Software Engineer | Systems & Full Stack Developer
I am a Computer Science and Applied Mathematics graduate from Stony Brook University with a 3.96 GPA. My work spans from low-level systems programming (C/Linux) to scalable full-stack applications. I focus on building resilient infrastructure, optimizing high-concurrency systems, and applying AI to real-world problems.
- 🎓 Education: B.S. in Computer Science and Applied Mathematics & Statistics (Summa Cum Laude).
- 🏆 Awards: 4x Hackathon Winner, including HackHarvard '24 and SBUHacks '24.
- 💼 Experience: Software Engineer at North Atlantic Industries, managing data for 15,000+ components.
- 🌐 Community: Co-Founder and President of the AI Community at SBU, scaling to 700+ Discord members.
| Domain | Technologies |
|---|---|
| Systems & Security | C, C++, Linux (POSIX), pthreads, Socket Programming, Assembly, GDB |
| Backend & Cloud | Node.js, Python, ASP.NET Core, AWS (ECS, S3), Terraform, Docker, PostgreSQL |
| Frontend | React, Next.js, TypeScript, Angular, Tailwind CSS, Android (Java) |
| Math & AI | PyTorch, NumPy, Pandas, OpenCV, MediaPipe, Google Gemini |
High-concurrency architectures, memory management, and low-level protocols.
A thread-safe dynamic memory allocator replacing glibc malloc.
-
Architecture: Architected a heap manager using Segregated Free Lists and boundary tags for
$O(1)$ payload retrieval. - Optimization: Implemented bitwise block splitting and coalescing to minimize external fragmentation.
- Testing: Validated via the Criterion framework to handle heap exhaustion and invalid pointer frees.
A multithreaded TCP server simulating a Private Branch Exchange system.
- Concurrency: Utilized POSIX threads to handle simultaneous client connections with minimal latency.
- Synchronization: Implemented thread-safe state machines using semaphores to prevent race conditions during concurrent calls.
Offensive security framework for data exfiltration.
- Stealth: Implemented in-memory encryption (AES-128) using
io.BytesIOto bypass file-based forensics. - Network: Developed a raw TCP listening server to handle concurrent exfiltration streams.
Scalable platforms, computer vision, and data-driven applications.
Centralized research discovery platform for university students.
- Impact: scaled to 300+ active users and 30+ daily visits within two weeks of deployment.
- Tech: Next.js, PostgreSQL, TypeScript.
- Optimization: Achieved sub-100ms load times through server-side filtering and caching.
Flexy (HackHarvard 2024 Winner)
AI-powered rehabilitation tool for injury recovery.
- Computer Vision: Engineered a pose-estimation engine using MediaPipe to track 33 skeletal landmarks.
- Algorithm: Developed a deviation detection system to flag joint misalignments with <100ms latency.
- Award: Won the AllHealth track at HackHarvard 2024.
Gamified education app utilizing Generative AI.
- Architecture: Built a lightweight frontend using Vanilla JS and DOM manipulation for near-instant load times.
- Award: Best Use of MongoDB Atlas at SBUHacks 2024.
Software Engineer @ North Atlantic Industries
- Automation: Developed an Android wave picking app and ASP.NET Core API to process 20+ daily production orders.
- Resilience: Orchestrated an ETL pipeline for 15,000+ components, ensuring zero data loss via error recovery protocols.
- DevOps: Deployed ephemeral test environments using Terraform and AWS ECS, isolating full-stack testing.
- Website: seanerfan.us
- LinkedIn: linkedin.com/in/seanerfan
- Email: seanerfan@gmail.com