🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

Hit me up for a free consultation or Audit. Most AI projects fail not because of bad ideas, but because nobody builds the right system behind them. I have delivered over 50 AI solutions across real estate, SaaS, healthcare and marketing. Not prototypes. Production systems. The kind that run daily, process hundreds of records and do not need me babysitting them. Clients describe me as committed to quality, clear in communication and someone who defines the right architecture before writing a single line of code. 𝗚𝗼𝘁 𝗮𝗻 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗯𝘂𝗶𝗹𝘁 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆? 𝗛𝗶𝘁 𝗜𝗻𝘃𝗶𝘁𝗲. Let's figure out the right architecture together. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: Automated 235+ daily CRM records for a real estate firm using AI powered inbound calling agent and multi-agent LangGraph orchestration. Built a Retrieval-Augmented Generation (RAG) knowledge assistant on Azure OpenAI for a healthcare SaaS platform. Worked as a Senior Voice-AI system engineer, integrated Retell and ElevenLabs for an enterprise medical company. Fine-tuned Meta MusicGen on a 30,000 track sonic library using PyTorch and Hugging Face, deployed on AWS/GCP. If any of that matches what you are trying to build, send me an invite. I respond within 0 to 4 hours. 𝗠𝘆 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: LLM & AI Core LangChain, LangGraph, GPT-4, Azure OpenAI Service, Retrieval-Augmented Generation (RAG), LLM Prompt Engineering Voice & Conversational AI Conversational AI, Natural Language Processing, Twilio API, AI Agent Development Automation & Workflows n8n, Make, Zapier, GHL, Airtable and Business Process Automation ML & Deep Learning PyTorch, Hugging Face, Deep Learning, Computer Vision Cloud & Infrastructure Microsoft Azure, AWS, GCP, CI/CD ------------------------------------ Use these keywords to find me Keywords: Artificial Intelligence, Machine Learning, Python, LangChain, LangGraph, LLM Prompt Engineering, Retrieval-Augmented Generation, RAG, Azure OpenAI Service, Azure Cognitive Services, Microsoft Azure, GPT-4, Natural Language Processing, Natural Language Understanding, Chatbot Development, AI Chatbot, Conversational AI, Voice AI, Twilio API, AI Agent Development, API Integration, API Development, Automation, n8n, Make, Zapier, Airtable, Business Process Automation, Multi-Agent Systems, Generative AI, Generative Models, Hugging Face, PyTorch, TensorFlow, Deep Learning, Computer Vision, OpenCV, LlamaIndex, Semantic Search, Microsoft Graph API, Outlook API, SaaS, Cloud Computing, AWS, GCP, Google Cloud Run, Next.js, Vercel, Docker, React, JavaScript, AI Builder, AI Model Integration, Web API, Botpress, Voiceflow, Stack AI, Nanonets, Microsoft 365 Copilot, Stable Diffusion, Audio Processing, Music Generation, Database Architecture, Architecture Consultation

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

AI Engineer building production-ready Voice AI agents, RAG chatbots, LLM apps, ML models, Computer Vision systems & AI automation systems. Low-latency, scalable, deployed end-to-end. Zero to live production - not demos. Plenty of developers can hook up an API and ship something that looks impressive in a screen recording. I build AI systems that survive real production traffic - stable integrations, clean architecture, monitoring, and reliability that holds past the first 100 users. I work with startups and founders to take AI ideas from concept to live deployment - voice AI agents, RAG chatbots, custom ML models, computer vision pipelines, AI SaaS platforms, and agentic automation workflows. My Toolkit Real-Time Voice AI LiveKit • Twilio (Voice + SIP) • Retell • Vapi • Deepgram • Whisper • ElevenLabs • WebRTC • FastAPI → AI receptionists, appointment bookers, outbound sales callers, inbound support, multilingual voice agents. Sub-second latency, interruption handling, CRM integration. RAG Systems & LLM Applications LangChain • LangGraph • LlamaIndex • Pinecone • FAISS • ChromaDB • Qdrant • Weaviate • pgvector OpenAI GPT-4 / Realtime API • Anthropic Claude • AWS Bedrock • LLaMA • Mistral • Groq • Gemini → Document chatbots, knowledge assistants, enterprise search, hybrid retrieval, hallucination mitigation. Machine Learning & Deep Learning PyTorch • TensorFlow • Scikit-learn • Hugging Face • Transformers • CNNs • RNNs • LSTMs → NLP, classification, prediction, sentiment analysis, fine-tuning (LoRA, QLoRA, PEFT). Computer Vision OpenCV • YOLO • Vision Transformers • CNN pipelines → Object detection, image classification, defect detection, OCR, real-time CV. AI Agents & Automation n8n • LangChain • LangGraph • CrewAI • AutoGen • OpenClawAI → Multi-agent systems, tool-calling agents, autonomous workflows, browser-use agents, CRM + email automation, business process orchestration. Browser Automation & Scraping Playwright • Selenium • BeautifulSoup • Scrapy Data Automation Google Sheets API • Pandas • openpyxl • gspread Backend & APIs Python (FastAPI, Flask) • Node.js • REST APIs • WebSockets • PostgreSQL • MongoDB • Redis Cloud & Deployment AWS (EC2, S3, Lambda, Bedrock) • Docker • RunPod • vLLM • CI/CD • GPU inference Why Clients Hire Me Over Cheaper Options ⚡ Working prototypes in days, production systems on realistic timelines - no shortcuts on monitoring or error handling. 🎯 Production-grade, not Jupyter-grade - every project ends with a deployed system. 💬 Response within the hour during working hours. No ghosting. 🛡️ Honest scoping - if your idea won’t work, or a cheaper approach gets you 90% there, I’ll say so before you sign. 📚 Clean handoffs - documented code, Loom walkthroughs, architecture notes. 🚀 Latency obsession - for voice AI, milliseconds decide whether users stay or leave. What Clients Say ⭐ “Bahodir was fast and responsive. Highly recommended.” - AI Agent for Language Learning project Clients consistently highlight: - Fast communication & responsiveness - Reliable execution and clean delivery - Ability to quickly turn ideas into working products - Production-ready systems instead of unfinished prototypes Industries I've Built For • Legal / Customs Built a customs clearance chatbot for the Uzbekistan government - answering complex regulatory queries that previously required in-person office visits. • Real Estate Built a Voice AI agent integrated with a custom knowledge base - handling property inquiries 24/7 and replacing manual call handling. • Education / EdTech Built an automatic crossword generation system for an education center - turning hours of manual content creation into seconds. Whether or not your industry is listed, the patterns repeat - describe the problem, I’ll map it to a system I’ve built. 💡 I Can Help You Build - Real-time voice AI agents (receptionists, bookers, sales, support) - Multi-agent AI systems with CrewAI / OpenClawAI - RAG chatbots over your documents or knowledge base - AI SaaS MVPs - full stack + deployment - Custom ML & deep learning models - Computer vision systems - Browser automation & web scraping pipelines - AI workflow automation (n8n + LLMs + your CRM) - Production LLM deployment - GPU inference, scaling, monitoring 📩 Message me with what you want to build. I’ll reply fast and tell you honestly whether I’m the right fit.

⚪️ Built AI systems used by startups handling thousands of daily operations ⚪️ AI Developer | Python Developer AI | Web Scraping Python ⚪️ OpenAI, Python, FastAPI, RAG, LLM, Web Scrapping ⚪️ AI agents, automation systems, and scalable backend architecture for real business workflows I build AI powered products, automation platforms, and intelligent backend systems for startups and SaaS companies. As an AI developer, python developer, web developer, and automation engineer, I work on production systems that automate workflows, process large amounts of data, and integrate AI into real business operations. My experience includes ai development, chatbot development, machine learning systems, GPT integrations, web scraping platforms, and scalable backend architecture. I combine backend engineering, machine learning, and product focused thinking to create systems that solve real operational problems. Python AI Agent Development ✔️ Autonomous AI agents with reasoning and tool calling ✔️ Chatbot developer for SaaS and internal workflows ✔️ Multi agent orchestration and task automation ✔️ GPT 3, OpenAI, and open ai api integrations ✔️ AI lead generation and workflow automation systems ✔️ AI assistants connected to real business tools AI Developer RAG & Knowledge Systems ✔️ RAG pipelines with embeddings and vector databases ✔️ Enterprise knowledge assistants and analytics tools ✔️ AI chat over documents and internal data ✔️ Structured retrieval and intelligent search systems ✔️ Data extraction and processing automation Machine Learning & AI Features ✔️ Machine learning pipelines and prediction systems ✔️ Machine learning developer for AI driven products ✔️ NLP, deep learning, and intelligent automation ✔️ Computer vision and image recognition workflows ✔️ AI video processing and content automation ✔️ Data scientist and data analyst pipelines Automation & Integrations ✔️ API development and backend integrations ✔️ CRM synchronization and automation systems ✔️ WhatsApp API and Discord bot developer solutions ✔️ Job application automation systems ✔️ Social AI Developer media marketing automation tools ✔️ Selenium automation and browser workflows ✔️ Lead generation web scraper systems ✔️ Python web scraping and data mining pipelines ✔️ Data entry and workflow automation bots Backend & Web Development ✔️ AI Developer Python developer backend with FastAPI and Django ✔️ Backend developer for scalable AI systems ✔️ Full stack developer for SaaS products and dashboards ✔️ React developer and modern frontend integrations ✔️ PostgreSQL, Redis, async APIs, and background workers ✔️ Web design focused product architecture ✔️ Figma to production implementation workflows ◾️ Focused on ai development, machine learning, chatbot development, web scraping, backend engineering, AI automation, and scalable SaaS infrastructure. As a AI Developer Python and machine learning developer, I focus on backend architecture, AI automation, and data-driven systems. I’ve worked as data scientist and data analyst on projects involving computer vision, fractional cto, natural language processing, ai rag pipelines I focus on ai python developer backend systems, chatbot development, AI automation, and data-driven platforms. I don’t take projects focused only on wordpress developer work, PHP stacks, or marketing tasks, Swift and Flutter integrations for mobile products, php laravel, pinterest marketing, journalist,product manager, etsy marketing, deal closer, Laravel, PHP Laravel Have an AI project, chatbot idea, or machine learning system to build? Send an invite with a short description, and I’ll suggest the best approach.

As a Top Rated Plus AI & Machine Learning Engineer (Top 3% on Upwork) with over 6 years of experience and a 100% Job Success Score, I deliver end-to-end enterprise AI implementations. My expertise spans heavy-compute machine learning, embedded IoT ecosystems, real-time voice intelligence, and autonomous agentic workflows. Having built intelligent applications, vision systems, and predictive pipelines for over 50 global clients across Fintech, Healthcare, Robotics, IoT, and SaaS, I prioritize structural risk mitigation, deterministic behavior, and clear data lineage to guarantee real corporate ROI. My practice focuses on engineering production-grade Retrieval-Augmented Generation (RAG) architectures and autonomous multi-agent networks governed by deterministic software frameworks. To ensure high factual precision and secure role-based access control, I replace naive chunking with advanced relational data indexing, multi-stage re-ranking, and custom self-RAG verification loops that systematically eliminate model hallucinations and minimize token overhead. When building multi-agent ecosystems to execute complex, multi-step business logic, I implement clean state transitions, persistent cross-session memory management, and secure tool invocation. This architectural discipline ensures that autonomous units handle real-world operational friction gracefully and self-correct without entering infinite execution loops. This commitment to low-latency orchestration and structural reliability extends directly to my real-time conversational Voice AI deployments. I build human-grade voice agents for inbound qualification and outbound telephony centered on conversational fluidity. By optimizing the complete text and speech streaming pipelines, I achieve response times under 600ms while establishing strict barge-in rules and turn-taking logic that accommodates natural human pauses. I anchor these Generative AI systems with deep foundational roots in traditional statistical machine learning, deep learning, and physical edge compute. Whether training custom neural networks or engineering real-time computer vision architectures for digital and edge devices - including past infrastructure deployments for rapid-growth tech startups - my code enforces mathematical and computational efficiency. I ensure hardware streams, embedded sensors, and unstructured data lakes feed cleanly into automated ETL pipelines, yielding actionable analytics and enterprise business intelligence dashboards. ============================================================================= TECH STACK & KEYWORD MATRIX: [ Agentic & RAG Orchestration ]: LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, Custom FSM Runtimes, Multi-Agent Architecture, Self-Correction Loops, Model Context Protocol (MCP) [ Enterprise Voice AI & Telephony ]: Vapi, Retell AI, ElevenLabs, Cartesia, Deepgram, AssemblyAI, Twilio API, SIP Trunks, WebRTC Audio Streaming, Turn-Taking Logic, Conversational Voice Agents [ LLMs, SLMs & NLP Ecosystem ]: GPT-4o, Claude 3.5 Sonnet, LLaMA 3, DeepSeek, Mistral, OpenAI API, Hugging Face, Natural Language Processing (NLP), Advanced Prompt Engineering, Model Routing Layers, Small Language Models (SLMs) [ Machine Learning & Computer Vision ]: TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, Deep Learning, Image Processing, Spatial Intelligence, Object Detection, Semantic Segmentation, Data Science [ Edge Computing & Hardware Integration ]: Embedded Systems, Robotics, Embedded IoT, Real-Time Sensing, Physical Computing Architecture [ Cloud Infrastructure, MLOps & Data Engineering ]: AWS (Lambda, SageMaker, EC2, S3), Serverless Architectures, Microservices, N8N, Make, Automated API Integrations, SQL, Vector Databases (Qdrant, Pinecone, Milvus, pgvector), Neo4j Graph Databases, Advanced Data Analytics, BI Dashboards, Business Intelligence ============================================================================= FULL-STACK INTEGRATION & APPLICATION LAYER: I provide end-to-end full-stack integration to ensure intelligence is delivered seamlessly. I build robust Python and Node backends, design secure RESTful or GraphQL APIs, manage stateful data synchronization, and construct clean, responsive user interfaces. I handle the entire software lifecycle so your AI systems run flawlessly within your existing application ecosystem. PROJECT LIFECYCLE ROLES I'M AVAILABLE FOR: - Principal AI Agent Architect & GenAI Consultant - Senior Machine Learning & Computer Vision Specialist - Full-Stack AI Engineer & Workflow Automation Expert - Embedded IoT / Robotics ML Integration Lead Daily Availability: 8-12 Hours/Day (Depending on project scope and enterprise requirements) If you have an active project requiring battle-tested machine learning, robust multi-agent automation, and a reliable technical execution partner, let's connect and discuss how to turn your concepts into a production-ready reality.

Senior Machine Learning engineer with over 10 years of extensive experience in Speech, Image, Text and Video processing applications. 💥Post-doc in Speech and Language processing focusing Automatic Speech Recognition. 💥PhD in Multimodal (audio-visual) speaker diarization including facial recognition, speaker identification, audio-visual synchronization. Research & Development experience in: 🔸Voice agents 🔸Text-to-speech models 🔸Chatbots (LangChain, LangGraph, CrewAI etc) 🔸Automatic Speech Recognition (ASR) 🔸Audio quality estimation (PESQ, STOI etc.) 🔸Facial recognition 🔸Speech Activity Detection (SAD) 🔸Audio-Visual Speaker Diarization 🔸Multiview panoramic imaging 🔸Image denoising and many more... Expertise in: 🔸PyTroch, Tensorflow 🔸Web GUI (Gradio, Dash/Plotly, Streamlit) 🔸Grid computing (Slurm, SGE) 🔸Multi-GPU training. 🔸Linux, Shell scripting 🔸AWS, Runpod 🔸SQL and BigQuery I always look to build a long term relationship with my clients. Looking forward to hearing from you. Thank you.

Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

✅ $300K+ Earned | Top Rated Plus | 8,000+ Hours | 38 Jobs | 100% Job Success I build production-grade LLM, RAG, and AI Agent systems. Not prototypes. Not API wrappers. Real Python pipelines, deployed on AWS, handling real traffic. If your AI needs to actually work in production, let's talk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM AND GENERATIVE AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ End-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, LLaMA, and Mistral. Full RAG pipelines over your documents, databases, and knowledge bases. AI Agents and multi-agent workflows built on LangChain, LangGraph, and LlamaIndex. LLM fine-tuning with LoRA, QLoRA, PEFT, RLHF, and DPO on open-source models. Prompt engineering, tool calling, memory patterns, guardrails, tracing, and LLM evaluation harnesses. If your team is moving an LLM prototype to production, this is exactly where I work. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ FASTAPI AND DJANGO BACKENDS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FastAPI and Django are my backend stack of choice for AI-powered services. → Async REST APIs: FastAPI + Pydantic + SQLAlchemy + PostgreSQL → Scalable Django backends: DRF, Celery, Redis, multi-tenant SaaS architecture → FastAPI as the serving layer for LangChain, RAG, and agent endpoints → Auth systems: JWT, OAuth2, RBAC → Microservices, Docker, Kubernetes, CI/CD via GitHub Actions and GitLab CI → Swagger / OpenAPI documentation, clean architecture, full test coverage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙️ VOICE, AUDIO, VIDEO AND TEXT AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Voice AI agents and real-time speech pipelines (Whisper, AssemblyAI, Deepgram, ElevenLabs, VAPI, Retell AI) → STT / TTS integration, NLP, NER, and multimodal LLM pipelines → Computer Vision: YOLO, OpenCV, CNNs, Vision Transformers → Diffusion pipelines and image / video generation workflows → Audio transcription, classification, and processing at scale ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 ML, MLOPS AND VECTOR SEARCH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ML Stack: PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost Vector DBs: Pinecone, Weaviate, Milvus, FAISS, pgvector, Elasticsearch Serving: vLLM, TGI-style inference, batching, caching, routing, streaming responses MLOps: MLflow, DVC, Prefect, Ray, eval harnesses, regression testing, tracing Cloud: AWS (SageMaker, EKS, EC2, Lambda, Bedrock, DynamoDB, CloudFront), Terraform, GPU providers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 WHAT MAKES ME DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI freelancers deliver a Jupyter notebook or a thin wrapper around an API. I architect and ship the full system. I have 14+ years of engineering experience and a background as a Fractional CTO and AI/ML Team Lead. I have led teams and personally written the code. I think in systems, delivery, and cost control, not just individual features. At Alethea AI, I was part of the team that built a cloud-native architecture on AWS capable of accommodating 30 million visitors, highlighted in an official AWS case study. The platform publicly closed a $16M token sale. That is the level of production reliability I bring to every engagement. ✔ Architecture designed for scale from day one ✔ Clean code, full documentation, and production observability ✔ I write the code myself, no offshoring your project ✔ Reliable delivery: timelines, milestones, and accountability ✔ Cost-controlled cloud and GPU workloads ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤝 WHO I WORK WITH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Startups validating AI-first MVPs fast. Scaleups moving LLM prototypes to production. Product teams that need a senior AI/ML engineer who can own the full stack, from fine-tuned model to FastAPI endpoint to deployed AWS service. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📩 Message me with your current state, timeline, and constraints. If I can help, I will tell you exactly how, usually within a few hours.

Is your AI system slow, unreliable, or breaking in production? You've likely built something that works in demos but fails at scale. I've spent 10+ years solving exactly this, first at Microsoft, then at Cambridge, and now for clients who need AI systems that actually work. I am an AI Engineer specializing in LLM integration, RAG pipelines, and multi-agent systems. Demonstrated expertise through key projects like developing a dynamic AI agent using LangChain for LLMs, building an AI platform querying multiple engines, and formal verification systems for AI reasoning. Proficient in Python, NLP, Machine Learning, and ML Security, ML Models, applying these skills to create robust, scalable AI solutions and clean backends for production-grade deployments. I am a PhD in Computer Science from the University of Cambridge and a former Microsoft engineer with 10+ years of experience building high-performance, secure, and reliable systems. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗯𝗲𝘀𝘁: • High-performance C++ systems (compilers, runtime) • AI systems (LLMs, RAG, agentic workflows) designed for real-world deployment • ML performance optimization (Triton, CUDA, PyTorch, TVM) 3x–5x speedups • Formal verification & program analysis (model checking, SMT) • Secure and trustworthy AI systems (LLM reasoning, validation, safety) • Blockchain & smart contract analysis (Ethereum, storage-level reasoning) 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲: ① Cambridge PhD (Computer Science) + 10 years at Microsoft (security & systems) ② 5 US patents in security and cryptography ③ 100% Job Success Score on Upwork, every project delivered ④ Production-grade AI systems, not just prototypes that demo well ⑤ Deep expertise across correctness, performance, and system design 𝗥𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: • Built an LLM agent over SQL with millions of records, delivered • Designed a formal verification pipeline for LLM reasoning using SMT solving, shipped in under a week • Optimized ML inference pipelines achieving 3x–5x throughput improvements • Built a RAG-based blockchain analysis system for smart contract vulnerability detection 𝗜𝗱𝗲𝗮𝗹 𝗰𝗹𝗶𝗲𝗻𝘁𝘀: • AI startups hitting scaling or reliability limits in production • Teams struggling with LLM output correctness or consistency • Web3 companies needing secure, formally verifiable systems • Engineers building serious backend or AI infrastructure If your system isn't performing the way you need it to, message me and let's fix it.