Welcome to Vice City
Senior Full Stack Developer | AI & Computer Vision Researcher
I've been building software for nine years, mostly web platforms in .NET and TypeScript. I also do computer vision research, mainly medical imaging and explainable AI, and hold a Master's in Computer Science from Northeastern.
My favorite kind of project starts with a model that only runs in a notebook and ends with something people actually use. Papers and code are on the research page.
Lead engineer on an Alzheimer's care platform on AWS, where 200+ caregivers and patients message each other and share care plans. I folded three web and mobile codebases into one TypeScript monorepo and did the security work (encryption, audit logs, access control) that got us through an outside HIPAA readiness review with no critical findings. The ML features are mine too: a decline-risk model and an NLP pipeline for clinical notes. I also mentor two junior engineers.
Moved an old ASP.NET Web Forms real-estate analytics app to Blazor WebAssembly, and pages got about twice as fast. I built the live pricing feed (SignalR plus SQL Server change tracking) that pushed updates to hundreds of users in under a second, along with the component library all the dashboards were built from. The valuation and forecast models behind those dashboards retrained every night on the day's transactions.
Wrote the C# software that ran a self-service food kiosk and a robotic cashier, payment terminal and hardware protocols included. I also built the customer ordering app (Xamarin) and the admin dashboard (ASP.NET Core and Angular). A hardware abstraction layer let the same code run on all three machine models, and orders went to the right kitchen station automatically.
Built multiplayer networking, spatial audio, hand tracking, and the in-world UI for a VR smart-city simulation in Unity, plus a desktop client for anyone without a headset. Scene builds used to take hours of hands-on work. After I automated the art pipeline (model import, LODs, light baking), an artist could start one and walk away.
"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."
Matches microscope images of treated cells to a plain-language description of the drug or gene behind the change. The DINOv3 and BioClinical ModernBERT encoders stay frozen and only small heads are trained, so one consumer GPU is enough. Tested on CPJUMP1 (51 plates, 3M+ images).
Image editors asked to change one facial feature tend to retouch the whole face, which ruins a surgical preview. I tried three client-side fixes across six commercial editors and 196 edits, checking identity with ArcFace and whether each edit stayed put. Plain masked compositing worked best.
A nine-class skin-lesion classifier (EfficientNet V2, focal loss) with 0.86 weighted F1 on 25K ISIC 2019 images. Its GradCAM++ heatmaps are broken down by the ABCDE criteria dermatologists already use, so a clinician can see what the model was looking at.
Estimates depth from one image with a ResNet18 encoder and U-Net decoder. Next to Depth Anything V2 it has 42% fewer parameters (14.3M vs. 24.8M), runs 72% faster, and makes smaller errors on NYU Depth V2.
Rebuilt FSRCNN (Dong et al., ECCV 2016) from the paper at 2x, 3x, and 4x. My version reproduced its gains over SRCNN on Set5 (+1.78 dB PSNR) and Set14 (+1.26 dB), and I added ablations on the shrinking and mapping layers.
Software for running a trucking company. A multi-provider LLM agent with custom tools matches loads to trucks, checks drivers' federal hours-of-service limits, and plans multi-stop routes. The rest of the system is four web portals, a Kotlin Multiplatform driver app, a multi-tenant .NET backend (DDD/CQRS), Stripe payments, and integrations with DAT, Truckstop, Samsara, and Motive.
Community site for Counter-Strike 2 servers, with 50K+ registered players and over 1K active on a typical day. Players get profiles, friends, messaging, and a cosmetics shop (Stripe). A C++ Metamod:Source 2 plugin ties the game servers to the backend, so admins can ban, handle reports, and moderate without leaving the game.
Checks your dependencies against OSV.dev for known vulnerabilities in eight ecosystems, including npm, PyPI, NuGet, Cargo, and Maven, and gets through 1,000+ of them in seconds. It's also an encrypted secrets vault (AES-256-GCM) with one-time sharing and a .NET AOT CLI that injects tokens into CI/CD pipelines.
Pulls X-ray, CT, and MRI studies from hospital PACS over DICOM and runs PyTorch detectors on them, for example pneumonia on chest X-rays and brain bleeds on head CTs. Results show up as overlays in the OHIF viewer. Scans are de-identified on the fly, and access is role-based and logged. Built with FastAPI and Next.js.
Online chess against people or an AI, rated or casual. Moves travel over WebSockets, so both players' boards stay in sync.
Snap a photo of a bookshelf and get back a list of the books. YOLO picks out each spine, Moondream2 (via llama.cpp) reads the title and author, and an Angular UI lets you fix mistakes and export. It won an Outstanding Project Award at Northeastern.
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