Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

🚀 PROFILE OVERVIEW Welcome to the forefront of AI and software innovation! As the Founder of Brain.Ai, I bring specialized expertise in Machine Learning, Generative AI, and full-stack development. I transform complex challenges into disruptive solutions, combining advanced LLMs, RAG systems, and comprehensive software development to reshape industries with cutting-edge technology. 💡 CORE EXPERTISE 🤖 AI & Machine Learning Expert in building context-aware virtual assistants using GPT-3/4 and LLaMA models, implementing RAG systems, and leveraging vector stores for enhanced knowledge retrieval. Proficient in CNNs, RNNs, GANs, and Transformers with TensorFlow and PyTorch, specializing in object detection, NLP, recommendation systems, and speech synthesis. 💻 Full-Stack Development Proven expertise in Python, Django, MERN, and MEAN stacks with a business-driven mindset. I deliver scalable, ROI-focused solutions with technologies including React, Redux, Node.js, Express.js, and NextJS, supported by both SQL and NoSQL databases. ☁️ DevOps & Cloud Skilled in AWS, GCP, Azure, Docker, and Kubernetes. Experienced in setting up CI/CD pipelines and implementing serverless architectures for optimal performance and scalability. 🌐 PROJECTS & INNOVATIONS - Pioneered context-aware assistants and RAG systems for enhanced document retrieval - Led transformative NLP projects advancing text understanding and generation - Delivered scalable SaaS products and web applications with business objectives at the core - Driving innovative AI solutions across industries focusing on enhanced user experiences 🔄 MY APPROACH My success formula combines technical expertise with methodical execution: - Deep requirements analysis before implementation begins - Agile development with transparent client communication - Rigorous quality assurance and performance optimization - Strategic scalability planning and dedicated post-launch support ✨ WHY CHOOSE ME? - Business-focused: I code with your goals and ROI in mind - Comprehensive expertise across AI and full-stack development - Long-term partner engaged beyond delivery for growth - Three months of free maintenance support after launch If you think I could be a good fit for your project, let's chat! Click "Invite to Job" or "Message" and let's discuss how I can bring value to your project. 🚀 Keywords: Full Stack Developer | Software Development | SaaS | React.js | Redux | Node.js | Express.js | Python | Django | MongoDB | MySQL | PostgreSQL | NextJS | AWS | Docker | Kubernetes | CI/CD | Tailwind CSS | RESTful APIs | GraphQL | Stripe | PayPal | Machine Learning | Generative AI | LLM | RAG | Computer Vision | NLP

-- Top 3% of AI Developers on Upwork (rated: Top Rated Plus) -- 5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation As a specialist in AI, I bring a strong theoretical foundation alongside practical expertise in machine learning, deep learning, and generative AI models. With over 5 years of experience, I excel in applying advanced AI techniques to solve complex problems in image generation, speech synthesis, and more. Key Areas of Expertise: - Deep expertise in generative AI models for image, video, and speech generation (GANs, VAEs, diffusion models). - Skilled in designing and fine-tuning LLMs and multimodal models, integrating image, text, and speech for advanced AI solutions. - Proficient in the full ML/DL pipeline: architecture design, model training, deployment, and continuous optimization. - Extensive experience in applying cutting-edge neural networks for computer vision, NLP, and audio processing. - Developed custom generative models for use cases including text-to-image, image-to-image, speech-to-text, text-to-speech, and voice cloning. - Implemented solutions for automated content generation, image captioning, visual understanding, speech synthesis, and multimodal fusion. - Focused on optimizing models for deployment on mobile, cloud, and edge devices using tools like PyTorch, TensorFlow, and NVIDIA frameworks. Research Experience: - Published work in reinforcement learning at ICML ("Inverse Constrained Reinforcement Learning") with applications in human feedback for improving generative models. - Expertise in Reinforcement Learning from Human Feedback (RLHF), a key technique used in training high-performance LLMs and generative models. Technical Skills: - Core Areas: Generative AI, Image Generation, Speech Generation, Multimodal AI, Computer Vision, NLP, OCR, Large Language Models, Big Data Analytics. - Libraries/Frameworks: TensorFlow, Keras, PyTorch, Hugging Face, OpenAI, CoreML, FastAPI, Flask. - Toolkits: PyTorch, Numpy, Pandas, CUDA, TensorFlow, OpenCV, Tflite. - Operational Tools: GCP, AWS, Kubernetes, Docker, Github, Gitlab.

🏆 🔝𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 on UPWORK😊 👋 Hi, I'm Aman. I help businesses automate repetitive work, reduce manual effort, and build scalable AI-powered systems using Python, AI Agents, OpenAI, Claude, n8n, OCR, and workflow automation. With 5,700+ hours of professional experience, I have built AI assistants, automation workflows, document processing systems, data extraction pipelines, API integrations, and custom business automation solutions for startups, agencies, and enterprise clients. 🏆 Top Rated Freelancer ✅ 100% Job Success ✅ Production-Ready Solutions ✅ Fast Communication ✅ Long-Term Support 💡 What I Can Help You With 🤖 AI Agents & Autonomous Workflows ⚡ n8n Automation 🧠 OpenAI, Claude & Gemini Integrations 📄 OCR & Document Processing Systems 🔍 Web Scraping & Data Extraction 📊 Lead Generation Automation 📚 RAG (Retrieval Augmented Generation) 💬 AI Chatbots & Virtual Assistants 🔗 API Development & Integrations 🐍 Python Automation Scripts 📈 Data Processing Pipelines ☁️ Cloud-Based AI Solutions 🛠 Technologies I Work With Python n8n OpenAI Claude Gemini LangChain CrewAI AutoGen Pinecone ChromaDB FAISS PostgreSQL Supabase Docker FastAPI Flask Selenium Playwright BeautifulSoup OCR Tesseract AWS 💼 Recent Project Experience ✔ AI Agents with memory and tool calling ✔ OCR systems for invoices, receipts, and documents ✔ Large-scale data extraction and scraping pipelines ✔ OpenAI and Claude-powered business assistants ✔ Workflow automation using n8n and custom APIs ✔ RAG applications connected to private business knowledge bases ✔ AI-powered document analysis systems My focus is simple: Build reliable AI systems that save time, automate operations, and deliver measurable business results. 📩 Let's build something valuable together.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Video Surveillance, CCTV, Computer Vision, OpenCV, AI – I build CCTV, object detection, and real-time video systems that scale. 14,700+ hours and $600K+ earned on Upwork. 100% JSS, Top Rated Plus. 15 years of senior engineering + Spec-First Agentic Engineering. ⚡ 𝗙𝗿𝗲𝗲 𝗣𝗥𝗗. 𝗠𝗩𝗣 𝗶𝗻 𝟳-𝟭𝟰 𝗱𝗮𝘆𝘀. 𝗙𝗿𝗲𝗲 𝗰𝗼𝗱𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗿 𝗮 𝟮-𝘄𝗲𝗲𝗸 𝘁𝗿𝗶𝗮𝗹 𝗼𝗻 𝗮𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲. ⚠️ Press the Invite button on my page and let's talk about your project. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 → VALT - enterprise CCTV and video surveillance SaaS. 770 organizations, 50K+ users, 2,500 IP cameras. Grew from a $1M launch year to $9M ARR. Motion detection, HIPAA/GDPR storage, 12-year partnership. → MindBox - smart video surveillance with AI analytics. Anomaly detection, facial recognition, and forensic search across 50+ deployments with live camera-map feeds. → Tennis analytics - a computer-vision pipeline that tracks players and the ball from match video for automated stats. → ALDA - generative AI course builder. Co-designed with 70+ U.S. educators; partner schools serve 500,000+ students. +20% educator efficiency. → BrainCert - world's first WebRTC + HTML5 LMS. $3M revenue, 100K+ customers, 500M+ classroom minutes. 𝗜 𝗔𝗺 𝗠𝗼𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗜𝗻 → Video Surveillance and CCTV - custom CCTV SaaS with secure storage, IP-camera ingestion, motion detection, and forensic search → Computer Vision and Object Detection - OpenCV, YOLO, TensorFlow, PyTorch for anomaly detection, face recognition, background blur, and incident alerts → AI Full-Stack Apps - OCR, real-time translation, autonomous agents, and object recognition on top of video → Video Streaming and Players - RTMP, HLS, WebRTC, sub-second latency, custom players on AWS → E-Learning, EdTech, and Virtual Classrooms - LMS and course authoring, curriculum and instructional design, live WebRTC and Agora classrooms, interactive whiteboards, AI grading and assessments, generative-AI courses, SCORM/LMS integrations 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝗽𝗲𝗰-𝗙𝗶𝗿𝘀𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 I work spec-first, not vibe-first. I write the technical spec and architecture before any code is generated. Then I drive AI agents (developer, tester, analyst) against strict guardrails to produce production-grade code. The hard parts I handle or verify myself: real-time computer vision, OpenCV detection pipelines, and high-load video backends. You get the speed of AI with the stability of a senior engineer. 𝗛𝗼𝘄 𝗪𝗲 𝗦𝘁𝗮𝗿𝘁 30-min discovery → spec-first plan with architecture and a ±10% estimate → AI dev environment with guardrails → MVP with CI/CD and a 2-week demo cadence. 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 → MVP from scratch - the fastest safe path to production with Spec-First Agentic Engineering → Team extension - I join as the lead on hard modules: computer vision, AI, video surveillance, WebRTC → Rescue mission - I fix, modernize, and stabilize existing codebases, including vibe-code cleanup 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗜 𝗨𝘀𝗲 𝗗𝗮𝗶𝗹𝘆 → Computer Vision and AI: OpenCV, YOLOv8, TensorFlow, PyTorch, Keras, Image Recognition, OpenAI API, Whisper, Deepgram, NLP → Video: WebRTC, Agora, FFmpeg, Wowza, Kurento, HLS/DASH, RTMP/RTSP → Backend: Node.js, NestJS, Express, Python (FastAPI), PHP/Laravel, C++ → Frontend: React, Vue, Angular, TypeScript → Infra: AWS, GCP, Docker, Kubernetes, PostgreSQL, MongoDB, Redis → Security: AES-256, HIPAA, GDPR, SOC II → EdTech: LMS/SCORM, virtual classrooms, interactive whiteboards, course authoring, quizzes and assessments, AI grading 𝗪𝗵𝘆 𝗙𝗼𝗿𝗮 𝗦𝗼𝗳𝘁 100% Upwork JSS · 914 jobs · $10M+ earned · 401K+ hours · 625+ projects since 2005 · 400+ clients across 17+ countries · Top WebRTC Developer 2022 and Top Telecom Developer 2024 · 1 of 400 devs passes our internal selection · estimates within ±10% of actuals. 𝗖𝗹𝗶𝗲𝗻𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 "We've been working together for 10 years and continue. Fora Soft planned and built our entire Wowza-based video surveillance SaaS from scratch across web, iOS and Android." - Dustin, CTO @ VALT (50,000 users, 770 orgs, 2,500 IP cameras) ⚠️ Press the Invite button or message me – I'll send back an SRS, an estimate, and the fastest safe path to production.

𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I build AI-powered systems that automate real business workflows using LLMs, agents, and modern automation tools. With 7+ years of experience in AI/ML and data engineering, I now specialize in designing and deploying production-ready AI solutions using ChatGPT, LangChain, and workflow automation platforms. I focus on delivering systems that don’t just “look good” they save time, reduce manual work, and scale operations. 🔧 What I Can Help You Build ✔ AI Agents for business automation (multi-step workflows) ✔ ChatGPT / OpenAI integrations (custom apps, APIs, tools) ✔ RAG systems (document Q&A, knowledge bases) ✔ AI chatbots for customer support & internal tools ✔ Workflow automation (Zapier, Make, APIs) ✔ NLP systems (classification, routing, extraction) ✔ End-to-end AI pipelines (from idea → production) ⚙️ Tech Stack OpenAI (GPT-4 / ChatGPT API) LangChain / LLM Agents Python (FastAPI, backend systems) Zapier / Make (automation) Vector DBs (Pinecone, FAISS) REST APIs & integrations 💼 Recent Work Includes Built AI chatbot handling real customer interactions Developed LLM-based routing system for NLP classification Automated workflows using ChatGPT + Zapier Deployed LangChain-based document AI system Integrated LLMs into production APIs 🎯 What You Can Expect Clean, scalable, production-ready solutions Strong communication and fast turnaround Focus on business outcomes (not just code)

Hello, I’m the founder of StreamTech, with over 11,000 hours across more than 100 AI and machine learning projects since 2016. I bring deep expertise in computer vision and edge AI ranging from object detection, tracking, and OCR to pose estimation, generative image processing, and event detection in sports feeds. I also excel in building intelligent AI agents and LLM driven chatbots that leverage multi turn dialog, RAG enabled memory systems, and API orchestration. My offerings extend beyond AI models and edge deployment. I provide full mobile experience solutions, creating cross platform React Native apps complemented by thoughtful UI/UX design. Whether it's crafting intuitive interfaces, responsive layouts, or seamless animations tailored for both iOS and Android, I ensure that the user experience complements the underlying AI technology. I guide projects end to end, collecting and labeling data, architecting and training models with PyTorch and TensorFlow, and deploying solutions either in the cloud (AWS, GCP) or on edge devices like Jetson Nano, Xavier, and Orin using DeepStream SDK. My engineering stack includes Python, C++, OpenCV, MediaPipe, OpenPose, SMPL, GANs, Stable Diffusion, Docker, and Kubernetes. At StreamTech, our mission has always been to harness cutting edge tech for meaningful business impact. By blending AI innovation with elegant mobile design, I help entrepreneurs and managers accelerate product development. If you're envisioning a mobile solution powered by CV or conversational AI, or need an AI agent interface that shines on mobile, let’s connect and explore how we can craft something exceptional together. Cheers!!

I am an AI Researcher with numerous publications including IEEE TNNLS, MICCAI, CBMS, etc. I also have a YouTube channel named "Idiot Developer", where I upload videos related to deep learning. I also write blog posts on my website idiotdeveloper.com. ✅ Projects: 1. Human Face Landmark Detection - using pre-trained MobileNetv2 2. Multiclass Face Segmentation - using UNET. 3. Dog Breed Classification - using pre-trained ResNet50 4. Human Parsing using Crowd Instance-level Human Parsing (CHIP) dataset 5. Brain Tumor Segmentation 6. GAN to generate Anime 7. Retina Blood Vessels 8. Background Removal from Human Images and Videos 9. Implemented various segmentation architectures: U-Net, ResU-Net, DeepLabV3+, DoubleUNet, U2-Net and more. 10. Lung Segmentation 11 Autoencoders

Hello, I'm Tam 👋 - 7+ years of experience in Computer Vision, Deep Learning, 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.