Welcome to Vice City
Senior Full Stack Developer | AI & Computer Vision Researcher

I'm a passionate software engineer with a Master's in Computer Science from Northeastern University. With 9+ years of experience spanning full-stack development, game development, and AI/ML research, I bridge the gap between cutting-edge research and production-ready applications.
My research focuses on Computer Vision, Deep Learning, Medical Image Analysis, and Explainable AI. I've developed systems for skin cancer classification, monocular depth estimation, and multi-modal book detection using state-of-the-art architectures.
Sole senior engineer on a HIPAA-compliant platform that helps families coordinate Alzheimer's care, used by 200+ caregivers and patients on AWS, with real-time messaging, push notifications, and shared care plans. Made it audit-ready for healthcare data with encrypted patient information, full audit logging, and role-based access, passing an outside HIPAA readiness review with no critical findings. Merged three separate web and mobile codebases into one TypeScript monorepo, worked directly with clinicians, and mentored two junior engineers.
Rebuilt a slow legacy real-estate analytics app as a modern Blazor WebAssembly front end, roughly halving page load time and removing the brittle state management that made it hard to change. Built a real-time market-data pipeline with SignalR and SQL Server change tracking that streamed live pricing and inventory to hundreds of concurrent users with sub-second updates, and created a reusable library of data grids, charts, and filters that became the standard building blocks for the product's dashboards.
Built the software for a self-service food kiosk and robotic cashier in C# / .NET, talking to real payment terminals and hardware over low-level protocols, plus the customer ordering app (Xamarin) and an admin dashboard (ASP.NET Core and Angular). Added automated order routing that noticeably cut kitchen wait times, and a hardware abstraction layer so one codebase ran across three machine models.
Built the multiplayer networking for a VR smart-city simulation in Unity, keeping many users in sync in real time, plus spatial audio, hand-tracking, and on-screen interfaces. Added a desktop spectator client so people without a headset could watch and take part, and automated the art pipeline to turn a multi-hour per-scene chore into a quick one.
"Sukhrob is one of the most versatile developers I've worked with. He took a vague product idea and turned it into a polished, production-ready application in just 8 weeks. His ability to handle everything from database design to pixel-perfect UI is genuinely impressive. Already planning our next project together."
"We brought Sukhrob on to rescue a project that was falling behind. He quickly identified the architectural bottlenecks, refactored the core systems, and delivered a stable release two weeks ahead of our revised deadline. Clear communicator, great problem solver, zero drama."
"Finding a developer who understands both game networking and web infrastructure is nearly impossible — Sukhrob is that rare find. He built our entire multiplayer backend and admin dashboard from scratch. The codebase he left us is clean, well-documented, and easy to maintain."
Developed explainable deep learning system for multi-class skin lesion classification using EfficientNet V2 with GradCAM++ visualization. Implemented novel ABCDE criterion analysis for clinical interpretability across all 9 ISIC 2019 categories.
Designed lightweight depth estimation model with ResNet18 encoder and U-Net decoder, achieving 42% fewer parameters than Depth Anything V2, 72% faster inference, and better relative error metrics on NYU Depth V2 benchmark.
Implemented FSRCNN architecture achieving 40x speedup over SRCNN with end-to-end learned upsampling. Evaluated on Set5 (+1.78 dB PSNR) and Set14 (+1.26 dB PSNR) with comprehensive ablation studies.


Community platform for CS2 servers serving 30K+ registered users and 1K+ daily active players with social features, in-game admin/ban/report system, Stripe-powered shop, and real-time server integration.


HIPAA-compliant platform connecting to hospital PACS via DICOM for AI-powered analysis on X-ray, CT, and MRI studies with OHIF Viewer integration.

Online chess platform with PvP and AI opponents, supporting rated and unrated matches with real-time WebSocket communication.
End-to-end book detection from bookshelf images using YOLO segmentation and Moondream2 vision-language model for title/author extraction.
Northeastern University, Boston, MA
January 2024 - May 2026
GPA: 4.0/4.0Suffolk University, Boston, MA
September 2021 - May 2023
Cum Laude | GPA: 3.5/4.0INTI International College, Malaysia
September 2019 - July 2021
TUIT, Uzbekistan
September 2017 - June 2019
GitHub
github.com/suxrobgmTelegram
@suxrobgm