Your support team answers the same questions every day, and a generic bot only makes it worse. I fix that as an AI Chatbot Developer, AI Engineer, and System Architect: a chatbot built on your real data with Agentic RAG and AI LLM orchestration, engineered in Python, gives accurate, source-cited answers 24/7, with no human intervention. That is the difference between a real chatbot and a demo, and it is what an AI Engineer designs every Python system to deliver. Top Rated AI Chatbot Developer and AI Engineer on Upwork · 50+ AI Chatbot systems in Python · 10+ years software engineering · 100% Job Success · $100K+ earned across healthcare, finance, SaaS, and real estate. The principle behind every build: a chatbot that isn't grounded in your knowledge base is just a science project. So as an AI Engineer and System Architect, I ground each chatbot in your actual documents and databases with Python RAG systems, and I tune the Agentic RAG layer in Python until the AI LLM answers from your data, not from guesswork. Deep RAG tuning and AI LLM refinement is where an AI Engineer earns the result. What I build: Agentic RAG chatbots: context-aware chatbot answers drawn from your own documents over RAG pipelines with Pinecone, Qdrant, or Chroma, on Claude, GPT-4, or Llama 3, wired together in Python. Sources cited, no hallucinations, every AI LLM answer grounded in your data by an AI Engineer using RAG architecture. AI LLM-powered RAG workflows: Python with LangChain and LlamaIndex that read documents, extract insights, and automate multi-step work end to end with RAG retrieval, AI LLM retries and exception handling in Python. Engineered by an AI Engineer with RAG expertise and architected by a System Architect, with the chatbot layer sitting on a scalable Python RAG core. GenAI & NLP apps: a text, voice, and image chatbot with full conversation state, RAG grounding, and multi-platform deployment, shipped end to end in Python by a System Architect. Healthcare & telehealth: HIPAA-compliant Agentic RAG chatbot pipelines with strict data grounding and audit trails, built in Python by an AI Engineer and System Architect with real healthcare experience and RAG compliance. Rapid MVPs: a working RAG-powered chatbot in weeks, not months, delivered as clean, documented Python your team can own as a maintainable Python asset. That is how an AI Engineer builds a Python chatbot with RAG to hand off. Results: support costs cut 35-55% with an Agentic RAG chatbot · 100+ hours/month recovered through AI LLM automation and RAG efficiency in Python · up to 60% revenue lift from smarter chatbot engagement powered by RAG. These are the numbers an AI Engineer and System Architect are hired to move. How I work: Discovery, then Agentic RAG and AI LLM architecture in Python, then a fast MVP, then scaling for accuracy, speed, and multi-platform deployment. Because I work across every major AI LLM and open-source AI LLM provider through Python RAG systems, I'll tell you honestly whether Claude, GPT-4, or open-source fits your accuracy, cost, and privacy needs before you commit. What separates a real System Architect from an API-wrapper is designing each RAG chatbot for real data, real edge cases, and real production load in Python, the standard an AI Engineer is held to across every AI LLM and RAG implementation I deploy. Scalability and infrastructure: a chatbot that's fast in a demo and slow under load is a failure, so as a System Architect I design the data flow, caching, and failover in Python that keep your RAG chatbot fast at scale. An AI Engineer plans the Python RAG system before a line of code ships, and a System Architect owns the trade-offs between cost, latency, and accuracy. Tech stack: Python · Claude · GPT-4 · Llama 3 · LangChain · LlamaIndex · AutoGPT · Autogen · Pinecone · Qdrant · Chroma · Node.js · Django · TensorFlow · Docker · AWS · Azure, the Python toolkit an AI Engineer ships with. Want a RAG chatbot or Python product that's measurable, not a science project? Message an AI Engineer and System Architect who has shipped 50+ Python chatbot systems with RAG. As your dedicated AI Chatbot Developer, AI Engineer, and System Architect, I offer a free 30-minute consultation to map your Agentic RAG and AI LLM roadmap in Python before you spend a dollar. Bring your use case and a System Architect who grounds every chatbot in real data and clean Python will scope it properly. That is the commitment a System Architect stands behind, and the reason a grounded RAG chatbot earns the contract.

Hey, I'm Waleed. For over a decade, I've been the engineer trusted by companies from BlackBerry and Ford to high-growth startups to build reliable, scalable, and secure software. With a Bachelor's from McGill and a Master's from University of Waterloo, I bring a level of discipline that helps projects ship on time, avoid costly mistakes, and perform flawlessly at scale. Whether you're a startup launching your first MVP or an established business building a critical platform, I know how to get it done right. WHAT I BUILD I am a hands-on developer specializing in turning complex requirements into clean, functional, and maintainable code. 🔥AI Agents & Agentic Platforms: Leveraging the latest technologies to build effective AI Agents for businesses and startups 🔥 Full Stack Web & Mobile Apps: Building robust platforms from scratch using React, React Native, Python, and Node.js. 🔥 AI/ML-Powered Features: Integrating AI and machine learning to create smarter, more powerful applications. 🔥 Scalable SaaS Platforms: Architecting and developing multi-tenant systems designed for growth. 🔥 Custom APIs & System Integrations: Crafting fast, secure APIs and connecting disparate systems. 🔥 Cloud Infrastructure & DevOps: Setting up automated CI/CD pipelines and managing cloud resources on AWS, GCP, & Azure. MY PROCESS I follow a structured, transparent process to ensure there are no surprises and you get exactly what you need. 1. Discovery & Planning: Clear Scope Definition & Technical Planning 2. Architecture & Design: System Architecture & Database Schema Design 3. Agile Development: Iterative, sprint-based development with regular check-ins 4. Rigorous Testing: Comprehensive testing to ensure a bug-free experience 5. Deployment: Smooth, automated deployment to the cloud 6. Handover & Support: Full code handover, documentation, and optional ongoing support CORE TECH STACK I’m comfortable with a wide variety of tech stacks and can execute beyond the ones listed below as well - but everything below is a my sweet spot 💻Frontend React, React Native, Next.js, TypeScript 💻Backend Python (Django, Flask), Node.js (Express) 💻Agentic: n8n, Python, Langchain 💻Databases PostgreSQL, MongoDB, MySQL, Redis 💻AI/ML Scikit-learn, Pandas, TensorFlow, PyTorch 💻Cloud & DevOps AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD HOW I WORK WITH CLIENTS When I work with clients, I understand we are going on a journey to build something together - which means communicating transparently and actively on where things stand. 🤝 Build with Confidence: My background at BlackBerry means I build everything with a focus on security, stability, and quality. You can trust that the job will be done to the highest standard. 🤝 Clear, Honest Communication: I believe in proactive updates and clear explanations. You will always know the status of your project without having to ask. 🤝 True Full-Stack Versatility: From the database to the UI, from the server to the deployment pipeline - can handle your entire technical stack, saving you the time and cost of hiring multiple specialists. 🤝 A Partner in Your Corner: I take the time to understand your business goals. My aim is to provide practical advice and build a technical foundation that supports your long-term success. I'm available to chat pretty much every day of the week. Just let me drop me a message and lets bring your vision to life!🚀

Hi, I’m Tallal, a 𝐏𝐡𝐃 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐚𝐧 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 specializing in building production-ready Generative AI systems, LLM applications, NLP solutions, and data-driven software products using Python. I help startups and businesses turn ideas into real, working systems including 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆-𝐛𝐚𝐬𝐞𝐝 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. My focus is on building complete end-to-end AI products that combine intelligence + engineering + scalability, not just prototypes or models. 🚀 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 • AI-powered web and mobile applications • 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 apps using 𝐆𝐏𝐓, 𝐂𝐥𝐚𝐮𝐝𝐞, 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐚𝐧𝐝 𝐋𝐋𝐚𝐌𝐀 • 𝐑𝐀𝐆systems for search, knowledge bases, and AI assistants • 𝐀𝐈 agents and automation workflows for business processes • 𝐍𝐋𝐏 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 (chatbots, summarization, classification, sentiment analysis, extraction) • Machine learning models (prediction, recommendation, ranking, forecasting, analytics) • 𝐃𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 pipelines (cleaning, feature engineering, visualization, modeling) • 𝐢𝐎𝐒 & 𝐀𝐧𝐝𝐫𝐨𝐢𝐝 𝐚𝐩𝐩𝐬 integrated with AI, APIs, payments, and notifications • Full-stack AI products with 𝐛𝐚𝐜𝐤𝐞𝐧𝐝, 𝐀𝐏𝐈𝐬, 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, 𝐚𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 • Backend automation systems for real-world operations 🧠 𝐀𝐈 / 𝐌𝐋 / 𝐃𝐀𝐓𝐀 𝐒𝐓𝐀𝐂𝐊 • Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy • 𝐆𝐏𝐓-𝟒, 𝐂𝐥𝐚𝐮𝐝𝐞, 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐋𝐋𝐚𝐌𝐀 • LangChain, LangGraph, embeddings, vector databases • RAG pipelines, semantic search, prompt engineering, AI agents • NLP, classification, recommendation systems, predictive modeling • Data preprocessing, feature engineering, visualization 📱 𝐌𝐎𝐁𝐈𝐋𝐄 & 𝐁𝐀𝐂𝐊𝐄𝐍𝐃 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 • iOS (𝐒𝐰𝐢𝐟𝐭), Android (𝐊𝐨𝐭𝐥𝐢𝐧), Flutter, React Native • FastAPI, Django, Flask, Node.js, REST APIs • PostgreSQL, MongoDB, Firebase • Authentication systems, admin dashboards, real-time features • Push notifications, API integrations, scalable backend systems ☁️ 𝐂𝐋𝐎𝐔𝐃 & 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 • AWS (Lambda, EC2, S3, DynamoDB, Cognito) • Docker, Firebase, CI/CD pipelines • Cloud deployment, monitoring systems • Production-grade AI/ML systems and scalable infrastructure ⭐ 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 𝐌𝐄 𝐈 𝐜𝐨𝐦𝐛𝐢𝐧𝐞 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. I don’t just train models; I build complete software systems, including: • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 • 𝐀𝐏𝐈𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 • 𝐀𝐈 𝐥𝐨𝐠𝐢𝐜 𝐚𝐧𝐝 𝐦𝐨𝐝𝐞𝐥𝐬 • 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 • 𝐌𝐨𝐛𝐢𝐥𝐞 𝐚𝐧𝐝 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Everything is designed to be scalable, maintainable, and production-ready. I’ve worked across Generative AI systems, LLM integrations, RAG pipelines, NLP systems, machine learning models, data science workflows, mobile applications, backend platforms, automation systems, and real-time AI products. 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐰𝐡𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐬 𝐀𝐈, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐢𝐝𝐞𝐚 𝐭𝐨 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭.

I am an AI Engineer and Web Scraping expert who helps businesses automate complex workflows and extract hard-to-reach data. Unlike generic scripts that break easily, I build production-grade solutions that handle edge cases and scale with your needs. What I can build for you: → AI Agents: Custom chatbots and agents that can perform tasks, not just answer questions. Experience with LangGraph, RAG, and Vapi for voice agents. → Workflow Automation: I'll automate your tasks with n8n by creating custom workflows that integrate third-party APIs, handle complex logic, and trigger AI agents. → Web Scrapers: High-efficiency scrapers for dynamic websites (JavaScript-heavy, infinite scroll) and anti-bot protected domains. → Machine Learning and NLP: I'll build and fine-tune models for NLP tasks (Entity Extraction, Summarization) using PyTorch, TensorFlow, and HuggingFace Transformers. Tech Stack Languages: Python, C++, SQL Machine Learning: PyTorch, TensorFlow, Transformers, scikit-learn, OpenCV Generative AI & LLMs: LangChain, LangGraph, OpenAI API, RAG, ChromaDB, LanceDB, Pydantic AI, Mem0 Data Analysis: pandas, NumPy, Matplotlib, seaborn, Streamlit Backend: FastAPI, Flask, PostgreSQL, REST APIs, Postman, GCP Web Scraping & Automation: Scrapy, Selenium, Playwright, BeautifulSoup4, Requests Tools: Git, Bitbucket, Docker, Jupyter Notebook I am available for both short-term fixes and long-term development. Let's connect and get your automation running.

With 5+ years of experience and 150+ successful projects, I help businesses build high-performance Computer Vision and AI Agent systems that work in production — not just in theory. 🚀 What I Build ✔ AI Agents & Automation Pipelines (OpenClaw, LangChain, CrewAI, AutoGen) ✔ Semantic Search & RAG Systems using vector databases (FAISS, pgvector, OpenSearch) ✔ Personal AI Assistants with persistent memory & full system access ✔ Object Detection & Multi-Object Tracking (YOLO26, YOLOv12, YOLO11, YOLOv8, DeepSORT, ByteTrack, BOT-SORT) ✔ Real-Time Video Analytics & Surveillance Systems ✔ Face Recognition & Liveness Detection ✔ Image Segmentation (U-Net, DeepLabV3+, Semantic & Instance) ✔ OCR & Document AI (Tesseract, Google Document AI, PaddleOCR) ✔ Industrial Defect Detection & Quality Control ✔ Medical Image Analysis ✔ Traffic & Vehicle Detection Systems ✔ Retail Analytics & Customer Behavior Tracking ✔ Edge AI Deployment (Jetson, TensorRT, CUDA, Docker, AWS) ✔ Model Optimization (FPS, latency, memory efficiency) ⚡ What I Deliver ✔ End-to-end AI systems (data pipelines → model serving → deployment → monitoring) ✔ LLM and AI agent architectures (RAG, tool use, function calling, multi-agent workflows) ✔ Semantic search and vector database solutions (OpenSearch, FAISS, pgvector) ✔ Real-time computer vision systems (detection, classification, tracking, segmentation) ✔ Custom YOLO model training on your own dataset (YOLOv8, YOLO11, YOLO26) ✔ Multi-camera surveillance & smart monitoring systems ✔ Video analytics pipelines with real-time alerting & reporting ✔ Scalable AI infrastructure on AWS (SageMaker, EKS, Lambda, EC2) ✔ Production-grade APIs and backend services ✔ Optimization of existing AI systems (lower latency, reduced cloud costs, improved reliability) 🧠 Core Expertise Computer Vision · AI Agents · OpenClaw · Deep Learning · Machine Learning · Object Detection · Multi-Object Tracking · Image Segmentation · Real-Time AI · Video Analytics · OCR · Data Annotation · Edge AI · Generative AI · LLM Integration · RAG Systems 🛠 Tech Stack AI & Vision: PyTorch · TensorFlow · Keras · OpenCV · MediaPipe · YOLO variants · Faster R-CNN · Vision Transformers AI Agents: OpenClaw · LangChain · CrewAI · AutoGen · RAG · LLMs · GPT-4 · Gemini Tracking & Optimization: DeepSORT · ByteTrack · BOT-SORT · TensorRT · CUDA Backend & Deployment: FastAPI · Flask · Docker · AWS · Jetson · REST APIs 🌍 Industries I Serve Retail · Security & Surveillance · Healthcare & Medical · Industrial & Manufacturing · Traffic Management · Smart Cities · Agriculture · Sports Analytics 💡 Why 150+ Clients Chose Me ✔ 100% Job Success Score — Top Rated on Upwork ✔ 5+ years delivering real-world AI systems ✔ Production-ready, scalable solutions ✔ Strong optimization — high FPS, low latency ✔ Clear communication & on-time delivery 📩 Let's Work Together Looking to build a Computer Vision system, AI Agent, Object Detection model, or Real-Time AI solution? 👉 Message me now — I'll help you design the best approach and deliver a scalable, production-ready solution fast.

Data science Expert/Machine Learning/Deep Learning/NLP/COMPUTER VISION. --5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation AI & Generative Model Specialist | 5+ Years of Experience in Building Intelligent Solutions I am an AI specialist with over 5 years of hands‑on experience in machine learning, deep learning, and generative AI, bringing a solid research background and real‑world expertise to deliver cutting‑edge, production‑ready solutions. My work focuses on transforming complex ideas into intelligent, scalable systems that drive real business value. What I Bring to the Table Generative AI Mastery: Advanced expertise in GANs, VAEs, diffusion models for image, video, and speech generation. --LLMs & Multimodal AI: Skilled in designing, fine‑tuning, and integrating large language models with multimodal capabilities (text, image, and speech). --End‑to‑End ML/DL Development: From architecture design and model training to deployment and continuous optimization across platforms. --Diverse AI Applications: Delivered solutions for text‑to‑image, image‑to‑image, speech‑to‑text, text‑to‑speech, and voice cloning, along with content generation, image captioning, visual understanding, and speech synthesis. --Deployment Expertise: Optimizing AI models for cloud, mobile, and edge devices using PyTorch, TensorFlow, and NVIDIA frameworks for speed and efficiency. --Research & Innovation Published research in Reinforcement Learning at ICML (“Inverse Constrained Reinforcement Learning”) with applications in human‑in‑the‑loop generative model improvement. --Expertise in Reinforcement Learning from Human Feedback (RLHF)—a powerful technique used in building next‑gen LLMs and generative models. --Technical Toolbox --Core Areas: Generative AI, Computer Vision, NLP, Speech & Audio Processing, Multimodal AI, OCR, Large Language Models, Big Data Analytics --Frameworks & Libraries: TensorFlow, PyTorch, Hugging Face, Keras, OpenAI, CoreML --Tools & Platforms: FastAPI, Flask, CUDA, OpenCV, TFLite --DevOps & Cloud: AWS, GCP, Kubernetes, Docker, GitHub, GitLab Looking for an AI partner who can design, build, and deploy innovative solutions? Let’s bring your vision to life — whether it’s AI‑powered content creation, smart automation, or custom multimodal solutions, I can deliver results that exceed expectation Thank you for taking the time to review my profile.. I am very passionate about being a competent and contributing team player. I look forward to answering your questions and opportunities. Regards. Maryam khan

Upwork Expert-Vetted Talent (Top 1%) Microsoft Certified AI Engineer (Certification number: DEB32A-P5EE8C) Fullstack Developer | Software Engineer | Solutions Architect | AI Engineer | UI/UX Designer Tech Stacks Languages & Frameworks: C / C++ / C# / .NET / Unity / Java / JavaScript / TypeScript / Python / Rust / PHP / VB Razor Pages / CSS3 / Maven / Spring / Angular 2+ / React.js / Redux / jQuery / HTML5 / JSX / XAML / XML/XSLT / ASP.NET MVC / ASP.NET Core / .NET Framework / DevExpress UI / Spring Framework / Spring Boot / Spring Cloud / JavaFX / QT / QML Databases: MySQL / PostgreSQL / MSSQL / NoSQL / MongoDB / Azure Cosmos DB / Redis / Firebase Realtime Database DevOps & Containerization: Docker / Kubernetes / Azure DevOps AI & Machine Learning: Machine Learning / Deep Learning / TensorFlow / PyTorch / MATLAB / Azure Cognitive Services / Azure OpenAI Services / Azure AI Video Indexer / Azure AI Prompt Flow / Google Assistant SDK Blockchain Development: Ethereum / Binance Smart Chain / Solana / Stellar / Smart Contract Development / IoT Blockchain Technologies Additional Tools & Platforms: QuickBooks Online (Intuit) App Development / Shopify App Development Full Stack Development Services App Development: Mobile, Web, and Desktop Applications, Macros & Scripts Blockchain Development: Smart Contract Development and Blockchain Integration for Ethereum, Binance Smart Chain, Solana, and Stellar Algorithmic Trading: Algo Trading Platforms for Stocks and Cryptocurrency Dashboards & Analytics: Custom Dashboards, Metrics, and Business Intelligence Solutions Custom CRM & ERP Systems: Design, Development, and Integration of Customized CRM and ERP Solutions Database Management: Database Design, Optimization, Maintenance, and Integration for MySQL, PostgreSQL, MSSQL, NoSQL, MongoDB, and other leading database systems Software Integrations: Third-Party Software Integration and IT Security Implementations AI & Cognitive Services: Development of Machine Learning, Deep Learning, and Cognitive AI Solutions using Azure AI Stacks (Cognitive Services, OpenAI, Prompt Flow, Video Indexer) and Google AI SDK

🚀 I specialize in building intelligent systems and applications using Python, Machine Learning, and AI technologies. With a strong foundation in data science and AI, I help businesses leverage data-driven insights and automation to enhance their operations and decision-making processes. I have over 5 years of experience in developing machine learning models, AI-driven applications, and data analysis tools. My expertise includes designing and implementing scalable solutions that integrate seamlessly with existing systems Programming Languages: Python Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn Data Analysis: Pandas, NumPy, Matplotlib AI Technologies: Natural Language Processing (NLP), Computer Vision, Deep Learning Databases: MySQL, PostgreSQL, MongoDB Cloud Platforms: AWS, GCP, Azure DevOps: Docker, Kubernetes, CI/CD What I Build: Predictive models and analytics AI-driven chatbots and automation tools Custom machine learning solutions Data visualization dashboards Scalable AI applications I am committed to delivering high-quality, maintainable code and providing clear communication throughout the project lifecycle. Let's work together to transform your data into actionable insights and innovative solutions.

ML Engineer — Computer Vision, Claude/LLM Agents & Audio AI I build deep learning systems across vision, language, and audio — and ship them to production, not just notebooks. I've trained models from scratch, fine-tuned transformer architectures, and deployed to Core ML on real client engagements (including a 400+ hour model-build contract). 5.0 stars across every reviewed project. Computer Vision Image classification, detection, and feature extraction with CNN and transformer (ViT/AST-family) architectures. My core audio work runs on spectrogram based vision models, so the same deep-learning toolkit — convolutions, attention, transfer learning — carries directly into image and video tasks. Claude / LLM Agents & Automation AI agents, automation workflows, and reasoning assistants built on Claude and OpenAI APIs. RAG pipelines, tool-use/agentic systems, and LLM integrations that connect models to real data and real actions. Audio & Speech AI Instrument/audio classification, feature extraction, and transformer fine-tuning (AST, Wav2Vec2, HuBERT), plus generative audio with AudioCraft/MusicGen. Built multiple audio models end to end — clients describe me as central to their ML work. Deployment & Engineering TensorFlow/PyTorch → Core ML export, FastAPI inference services, and optimized real-time / batch pipelines. I handle the messy export and optimization steps end to end. Top Rated · 100% Job Success · 5.0 across all reviewed jobs. I move fast and build things that actually deploy.

I m a Machine Learning Engineer and AI Automation Expert specializing in Generative AI, LLM pipelines, RAG architectures, and Computer Vision platforms deployed in production for fintech, compliance, sales automation, and developer tooling. ◆ I build LLM & RAG systems that automate complex workflows, cutting manual effort by up to 70% ◆ I deploy Computer Vision platforms that process real-time video at production scale ◆ I integrate ChatGPT, Claude & open-source LLMs into enterprise products within days, not months ◆ I design AI Agent pipelines that reduce operational costs and eliminate repetitive human tasks ◆ I deliver clean, documented, production-ready code on time, every time If your enterprise team needs to automate workflows, scale AI infrastructure, deploy real-time AI systems, or integrate LLMs into existing products, I build solutions that work in production, not just in demos. Core Expertise: ◆ Generative AI & LLMs: LangChain, LangGraph, OpenAI, ChatGPT Integration, Claude, LLaMA3, Mistral, Mixtral, Prompt Engineering ◆ RAG & NLP Engineering: Retrieval-Augmented Generation, vector search, semantic pipelines, NLP Engineer workflows ◆ Computer Vision: MediaPipe, OpenCV, BlazeFace, real-time video analysis, microexpression detection, Deep Learning ◆ AI Agents & Automation: AI Agent design, multi-agent systems, autonomous pipelines, AI Automation, AI Integration, AI Chatbot Development ◆ Vector Databases: Pinecone, Milvus, ChromaDB, FAISS, Qdrant ◆ Model Optimization: PyTorch, TensorFlow, Hugging Face, vLLM, LoRA, QLoRA, RLHF, GGUF, GPTQ, AWQ, reduce inference latency ◆ Cloud AI Infrastructure: AWS Bedrock, AWS SageMaker, GCP Vertex AI, Azure, scale AI infrastructure to production ◆ Voice & Speech AI: ElevenLabs, Deepgram, NVIDIA Riva, Amazon Polly ◆ Backend & MLOps: Python, FastAPI, Flask, PostgreSQL, MongoDB, Kafka, RabbitMQ, Docker, MLOps Selected Projects: ◆ LiarLiar.ai: Real-time AI lie detection embedded into Zoom, Google Meet & Microsoft Teams. Uses Deep Learning and computer vision to analyze microexpressions from live video feeds and flag deceptive behavior instantly, improving model accuracy to detect subtle facial movements in real time. Stack: MediaPipe · BlazeFace · OpenCV · Python · WebSocket · FastAPI ◆ FundEvolve: AI compliance engine for the fintech industry. Parses financial advice videos and cross-checks them against Canadian regulations using RAG and NLP pipelines. Helps legal review teams automate workflows and cut operational costs on manual compliance checks. Stack: RAG · Milvus · OpenAI API · Python · FastAPI · FFmpeg ◆ Castor: Enterprise sales automation AI Agent integrated with Salesforce. Pulls enriched lead data from LinkedIn, Google & ZoomInfo and generates hyper-personalized outreach emails using ChatGPT Integration, helping sales teams scale AI-driven outreach at enterprise level. Stack: LangChain · OpenAI API · Salesforce API · LinkedIn Scraper · Python · PostgreSQL ◆ Aviator: Generative AI developer productivity suite for large code repositories. Automates code review, PR summarization, and testing workflows using LLM pipelines to accelerate engineering velocity and deploy to production faster. Stack: LLMs · LangGraph · GitHub API · Python · FastAPI · Docker Industries I've worked in: Fintech · Legal AI & Compliance · Sales Automation · Developer Tools · Healthcare AI Why enterprise teams work with me: Enterprise projects need more than technical skill. They need clear communication, thorough documentation, compliance awareness, and reliable delivery. I integrate with your team and processes from day one, whether you're in fintech, legal AI, or scaling a SaaS platform. Available 40+ hrs/week. Let's scope your project.