About Experience Projects Skills Contact
GitHub LinkedIn
Available for opportunities

Nghiem Pham

I build |

Computer Science and Mathematics student at Knox College focused on backend and systems engineering. I like building scalable APIs, real-time pipelines, and fast, low-level code.

View Projects GitHub
nghiem@dev ~
$ cat about.json
{
  "name": "Nghiem Pham",
  "role": "Backend & Systems Developer",
  "stack": ["Go", "Spring Boot", "CUDA C++"],
  "education": "Knox College — CS & Math (3.9 GPA)"
}
Nghiem Pham
Nghiem Pham Backend & Systems Developer
01 About Me

Turning ideas into reality

I'm a Computer Science and Mathematics student at Knox College with a 3.9 GPA, on the Dean's List and a recipient of the Carr Prize in Mathematics. I'm drawn to backend and systems work: building things that are scalable, fast, and clean.

From social hiring platforms to live streaming infrastructure to GPU-accelerated search, I like digging into complex systems, whether that's designing RESTful APIs, building real-time WebSocket pipelines, or writing CUDA kernels close to the metal.

When I'm not coding, I serve as a Peer Math Tutor, helping fellow students master challenging mathematical concepts and build confidence in their academic journey.

3.9
GPA
43x
CUDA Speedup
30+
API Endpoints Built
6+
Languages
02 Experience

Where I've contributed

Peer Math Tutor

Knox College — Center for Teaching and Learning (CTL)

Sep 2024 — Present Galesburg, IL
  • Provide one-on-one and group tutoring sessions to undergraduate students in various math courses
  • Adapt teaching strategies to accommodate diverse learning styles and skill levels
  • Collaborate with faculty and CTL staff to develop effective tutoring materials
  • Track student progress and provide constructive feedback to improve academic performance
03 Projects

Things I've built

CUDA Vector Search Engine

GPU-Accelerated Similarity Search

A vector similarity search engine built from scratch in CUDA C++, with a semantic search demo running on real text embeddings. Three kernels implemented and benchmarked against a CPU baseline and FAISS.

  • Three kernels: global memory baseline, shared-memory tiled, and coalesced column-major layout
  • 43x speedup over CPU baseline at N=1M (D=384) with 100% Recall@10 on an RTX 3060
  • Parallel top-K selection via Thrust; C++ host interface with runtime kernel switching
  • Benchmarked against FAISS; pybind11 bindings power the semantic search demo
CUDA C++ Thrust C++17 pybind11 Python

SpinNode

Social Hiring Platform

Full-stack social hiring platform for job seekers and recruiters — featuring AI-powered resume matching, a curated job board, community forums, and real-time direct messaging.

  • Groq AI (LLaMA 3.3 70B) parses uploaded resumes and matches skills to top job listings
  • Spring Boot 3 REST API with 30+ endpoints for auth, profiles, jobs, forums, and messaging
  • JWT + Google OAuth2, role-based access control (Job Seeker / Recruiter)
  • WebSocket real-time DMs with read receipts, persisted in PostgreSQL
React TypeScript Spring Boot PostgreSQL Groq AI Tailwind CSS

Streamable

Live Streaming Platform

Full-stack live streaming platform where streamers broadcast directly from the browser or via OBS/RTMP, while viewers watch in real-time over HLS with live chat and emoji reactions.

  • Browser broadcasting pipeline: MediaRecorder → WebSocket → Go → FFmpeg → nginx-rtmp → HLS
  • RTMP ingest for OBS/Streamlabs with stream key auth and automatic go-live webhook
  • Chat replay synced to video timestamp using per-message offset_seconds
  • Redis viewer counts, WebSocket notification hub delivering stream-live events to subscribers
Go React PostgreSQL Redis nginx-rtmp Docker
04 Skills

My toolkit

Languages

Python Java C/C++ Go JavaScript TypeScript HTML/CSS

Frameworks

React Spring Boot Express Chi Tailwind CSS NumPy PyTorch

Databases

PostgreSQL MySQL MongoDB

Developer Tools

Git GitHub Docker Postman Swagger CI/CD
05 Contact

Let's work together

I'm currently looking for internship opportunities and open to collaborating on interesting projects. Feel free to reach out!

Email nghpham.dev@gmail.com
GitHub github.com/nghiem-pham
LinkedIn linkedin.com/in/nghiempham388
Phone (309) 315-1296