I turn camera feeds into production AI systems, real-time object detection, video analytics, edge deployment. 45+ shipped with my Brainy Neurals team. Most AI camera projects die in the gap between training and shipping. Training a model is the easy 10%. The hard part is compiling for edge hardware, hitting latency budgets, and keeping it running under field conditions, dim lighting, dropped frames, flaky networks. That's the layer I architect personally, with my team handling delivery. Across 45+ production deployments in construction, manufacturing, sports, surveillance, and healthcare, the systems run on NVIDIA Jetson, Qualcomm, and custom low-power silicon. Edge-optimized with TensorRT, orchestrated with DeepStream, monitored in production. Backed by NVIDIA Inception Partner, AWS Activate, and Microsoft for Startups, the three partnerships that tend to matter when enterprise procurement is reviewing the architecture. When a project needs more than cameras, document intelligence, RAG, LLM applications woven into a vision workflow, the Brainy Neurals team ships those too. Typically as extensions of the primary system, not as standalone contracts. How I engage: discovery call to pressure-test feasibility, scoped architecture document before any code is written, then delivery with my team executing and me owning every architecture decision. Projects move fastest when I can see the cameras, the environment, and one sample of the data in the first call. The single thing that separates me from most CV profiles you'll see on Upwork: I've shipped 45 production systems that are still running, which means I know what actually breaks in the field versus what only breaks in a notebook. That's the experience I bring to every architecture call. If you're building a camera-AI system that has to work in a real environment, and you want an architect who stays on the project through delivery, send me a message. Describe your use case, the environment it runs in, and your rough timeline. I respond within 24 hours with an honest read on whether I can help, how I'd approach it, and what a realistic delivery timeline looks like.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

Build production machine learning systems: forecasting, NLP, computer vision, and tabular models, plus the MLOps to deploy and monitor them, so the model keeps working after it ships. Machine Learning Engineer with 8+ years taking ML projects from raw data to live deployment in Python and AWS. Shipped models across telecom, automotive, energy, renewables, shipping, and e-commerce: demand forecasting, customer scoring and segmentation, anomaly detection, NLP, and decision automation. 🔑𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive modeling, classification, regression, forecasting, time series, clustering, anomaly detection, recommendation systems, feature engineering 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, Pandas, NumPy, Scikit-learn, statistical analysis, data wrangling, EDA, A/B testing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏 & 𝐂𝐕: TensorFlow, PyTorch, neural networks, text classification, embeddings, image classification, object detection 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝: AWS (SageMaker, EC2, S3, Lambda), Docker, MLflow, CI/CD, model deployment, monitoring, scalable pipelines 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Flask, Django, REST APIs, n8n, Zapier, Make, webhooks 𝐀𝐈, 𝐋𝐋𝐌 & 𝐁𝐨𝐭𝐬: GPT-4, Claude, RAG, LangChain, LangGraph, vector databases, prompt engineering, AI agents, chatbot development, conversational AI, Telegram/Discord/Slack bots Tell me your data and the outcome you need. I'll reply with how I'd approach the model and a rough timeline, so you know what working with me looks like before you commit.

I build AI-powered automation systems using n8n, Make, Vapi, Retell, and modern LLM workflows to help businesses automate operations, communication, and customer experiences. My work focuses on creating scalable low-code/no-code automation ecosystems that combine AI agents, APIs, voice systems, and workflow orchestration into reliable production-ready solutions. What I specialize in: ✔ AI Automation Systems ✔ n8n & Make Workflows ✔ Vapi & Retell Voice AI Agents ✔ Agentic AI Workflows ✔ LLM Integrations & Prompt Engineering ✔ No-Code / Low-Code Automation ✔ API & Webhook Integrations ✔ CRM & Operations Automation ✔ AI-Powered Lead Qualification ✔ Multi-Step Workflow Orchestration AI & Automation Stack: - OpenAI / GPT - Claude - Gemini - Vapi - Retell AI - n8n - Make - Bubble - Airtable - Notion - Webhooks & APIs Types of systems I build: - AI voice receptionists & call agents - Content automation pipelines - CRM and lead routing automations - AI chat and support systems - Internal operations workflows - Multi-platform integrations - Data processing and reporting automations Whether it’s automating repetitive processes, integrating AI into customer workflows, or building intelligent agent systems, I aim to create solutions that save time, reduce manual effort, and improve operational efficiency.

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

🚀 Hello! I’m Abdelmalik, Quant Trader & Quantitative Researcher, building production-grade buy-side trading and pricing systems, from signal generation to live execution under real-market constraints. I design end-to-end quantitative engines that operate reliably with noisy or delayed data, microstructure effects, latency budgets, and strict forward-only decision rules. My work is desk-oriented: models are judged on robustness, execution quality, regime stability, and deployability. I work with clear milestones, written acceptance criteria, reproducible deliverables, and transparent communication so that scope, validation results, and payment expectations are aligned before each project phase begins. 📈 Quant Trading, Research & Derivatives Systematic Trading & Execution. Live strategies with microstructure-aware gating: spread in basis points, aggressor ratio, upticks. Regime-adaptive logic across trend, volatility and liquidity. Risk-based sizing using ATR, staged exits and VWAP-aware liquidation. Broker OCO orders, circuit breakers and idempotent execution to prevent double fills. Deterministic replays and ghost A/B tests before production. 📊 Options & Exotic Pricing Pricing engines in C++ and Python using Black–Scholes, Heston, Dupire and Variance Gamma. Exotic structures including barriers and baskets. Numerical methods based on correlated and variance-reduced Monte Carlo, and PDEs using Crank–Nicolson with Rannacher smoothing. Volatility surfaces, smile reconstruction, robust proxy aggregation, walk-forward debiasing, affine scale correction and panel volatility guards. 📉 Validation & Results Strict walk-forward validation and multi-regime stress tests. R² between 0.83 and 0.92 on sector basket option pricers. RMSE below 1 basis point on barrier pricing grids. Sub-second C++ kernels with deterministic and replayable outputs. Stable pricing using 15-minute delayed options data. 🧠 Machine Learning Production Models built with Sklearn, XGBoost, PyTorch and TensorFlow. Probabilistic calibration using Platt scaling and isotonic regression, with Brier score and ECE monitoring. Drift detection using PSI, class-imbalance handling and robust cross-validation. GPU acceleration with CUDA and CuPy. Deployment via FastAPI and Streamlit. ⚙️ Quant Infrastructure High-performance C++17 cores using OpenMP, AVX and PyBind11, with parallel Monte Carlo and Cholesky correlation. Market data pipelines using Polygon with minute-level options and level 2 data. Production observability with Prometheus and Grafana SLOs, Redis-based event architecture, atomic snapshots and audit-safe logs. 🎓 Training: Columbia, Yale, Stanford, Wharton, NYIF 🌍 Availability: Remote worldwide or on-site Casablanca 🤝 Open to buy-side quant trading, systematic execution and advanced pricing or risk teams

Hi! I'm an expert backend developer. Python, Django, Flask, FastAPI, Node.js are my key skills. The work I care about is the stuff under the surface: APIs, databases, real-time systems, and lately, the infrastructure holding AI products together. Most of my backend work has been in FinTech and SaaS: insurance management, custom accounting software, behavioral finance. These tend to be the projects where the backend actually matters: real-time data, concurrent users, and zero tolerance for downtime. I've also worked across health, EdTech, and real estate. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: • Custom Python/Node solutions • API development and Integration • AI/ML Model Development (Supervised & Unsupervised Learning) • Natural Language Processing (NLP) and Computer Vision • AI-Powered Chatbots and Voice Agents • AI Automation and AI Agents • Data Analysis and Predictive Analytics • MLOps and Model Deployment using Docker, Kubernetes, or Cloud Platforms (AWS, GCP, Azure) 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python · Django · FastAPI · Flask · Node.js · Express.js · REST APIs · GraphQL · WebSockets • 𝗔𝗜/𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow · PyTorch · Keras · Scikit-learn · Computer Vision · NLP • 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴: Pandas, NumPy, Spark • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: FastAPI, Flask, Django REST Framework • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL · MySQL · MongoDB · Redis · Supabase · SQLite • 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS SageMaker, Azure ML, GCP AI Platform • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, Kubernetes, CI/CD Pipelines • Frontend (when needed): React · Angular · TypeScript 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? • Proven track record of delivering AI/ML solutions that drive business growth • Strong problem-solving skills with a focus on data-driven decision-making • Expertise in building AI-powered chatbots, voice agents, and AI automation • Collaborative and results-oriented approach for building custom backends. • Effective communication and timely project delivery Feel free to reach out to discuss how I can add value to your project.

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 build production-ready AI systems using OpenAI, LangChain, RAG pipelines, and AI agents. Sound with Computer Vision (CV). Recent work includes: • AI voice agents for healthcare • RAG chatbots with vector databases • AI SaaS products using Next.js + Python • Automation systems reducing manual support workload I focus on scalable, deployable AI applications not I have been building intelligent automation systems for over 8+ years. As a dedicated Full-stack and AI/ML Engineer, I have deployed production-grade solutions across E-commerce, Manufacturing, and Customer Service, helping businesses reduce costs, improve efficiency, and unlock new revenue streams. I deliver complete technical execution: from raw data transformation to LLM integration, RAG pipelines, and measurable business impact. If you are ready to build AI systems that cut support tickets by 60%, increase sales by 42%, and deliver real-time insights, send me a message or book a consultation directly from my profile. I respond immediately. ✅ 𝐊𝐄𝐘 𝐀𝐂𝐇𝐈𝐄𝐕𝐄𝐌𝐄𝐍𝐓𝐒: • Designed and implemented a recommendation engine that increased e-commerce sales by 42% in just 90 days • Deployed an AI-powered chatbot, cutting support tickets by 60% and significantly enhancing customer satisfaction • Developed a computer vision solution that reduced defect detection time in manufacturing by 70% • Transform raw data into measurable business impact and operational clarity • Connect fragmented systems and automate workflows for real-time decision-making ✅ 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐀𝐍𝐃 𝐀𝐈 𝐄𝐗𝐄𝐂𝐔𝐓𝐈𝐎𝐍 I build on the high-performance tools that top AI teams rely on: • Machine Learning & Predictive Models: Classification systems, regression analysis, forecasting models with proven ROI • Deep Learning & Computer Vision: CNNs, RNNs, Transformers for defect detection, image recognition, and NLP • Generative AI & LLMs: GPT-4, Gemini, Llama, LangChain, RAG pipelines, vector databases (Pinecone, Weaviate), agentic systems • NLP & Chatbot Development: Conversational AI, intent recognition, sentiment analysis, Open AI APIs, custom fine-tuning • Production & MLOps: Model serving, monitoring, cloud deployment (AWS, Azure, GCP), real-time inference • Automation & Integration: n8n, Make, API-first development, workflow orchestration Every tool in this stack exists to serve one outcome: an intelligent system that is accurate, scalable, and ready to generate real ROI from day one. ✅𝐖𝐇𝐀𝐓 𝐒𝐄𝐓𝐒 𝐌𝐘 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐀𝐏𝐀𝐑𝐓 Most developers hand you a generic chatbot or a broken script and disappear. I own the entire AI lifecycle: data preprocessing, model selection, custom logic, security review, and post-launch iteration. When your business needs to process thousands of customer queries or detect defects in real time, the architecture I build is designed to handle the load without failing. My development framework is built around three principles: Accuracy First (measurable business impact), Full Stack AI Ownership (from raw data to production API), and Business Alignment (I measure success by your cost reduction, conversion rates, and system uptime). ‼️𝐇𝐈𝐑𝐄 𝐌𝐄 𝐈𝐅 𝐘𝐎𝐔 𝐍𝐄𝐄𝐃‼️ 1. An AI Engineer who delivers production-ready models with enterprise-grade reliability 2. An LLM/RAG specialist who connects custom data sources to generative AI for context-aware responses 3. An Agentic System Architect who builds autonomous workflows that reduce manual processes 4. A Chatbot Developer who cuts support costs and improves customer satisfaction 5. A Technical Partner who acts as your "AI Right-Hand," communicates daily, and ships on schedule 𝐖𝐡𝐚𝐭 𝐦𝐲 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: High-accuracy, optimized models with 100% data privacy, modular architecture, and pre-deployment validation on every engagement. 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Integration of enterprise data into GPT/Claude/Gemini pipelines, automated document retrieval, and context-aware agents to give your business a competitive edge. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Real-time model serving connected to your existing workflows, ensuring your team never waits for insights or manual ticket resolution. I combine advanced AI capabilities with practical business solutions to build systems that create measurable impact. Each project is delivered with comprehensive testing, monitoring, and documentation to ensure scalable, maintainable solutions that provide long-term value. If you're looking to transform your operations with AI that actually delivers results, let's discuss your goals and the challenges you want to solve.

🏆 🔝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.