Hire the Best CUDA Developers

If you can think of a problem, I can engineer the solution. My career has been built on tackling projects where mathematics, performance, and reliability collide. From deep computational geometry to real-time imaging pipelines and AI breakthroughs, I bring algorithmic thinking into production-grade systems. What I Make Possible Computational Geometry & Simulation (CUDA): Architected a real-time electric field line simulator on GPUs, handling the dense math behind vector fields and parallel kernels. Delivered BIM-style geometry evaluation and Bezier-based drawing tools for clients who needed accuracy, interactivity, and stability at scale. Interactive Geometry Tools: Distinguished performer in delivering CAD-like solutions — room planning engines, floorplan canvases, and curve editors that match the sophistication of industry BIM systems. AI/ML (Computer Vision & OCR): Outperformed Tesseract and other baselines in image classification and OCR by building custom ML.NET and PyTorch pipelines. Leveraged trained models for chemistry-focused OCR, decoding molecular diagrams and classifying scientific data that generic engines couldn’t touch. MVVM & Real-Time Imaging: Built a live-view imaging pipeline in C#/WPF with sub-30ms latency, sustaining real-time overlays without freezing the UI by combining async/await with multithreading. I’m not just about ViewModels and data binding — I handle what most developers would call impossible to fold into MVVM, structuring complex rendering logic, continuous device streams, and performance-critical updates cleanly into responsive applications. Backend Architecture (ASP.NET Core): Built a search engine that transformed OCR’d exam content into queryable data for JEE/Olympiad problems, returning matches and solutions with precision. Secured APIs with Microsoft Identity + JWT for robust user management. XAML Engineering: Designed custom bindable controls — battery meters, temperature indicators, sound meters — powered directly by live camera and device data. Beyond templates, I create reusable controls that extend the XAML ecosystem. Algorithm Design: From extracting clean outlines from noisy contours to detecting bonds in chemical structures, I specialize in solving problems where raw data needs to become usable intelligence. Security & DevOps: Full-stack capability in authentication/authorization, user management APIs, and CI/CD pipelines to keep delivery seamless and production-ready. Beyond the Obvious If you can imagine extracting complex geometrical details from a live camera feed, training an AI model on that data, and rendering it in real-time with OpenGL/WebGL/WPF — I can deliver it or even make it interactable. This is just a mad example; the possibilities are much wider — not limited to camera or geometry, but really about what you can imagine when these skills combine, powered by my foundation in mathematics, computational geometry, CUDA, and AI. Recognition I am Expert-Vetted on Upwork, officially ranked among the top 920 freelancers worldwide in 2024 — a distinction far more selective than “top 1%.” This represents consistent success on high-stakes, algorithm-heavy projects with global clients. Skills & Tools C#, .NET, ASP.NET Core, REST APIs, Microsoft Identity, JWT Authentication, SignalR, EF Core, LINQ, MongoDB, Azure, Docker, Microservices WPF, WinUI 3, UWP, Uno Platform, MAUI, XAML, Custom Controls, MVVM, Real-Time Imaging, UI/UX for Desktop C++, CUDA, GPU Acceleration, High-Performance Computing (HPC), Parallel Computing, OpenGL, GLSL, CUDA-OpenGL Interoperability Computational Geometry, Physics Simulation, Algorithm Design, Contour Extraction, Data Structures & Optimization Machine Learning, Deep Learning, Computer Vision, OCR, Data-Driven Modeling, PyTorch, TorchVision Performance Optimization, Clean Architecture, Multithreading, Async/Await, CI/CD Pipelines, DevOps

🚀 Transforming Real-World Problems into Intelligent Solutions with AI I'm Hana, a Computer Engineer, researcher with accepted papers and award-winning AI developer with hands-on experience in autonomous systems, computer vision, and data science. I’ve led and contributed to multiple real-world AI projects, from autonomous racing vehicles to AI-powered CCTV monitoring, blending software and hardware expertise with research-backed development. What makes me stand out? ✅ Multidisciplinary Expertise: From ROS & robotics to deep learning (YOLO, CNNs), I bring a full-stack AI approach. ✅ Fast & Curious: I learn quickly, adapt even faster, and deliver results with precision. ✅ Strong Coding Skills: Python, C++, TensorFlow, PyTorch, OpenCV, Scikit-learn. ✅ Deployment-Oriented: I don’t stop at models — I integrate them with dashboards, IoT streams, or edge devices. My core services include: 🔹 Object Detection & Tracking (YOLO , SSD, OpenCV) 🔹 AI for CCTV & Smart Surveillance Systems 🔹 Autonomous Navigation & Simulation (ROS2, AutoDrive) 🔹 EEG Signal Processing & Brain-Computer Interfaces 🔹 Data Analysis & Predictive Modeling 🔹 Dashboard Integration (Plotly, Streamlit) If you're looking for someone who combines technical depth with a get-things-done mindset, let's build something smart together. 📬 Feel free to send a message — I’m excited to hear about your project!

I have been developing software for Linux for over twenty years, both professionally and personally, in a broad range of fields. My primary programming language is C, but I do a lot of work in Python and C#, and I use or have used many other languages in a variety of environments and operating systems. Game engine, tools and logic development is my main focus, but all aspects of programming interest me. I very much enjoy problem solving, and I am quite skilled at finding and fixing tenacious bugs. General areas of work include graphics programming, physics simulation, 2D and 3D math, high performance multi-threaded programming, debugging, compiler development, model import, export and processing tools. Languages: C, C#, Python, GLSL/HLSL, C++, Objective-C, Ruamoko (Objective-QuakeC (I wrote the compiler)), 80x86 assembly Tools: gcc, git, autoconf, automake, make, Blender, Unity, DJGPP, OpenGL, bash, sed Operating Systems: Linux, MS-DOS

Machine Learning and AI Engineer. 8+ years shipping applied AI into production: LLM agents and RAG, NLP, speech, computer vision, and CUDA. I build systems that hold up in production, not demos, and every claim below is a number I measured. LLM and NLP - Semantic CV-to-job matching for an EU job board: 10,001 CVs against 10,003 vacancies, 100M cosine pairs in about 18s on one RTX 4090 (bge-m3), then a two-stage LLM re-rank that spreads the top 10 from 0.93 down to 0.71 where the raw cosine moves only 0.03. - LLM CV builder: messy PDF / DOCX / LinkedIn text into a strict Pydantic record bound to the client's 674-value taxonomy, so invalid output is structurally impossible. Emits a recruiter-ready LaTeX PDF and database-ready JSON. - Crypto signals from tweet embeddings (live client program): Qwen3-Embedding-8B on an A40, 1M+ tweet vectors in Qdrant, 44 symbols scored every 60 seconds, 4.65M events ingested, 10-day zero-error run. Speech - On-prem call-centre speech-to-text, in production 2020-2022, feeding fraud detection and call routing. Benchmarked on hand-labeled calls: Whisper 20% median WER, Vosk 28%, Google 32%. - Diarized transcription toolkit, TTS, and cloned-voice agents. Computer vision and CUDA - Multi-camera 3D capture for film relighting: 33 datasets delivered, 3-32 synchronized cameras each, GPU space carving at 1.98 s/frame versus 65 s in vectorized NumPy (about 33x). 5.0 Upwork review. - GPU brute-force passphrase recovery: about 58,000 candidates/s on one RTX 4090, 160x over CPU, sharded across multiple GPUs and machines. - Open-set retail robot vision on ROS 2; banknote detection at the cash desk. YOLO, Grounding DINO, RealSense. How I work Anti-hallucination is enforced in the code path, not in a prompt: strict schema validation, retry on violation, closed enum vocabularies. Success criteria are pre-registered before results exist, models are judged on time-ordered splits, and negative results get reported rather than buried. Stack - LLM and agents: OpenAI API, Claude Agent SDK + MCP, LangChain / LangGraph, RAG, vLLM, Hugging Face Transformers, fine-tuning, structured outputs with Pydantic + instructor, hand-written tool-use loops, chatbots on Telegram and web - NLP and search: embeddings, semantic search, vector databases (Qdrant), clustering, topic discovery, classification, multilingual pipelines - Speech: Whisper, Vosk / Kaldi, Deepgram, Google Cloud STT, TTS, speaker diarization - Vision: OpenCV, YOLO, Grounding DINO, TensorFlow Object Detection, RealSense RGB-D, ROS 2, NVIDIA Jetson - Classic ML: PyTorch, TensorFlow, scikit-learn, CatBoost, forecasting, time-series validation, reinforcement learning - GPU: CUDA C++, PyCUDA, Nsight Compute, multi-GPU sharding - Data and infra: Python, FastAPI, Docker Compose, PostgreSQL, Redis, BigQuery, pandas / NumPy / Parquet, n8n, Linux VPS, GCP Full case studies for each project above, with architecture diagrams and honest results including what did not work, are in my Portfolio section below. Tell me what you are building and I will tell you plainly whether I am the right fit for it.

With 20+ years of industry experience (10+ years in embedded systems), I build high-performance real-time video and computer vision solutions. I specialize in: RTSP, WebRTC, and low-latency streaming GStreamer, FFmpeg, OpenCV pipelines Embedded Linux development (Raspberry Pi, Orange Pi, Jetson) Multi-camera systems, video recording, and synchronization AI-based video analytics (YOLO, RKNN, edge AI) I have delivered production-grade systems including: Real-time multi-camera streaming and recording platforms AI-powered video analytics solutions Embedded vision systems with hardware acceleration End-to-end video pipelines (capture → process → encode → stream) My focus is always on performance, reliability, and scalability — especially in resource-constrained embedded environments. If you need a practical expert who can bridge camera hardware, video pipelines, and real-world deployment, I can help.

Software Engineer with 7 years of experience specializing in AI, Computer Vision, and Fullstack web development 🏅 ✅Worked on ALPR, Pathology Detection, Traffic violation reporting, etc… ✅ AI & Computer Vision → Agentic AI, Langchain, Langraph, Reactive agents, Nvidia DeepStream, Nvidia Jetson, OCR, GStreamer (C/C++/Python) ✅ Full-Stack Web Development → React/Next.js, FastAPI, Node.js, Spring Boot ✅ Databases & Other backend tools → PostgreSQL, MongoDB, Kafka, Spark ✅ DevOps & Deployment → Docker, Nginx, ELK Stack, Cloud Services (AWS, GCP) ✅ 15+ successful projects, currently deployed in production and thriving 🚀 🏅 Top 3% of Talent | Certified in Computer Vision, React.js, Java, Python & Deep Learning