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Software Engineer and Machine Learning Researcher at University of California San Diego. Building intelligent systems at the intersection of artificial intelligence, distributed backends, and high-performance computing.
📍 somewhere with a good dog
What I Do
Two years at Deutsche Bank shipping backend systems that served over 100,000 employees. Now at University of California San Diego, going deep on machine learning systems, GPU computing, and artificial intelligence pipelines. I like hard problems.
Years at Deutsche Bank
GPU speedup
Users served
Transformers from scratch, retrieval-augmented generation pipelines, and CUDA-accelerated compute. Artificial intelligence built to run in the real world.
Spring Boot microservices, REST APIs, enterprise-scale systems. 99% uptime is the baseline, not the goal. Built for 100,000+ users at Deutsche Bank.
CUDA kernels, parallel dynamic programming, memory coalescing. Making algorithms fly on silicon — 156 times faster than the HMMER3 baseline.
Hackathons
Yes, the sample size is one. No, I will not be entering more until I absolutely have to defend this stat. Technically undefeated. Technically untouchable.
Portfolio
Artificial Intelligence · Retrieval-Augmented Generation
A GPT-2 scale transformer built from scratch (124 million parameters) with multi-head causal attention and pre-LayerNorm residual blocks. Layered with a retrieval-augmented generation pipeline over GitHub pull request diffs for structured code reviews.
CUDA · High Performance Computing
↑ 156× speedup over HMMER3 baseline
GPU-accelerated genomic sequence alignment on 32 SARS-CoV-2 sequences using parallel dynamic programming and on-device backtracking to eliminate host-device memory transfers.
Computer Vision · Full Stack Development
Claude vision model extracts structured data from receipt images — line items, prices, and categories — with per-item confidence scoring, inline correction, and a spending analytics dashboard backed by a versioned REST API.
Always Building
Check GitHub for the latest repositories and experiments. Hackathons, side projects, research — it is all there.
Experience
Software Engineer
Software Engineering Intern
Education
Master of Science in Computer Engineering
Computer Architecture · Deep Learning Systems
Bachelor of Engineering in Electronics and Telecommunications
Data Structures and Algorithms · Database Systems · Object-Oriented Programming
Capabilities
Languages
Frameworks
Artificial Intelligence
Infrastructure
Off the Clock
Currently Playing
No Role Modelz
J. Cole
Love Yourz
J. Cole
Stressed Out
twenty one pilots
Count Me Out
Kendrick Lamar
24K Magic
Bruno Mars
Current Mood (as an Engineer)
Real events. The code is fine. Probably.
Contact
Open to full-time roles, research collaborations, and interesting side projects. I respond fast.
[email protected]