Software Engineer Intern
·MicrosoftCurrentRedmond, Washington · On-site
- Building on the Microsoft Security IQ team (formerly the Sentinel Platform), contributing to security tooling at cloud scale.
- Software Engineering
- Security
- Azure
- Cloud
~/portfolio $ whoami
Vineet Kumar
<software_engineer />
Software engineer building distributed systems, AI-powered platforms, and the occasional trading bot.
// 01 — about
Engineer with a systems mindset
I spent three and a half years at ION Trading building trade-processing systems for global financial institutions — working across C#, Java, and C++, integrating Kafka and ActiveMQ for real-time data exchange, and automating infrastructure that cut multi-week processes down to minutes.
Now I'm at San Jose State University earning my Master's in Computer Software Engineering, where I've built everything from a self-healing microservice mesh with AI-driven root-cause analysis to a clinical decision-support engine with auditable diagnoses. I care about clean architecture, distributed systems, and using AI where it genuinely earns its place.
Outside coursework, I'm interning at Microsoft, mentoring engineers, and shipping side projects ranging from SaaS platforms to crypto trading bots.
- TypeScript
- React
- Next.js
- Three.js / GLSL
- Node.js
- Java
- Python
- C++ / C#
- AWS
- Docker
3+
Years in tech
10+
Projects shipped
120+
Modules automated
3.87
Undergrad GPA
// 02 — experience
Where I've worked
Software Development Engineer
·ION TradingPune, India
- Built a C# desktop interface to streamline import/export of market index, correlation, and volatility data in XML — cutting setup time from 1 week to 10 minutes between UAT and Production.
- Engineered a trade-processing framework with Apache Camel and Java, integrating Kafka and ActiveMQ for ExxonMobil to enable real-time trade data exchange and reduce latency.
- Enhanced a commodity trading module using Java Native Interface and C++ to automate bulk trade scheduling — cutting UAT time from 4 weeks to 30 minutes.
- Automated .NET Framework upgrades with PowerShell across 120+ modules, slashing upgrade time from 2 months to 1 week.
- Achieved a consistent 95% CI pass rate through rigorous code reviews, SonarQube, and SOLID-principles sessions for the team and new hires.
- Authored technical documentation that reduced new-hire onboarding time by 60%.
- C#
- Java
- C++
- Apache Camel
- Kafka
- ActiveMQ
- PowerShell
- SonarQube
Microsoft Learn Student Ambassador
·MicrosoftVellore, India
- Facilitated hands-on workshops for 150 students, achieving 100% completion of a full-stack deployment project using Node.js, Docker, and Nginx.
- Conducted Azure sessions for 200+ participants on cloud computing, spot VMs, and Apache HTTP servers.
- Azure
- Node.js
- Docker
- Nginx
// 03 — startup
TrueStar
Co-Founder & EngineerAn AI-native expert research platform.
TrueStar runs two research tracks in parallel and merges them into one cited report. Primary research is live, AI-moderated expert interviews — a voice agent named Aria interviews vetted human experts over LiveKit, paying them per interview via Stripe Connect. Secondary research is TARS: four specialized AI agents that independently research the open web, debate their findings, cross-check claims, and produce a synthesis with a hallucination audit and grounding score.
Aria — real-time voice interviewer
Sub-second voice agent over LiveKit WebRTC (Deepgram STT · Azure OpenAI · Fish Audio TTS) conducting ~10-minute expert interviews.
TARS — multi-agent fact verification
Four adversarial agents (Data Scientist, Investigative Journalist, Domain Expert, Devil's Advocate) debate, reflect, and synthesize an auditable verdict with cited sources.
RAG document intelligence
Namespace-scoped retrieval over expert documents — text-embedding-3-large into Pinecone with Cohere Rerank 3.5.
Production microservices
Four services on a shared Docker network: React 19 SPA + Express API, FastAPI RAG, FastAPI multi-agent orchestrator, and the voice worker.
- React 19
- Express
- PostgreSQL 17
- Redis
- Azure OpenAI
- Pinecone
- Cohere Rerank
- Tavily
- LiveKit
- Deepgram
- Stripe Connect
- Docker
Visit truestar.techsource: private
// 04 — projects
Selected work
Ordered by today's most in-demand skills — AI/ML and distributed systems first. Every card links to its repo.
AI / ML
Hyrd
CMPE 280 · Final Project · Team of 5
A premium career platform — the entire job search in one editorial workspace.
- Next.js 15
- TypeScript
- PostgreSQL
- Azure OpenAI
- Cartesia
AI / ML
Medical Diagnostic Assistant
CMPE 255 · Data Mining · Final Project
Record-based clinical decision support where every prediction is auditable.
- Next.js
- FastAPI
- FAISS
- Pinecone
- Azure OpenAI
Distributed Systems
Mesh Control
CMPE 273 · Enterprise Distributed Systems · Final Project
A self-healing microservice mesh with AI-driven root-cause analysis.
- Python
- FastAPI
- gRPC
- React
- OpenTelemetry
Distributed Systems
Distributed Fire Query System
CMPE 275 · Enterprise Application Development · Mini 1–3
A graduate distributed-systems study on 1.17M wildfire air-quality records.
- C++
- Python
- gRPC
- OpenMP
- POSIX Shared Memory
Full-Stack
AI Campus Marketplace
CMPE 202 · Group Project · Team Lead
A full-stack marketplace for SJSU students to buy and sell essentials.
- Java
- Spring
- React
- PostgreSQL
- Redis
Full-Stack
Study Pilot Platform
CMPE 280 · Hackathon Project
An academic co-pilot unifying tasks, calendar, and AI study help.
- Next.js
- TypeScript
- Material UI
- Azure OpenAI
- Vercel
Fintech
TradeHub
CMPE 272 · Enterprise Software Platforms
A real-time, scalable stock and crypto trading platform.
- React
- Vite
- Express
- PostgreSQL
- Drizzle
// 05 — skills
What I work with
Distributed Systems & Microservices92%
Java / C# / C++90%
TypeScript / React / Next.js88%
Cloud & DevOps (AWS, Azure, Docker)85%
AI Integration (RAG, LLMs, Three.js)82%
My approach
I gravitate toward the hard parts of software — distributed systems, real-time data, and the architecture that keeps them resilient. Three years in fintech taught me that maintainable, well-tested code beats clever code every time.
I reach for AI where it genuinely earns its place, pair it with deterministic safeguards, and care about the details — performance, accessibility, and the small interactions that make software feel considered.
Languages
C++ · C# · Java · Python
Frameworks & Libraries
React · Next.js · Node.js · Spring
Messaging & Data
Apache Kafka · RabbitMQ · ActiveMQ · PostgreSQL
Cloud & Infrastructure
AWS · Azure · Docker · Linux
// 06 — contact
Let's Build Something
I'm open to software engineering internships and new-grad roles, and always up for a conversation about distributed systems, AI, or a good side project.