering, data science, and machine learning. Feel free to reach out!

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