WebRTC, FFmpeg, AI, OpenCV, Streamin – I fix real-time video apps and have since 2005. 13,485 hours, 14 projects, 100% Job Success. Zero abandoned. ⚡ 𝗙𝗿𝗲𝗲 𝗣𝗥𝗗. 𝗠𝗩𝗣 𝗶𝗻 𝟳-𝟭𝟰 𝗱𝗮𝘆𝘀. 𝗙𝗿𝗲𝗲 𝗰𝗼𝗱𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗿 𝟮-𝘄𝗲𝗲𝗸 𝘁𝗿𝗶𝗮𝗹 𝗼𝗻 𝗮𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲. Netflix, HBO, EA, Nokia, the World Bank, and Harvard trust platforms I've built. These clients don't give second chances. Mine work. ⚠️ Invite me to your job – I reply within 15 minutes. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 → Speed.Space – live production platform for Netflix, HBO, EA, and Apex Legends. Multi-stream switching, real-time collaboration, pro codec control. Used at Paris Fashion Week and Live Nation events. Zero downtime. → ShortKlips – video project management for Nokia and the World Bank. 200K+ monthly video views. Cut client project turnaround by 30%. → VirtualCr8tive – hybrid event platform for Harvard University and U.S. Vets. → CloudDoctors – HIPAA-compliant telehealth on WebRTC. Built from concept through multiple release cycles. → YUUALL – WebRTC platform built across multiple versions, long-term engagement. 𝗪𝗵𝗲𝗿𝗲 𝗜'𝗺 𝗦𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 – Pipeline latency – I profile FFmpeg filter graphs and cut processing time without losing quality. – WebRTC under load – jitter buffer, codec mismatch, TURN/STUN. I find which one is yours fast. – AI on live video – TensorFlow inference under 80ms; object and audio recognition on live feeds. – FFmpeg deep work – custom filter graphs, muxing, hardware acceleration (NVENC, VAAPI, VideoToolbox). – Scale & reliability – systems handling 600M+ call minutes a month, fixed at the architecture level. 𝗦𝗽𝗲𝗰-𝗙𝗶𝗿𝘀𝘁 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 I work spec-first, not vibe-first. I write the full spec and architecture before any code. Then I drive AI agents: developer, tester, analyst – against strict guardrails to produce production-grade code. The hard real-time work I handle or verify myself: WebRTC pipelines, sub-second latency, on-device ML. You get AI speed with the stability of a senior engineer, 4-10× faster than classic coding. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 You describe what's broken or what you're building. I send back a diagnosis: the problem, the fix, the cost. Not a sales call. Then we scope the work together before either of us commits. My estimates average ~10% off actuals. I validate before building and run staged QA on every release. 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 1. Build from scratch – real-time video, AI, or streaming, end-to-end. 2. Drop in on your team – I take the hard video, AI, or WebRTC modules. 3. Rescue and modernize – fix slow or unstable platforms and ship to production. I work inside the Fora Soft team – 51-200 engineers. If your project grows, a PM, QA, and more developers are already there. No solo freelancer who vanishes when scope expands. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗜 𝗨𝘀𝗲 𝗗𝗮𝗶𝗹𝘆 ◆ Real-time & video: WebRTC, LiveKit, FFmpeg, GStreamer, OpenCV, HLS/DASH, RTMP/RTSP, OBS, WebGL ◆ AI & ML: TensorFlow, PyTorch, OpenAI API, Whisper, YOLO, object and audio recognition ◆ Back-end: Node.js, Python, TypeScript, distributed systems, high-load APIs ◆ Cloud & infra: AWS, GCP, Docker, Kubernetes, CI/CD 𝗪𝗵𝘆 𝗙𝗼𝗿𝗮 𝗦𝗼𝗳𝘁 The team behind me: 914 jobs · $10M+ earned · 401K+ hours · 250+ projects since 2005 · 400+ clients across 17+ countries · Top WebRTC & Telecom Developer 2022 and 2024 · 1 of 400 devs passes our internal selection. 𝗖𝗹𝗶𝗲𝗻𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 "We enjoyed working with Andrey. He saw himself as part of our team and proactively contributed. Even last-minute requests were handled in a timely, constructive way. Many of his proposals were better than our own ideas." – client, YUUALL (WebRTC platform) ⚠️ Describe what's broken. I'll tell you what's wrong, how to fix it, and what it costs.

I'm a Senior Data Scientist and AI/ML engineer with 25+ years of experience building computer vision and deep learning systems for medical imaging, defense, and other regulated industries. I'm co-inventor of 8 U.S. patents in AI-driven medical image analysis, including SecondLook®, an FDA-cleared mammography CAD system used in roughly 1 million screenings per year that improved cancer detection by 20%. Recent hands-on work includes fine-tuning BioBERT for biomedical sentiment analysis (97.5% F1) and building a CNN-based chest X-ray detector (94.1% recall), alongside AI-integrated cybersecurity work for DoD and healthcare clients. I take on short-term, well-scoped engagements: model architecture review, computer vision/deep learning development, and technical advisory for teams building AI into regulated or high-stakes products. Available now for projects and consultations.

I am an AI/ML developer specializing in Computer Vision, Embedded AI, and real-world automation systems. I work with startups, researchers, and small businesses to design and deploy practical machine learning models that solve real operational problems. With a Bachelor's degree in Computer Engineering (Nanotechnology option) from the University of Alberta, I have hands-on experience with: 1) Object Detection and Face Recognition using OpenCV and YOLO 2) Embedded AI solutions using TensorFlow Lite on Raspberry Pi and Arduino 3) GPT/LLM integration for custom chatbot and PDF summarization tools 4) Automation pipelines using Python, Pandas, Scikit-learn, and Flask 5) Dashboard development with Streamlit and model deployment via APIs I focus on clear code, real results, and business-driven AI—not just academic models. Whether you need help with a one-time project or a long-term collaboration, I deliver production-ready, well-documented solutions with a strong understanding of both software and hardware aspects. Let’s connect if you’re looking for an AI partner who understands systems from edge devices to APIs.

Most developers will build exactly what you spec. The problem is that what gets specced is rarely what actually solves the business problem. The gap between those two things is where AI projects fail, and closing that gap before writing any code is how I work. I have been building production AI systems and full-stack platforms for several years. Not prototypes. Systems that handle real users, real data and real consequences when something breaks. TaxForce is a 37-agent system running inside a real CPA firm covering document intake, risk scoring, audit defense, deadline tracking and client communication. The Facebook Self-Healing Ads platform is a closed-loop AI system that monitors, diagnoses and fixes campaign performance without human intervention. PAM AI handles thousands of concurrent dealership calls across 8 plus CRM integrations. Dentva is a HIPAA-compliant SaaS handling patient scheduling in production daily. These are not templates strung together, they are properly engineered systems with error handling, logging and recovery paths built in from the start. Before this I spent a year and a half at Turing doing RLHF and model evaluation on the OpenAI and Claude model families. That experience shapes how I evaluate AI output and design systems that behave reliably rather than impressively in demos. On the full-stack side I was CTO on RIZZ, a React Native dating app that grew past 100K users. I have worked on Junia AI, Slides and TopSocialAI across multi-tenant architecture, real-time systems and mobile at scale. These are confirmed production experience not claimed skills. The stack I work in daily is Next.js, React, TypeScript, Python FastAPI, Node.js, Supabase, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Retell AI, Vapi, Twilio, ElevenLabs, Deepgram, n8n, Make and AWS. If you are building something in agentic systems, AI automation, full-stack SaaS or voice AI and you want someone who will tell you honestly what the right approach is before agreeing to build it, that is the conversation I am interested in having.

Check Portfolio: AI Agents in Action for Data Intelligence With over 7 years of experience building production-grade AI systems, I specialize in transforming ambitious ideas into scalable, real-world solutions. Ready to take your AI project from concept to launch? Here's how I can help: 📚 RAG Specialist: Design and implement robust RAG pipelines that enhance LLM performance with dynamic, real-time knowledge retrieval. 🧠 LLMOps & Agentic System Architecture: Expertly built infrastructure for Large Language Models and autonomous, goal-oriented AI agents. 📊 Business-Driven AI Solutions: Translation of complex business challenges into impactful, measurable machine learning results. 🛠️ End-to-End Project Execution: Seamless transition from research and prototyping to scalable, production-ready systems.

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝟓𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I am an AI/ML engineer specializing in end-to-end artificial intelligence development — from concept to deployed, scalable systems that solve real business problems. With 8+ years building machine learning, deep learning, and generative AI solutions for global clients (including Huawei and Turing), I deliver reliable, production-grade systems — not just prototypes. 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✓ Full-stack AI delivery: requirements → architecture → deployment → maintenance ✓ Battle-tested across 50+ international projects ✓ Focus on business impact, not just technical complexity ✓ Clear communication and rapid iteration cycles 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Computer Vision & Image Processing: Object detection | Image classification | ANPR systems | Face recognition | Video analytics | Image segmentation | OCR | Real-time tracking Natural Language Processing & LLMs: Chatbot development | RAG systems | LLM fine-tuning | Text generation | Sentiment analysis | Document summarization | Named entity recognition | GPT/Claude integration Audio & Speech Technologies: Automatic speech recognition (ASR) | Text-to-speech (TTS) | Speaker identification | Audio classification | Voice cloning | Noise reduction 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:Python | TensorFlow | PyTorch | Keras | Scikit-learn | Hugging Face | LangChain | OpenAI API | FastAPI | Flask | Docker | AWS | Azure 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡:I take full ownership — understanding your use case, recommending the right approach, building the solution, and ensuring it works reliably in production. You get working software, comprehensive documentation, and post-deployment support. 𝐈𝐝𝐞𝐚𝐥 𝐅𝐨𝐫: Custom AI model development and training ML pipeline design and automation API development and third-party integration Proof-of-concept to production scaling Legacy system modernization with AI Let's discuss how AI can create measurable value for your business. Message me with your project details, and I'll respond with relevant examples and a clear path forward.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $30K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 30+ Projects Completed. ✅Top Rated. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 3+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧 𝐏𝐫𝐨𝐯𝐞𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬: - Increased Client Lead Flow: Leveraging AI technologies, I have successfully increased client lead flow by up to 𝟔𝟎%, aligning with industry trends and enhancing business growth. - Efficiency Through Automation: By implementing advanced automation solutions, I have reduced manual workloads by 𝟓𝟎%, streamlining operations and boosting productivity. I am an Independent Senior Full Stack Developer and AI Specialist with over 8 years of experience in crafting AI-powered web applications, intelligent voice bots, and autonomous Agentic AI systems. My mission is to deliver high-quality, scalable, and innovative solutions that not only meet but exceed client expectations. As an independent developer, I can outperform agencies, providing high-quality, scalable, and AI-driven solutions that meet and exceed client expectations. 💡 ✅My expertise spans AI workflow automation, Agentic AI development, AI-powered voice bots 💬, Generative AI, RAG systems, LLM integration, autonomous AI agents, MLOps, and full-stack development, using React.js, Next.js, Node.js, TypeScript, and serverless architectures to build AI-powered, intelligent, and adaptive applications. 🏥 Healthcare Platforms 🏥: I build AI-powered patient management dashboards, Agentic AI systems, voice bots 💬, RAG-driven healthcare analytics, and AI workflow automation to deliver smart, automated, and efficient healthcare solutions. 📅 Booking Platforms 📅: I develop AI-powered reservation systems, AI voice bots 💬, Generative AI automation, and RAG-based intelligent booking solutions that streamline scheduling, reducing manual work, and increasing operational efficiency. ✈ Travel Websites ✈: I create AI-powered travel platforms, AI voice bots 💬, Generative AI content engines, Agentic AI recommendation systems, and RAG-based travel automation to offer personalized, intelligent, and autonomous travel experiences. ✨ Core Tech & AI Expertise: ● Agentic AI 🤖: Agentic AI integration, autonomous AI agents, AI-driven automation ● Generative AI: Generative AI content, AI-powered generative platforms ● AI Voice Bots 💬: AI-powered voice bots, conversational AI, voice automation ● RAG Systems: RAG-powered AI, Retrieval-Augmented Generation, AI knowledge systems ● Full Stack Development: React.js ⚛, Next.js 🌐, Node.js ⚡, TypeScript 📝, MLOps, serverless AI architectures ● Backend & Databases: Express.js, Prisma, PostgreSQL, MongoDB, GraphQL, REST APIs ● UI/UX & Frontend: Tailwind CSS, ShadCN-UI, Chakra UI, Material UI, Framer Motion 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, 📩 Let’s collaborate to build your AI-powered applications, Agentic AI systems, intelligent voice bots 💬, Generative AI platforms, and RAG-driven solutions. As an independent developer, I guarantee top-quality work, agency-level expertise, and personalized delivery. Contact me today to bring your AI vision to life!

Top Rated Plus developer with a 100% Job Success Score specializing in high-performance Android (Kotlin/Jetpack Compose) and iOS (Swift/SwiftUI) applications. I provide a competitive edge by integrating on-device AI - from custom fine-tuned YOLO models for real-time detection to local LLM integration for intelligent UX. Simultaneously, I offer expert-level React Native development for clients seeking high-intensity, scalable cross-platform solutions. I bridge the gap between complex AI logic and polished mobile UX. A recent production success includes a YOLO-based scanning app achieving a 100% detection rate and 99% OCR accuracy via TensorFlow Lite. Technical Expertise: - On-Device AI & Vision: Expert in custom YOLO, OpenCV, and Google ML Kit for real-time scanning and on-device LLM features. - Native Excellence: Senior-level SwiftUI and Jetpack Compose development focusing on clean MVVM/MVI architecture. - High-Intensity React Native: Building robust cross-platform apps with seamless native-module integrations and high-performance UI. - Backend & Cloud: Scalable infrastructure using AWS Lambda, Firebase, Supabase, GraphQL, and REST APIs. - Growth & Revenue: Integration of MMPs (AppsFlyer, Adjust) and analytics (Mixpanel, Customerio) to track revenue and user behavior. - Modernization: Expert at migrating legacy codebases to modern frameworks and optimizing app performance. I lead projects from the first line of code to App Store/Google Play deployment, ensuring every app I ship is production-ready, performant, and data-informed.

Proud partner with NVIDIA Inception + MIcrosoft Startups ⭐⭐⭐⭐⭐ "Amazing work with Nitish, very professional and glad..." ⭐⭐⭐⭐⭐ "Professional and with great expertise. A pleasure to work with!" ⭐⭐⭐⭐⭐ "Great attention to detail and v responsive..." ⭐⭐⭐⭐⭐ "Very good developer, Really he saved my time and solved my problem in very short time. Best developer ... on Upwork" ════════════════════════ 🏆 UPWORK ACCREDITATIONS & ACHIEVEMENTS ✅ Top Reinforcement Learning Freelancer in India ✅ Top 5 Computer Vision Engineer in India ✅ Top 10 Machine Learning Engineer in India ✅ Top 10 Deep Learning Experts in India ✅ Best Robot Operating System (ROS) Developers in India ✅ Top PyTorch Freelancer in India ✅ Top 20 Robotics Agency (Robolabs AI) ✅ 100% Job Success Rate with perfect client satisfaction ✅ Top Rated Status with 5-star client reviews ════════════════════════ ⚡ EXPERTISE & SERVICES Specializing in high-performance AI/ML solutions using Python, C++, and MATLAB 🔹 Machine Learning & Reinforcement Learning Chatbots • Recommendation Engines • Autonomous Decision-Making Systems 🔹 Robotics & Autonomous Systems Real-time Localization • Robotic Control • Motion Planning 🔹 Computer Vision Applications Autonomous Vehicles • Surveillance • Quality Control Systems 🔹 Cloud AI Deployment Scalable Solutions on AWS, GCP, Azure • Docker • Kubernetes 🔹 Quality Assurance Rigorous Testing • Top-Performing Models • Enterprise Reliability ════════════════════════ ⚡ TECHNICAL SKILLS 🤖 Robotics: ROS, ROS2, Isaac Sim, SLAM, RL, Gazebo, MoveIT, RoboDK, RPA, End-to-end Learning, Sim2Real, Digital Twin, Robotics Sensors (LiDAR, Stereo Camera, IMU, Odom) 🧠 LLM Development: Supervised Fine-tuning, DRPO with state-of-art models (DeepSeek, o1, o3-mini, Claude Sonnet, Grok, Google Gemini, Mistral) 📊 Machine Learning & Deep Learning: TensorFlow, PyTorch, Keras, Scikit-learn, StableBaselines, XGBoost, LightGBM 💬 NLP: spaCy, NLTK, Hugging Face Transformers, OpenAI API 👁️ Computer Vision: VLMs, OpenCV, YOLO, SAM, SAM2, Point Cloud Library (PCL), Dlib 🎯 Reinforcement Learning: OpenAI Gym, RLlib, Unity ML-Agents 📈 Data Science & Big Data: Pandas, NumPy, Dask, Apache Spark, Hadoop, Presto 🗄️ Data Storage: SQL, MongoDB, Cassandra, Neo4j, Dgraph ☁️ Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD (Jenkins, GitLab CI) 🚀 AI Deployment: ONNX, TensorFlow Serving, NVIDIA Triton, MLflow, FastAPI, Flask 💻 Programming Languages: Python, C++, C, MATLAB 🌐 Web Frameworks: React, Node.js, Flask, Django 🔧 Automation & CRM: Zapier, Make, Salesforce, HubSpot, Airtable, Notion ⚙️ Other Tools: Apache Kafka, Redis, RabbitMQ, Elasticsearch, Prometheus, Grafana ════════════════════════ ⭐ WHY CHOOSE ROBOLABS AI? 🏆 Award-Winning Excellence Backed by Microsoft • Trusted Global Leader • Recognized for Consistent Quality 🌍 Global Presence, Local Commitment Team Members Worldwide • Seamless Support • Round-the-Clock Availability 📊 Proven Track Record 100+ Successfully Delivered Projects • AI-Driven Automation • Intelligent Systems ════════════════════════ ✨ WHAT SETS US APART 🏢 Enterprise-Grade Solutions: From MVP to production systems handling millions of users 🔄 Complete AI Implementation: End-to-end development, deployment, and maintenance 🎯 Industry Expertise: 100+ successful projects across Fortune 500 companies and fast-scaling startups 🚀 Cutting-Edge Technology: Using 2025’s breakthrough AI models and frameworks ════════════════════════ At Robolabs AI, we blend technical expertise with industry insights to create AI solutions that transform your business.

Hello, I'm Tam 👋 - 7+ years of experience in Deep Learning, Computer Vision, LLM, and Generative AI. - 3+ years of experience in AI Automation, RAG, AI Agents. - Tech stack: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Docker, CUDA, AWS, Modal, DeepStream, Javascript/TypeScript, NodeJS, NextJS, ReactJS, Electron, Tauri, PyQt - Built high-performance real-time object detection systems with NVIDIA DeepStream for edge and GPU deployment. - Developed OCR & document understanding pipelines for scanned documents, engineering drawings, and forms. - Built LLM/VLM-powered AI applications, including multimodal assistants, RAG systems, image analysis, and AI inference APIs. Let's turn your AI idea into a production-ready product.