Across 12 years of software development and 9 years specializing in machine learning, I have built systems ranging from conversational chatbots to computer vision based grading tools, working with clients across different industries and problem types. What stays consistent across all of it is the same goal, moving past a model that performs well in isolation to one that performs well once it is actually in production. I have completed 104 jobs on Upwork, earned $200K plus, and maintained a 100% Job Success score with Top Rated status. Clients have used my work to ship products up to 3x faster while cutting $10K a month in engineering costs, using AI assisted development on top of solid computer science and machine learning fundamentals. I also hold a Master's degree in Machine Learning, and I currently lead a 45 engineer team building production AI and ML systems. What I actually build: Conversational AI and LLM systems. Chatbots and multi turn assistants built on RAG pipelines and vector search, with real guardrails so the model does not make things up when it does not know the answer. Computer vision pipelines. Detection, classification, and grading systems trained on real world data, not clean benchmark datasets. Natural language processing. Text classification, sentiment analysis, entity extraction, and low resource language OCR, including work on Urdu, where off the shelf tools mostly do not exist. Production ML infrastructure. Models packaged, monitored, and deployed with Docker, Kubernetes, and cloud infrastructure on AWS, Google Cloud, or Azure, including edge deployment where latency or hardware is constrained. Some of what my team has shipped: ✦ Avatare, a conversational AI platform handling multi turn dialogue in production ✦ Compugrade, an AI assisted autograding system for K12 education built on computer vision ✦ AffectCX, a live conversational chatbot supporting pharma sales teams ✦ A multimodal conversational AI platform combining RAG based retrieval with generation ✦ A computer vision grading pipeline for physical collectibles, handling classification and defect detection ✦ Urdu OCR, a low resource language OCR system built where almost no existing tooling was available Technical stack: Python, PyTorch, TensorFlow, Keras, JAX/Flax, OpenCV, Docker, Kubernetes, AWS, Google Cloud, Azure, ONNX, TFLite, CoreML AI and ML methods I work with: Large language models including GPT4, Claude, and Llama 2. Retrieval Augmented Generation and vector databases. Traditional ML including random forests, SVM, and KNN. Deep learning including CNNs, RNNs, GANs, transformers, and BERT. MLOps including CI/CD, model monitoring, and versioning. If you are dealing with a model that only works some of the time, a system that needs to move from prototype to something production ready, or a computer vision or NLP problem that off the shelf tools have not solved, message me. I typically reply within 2 hours and can prioritize urgent projects. I will tell you honestly whether AI is the right tool for the job before I agree to build anything.

I help businesses automate workflows, build AI chatbots, and deploy intelligent AI agents using n8n, Zapier, GPT-4, LangChain, and Python. With a 100% Job Success Score and 17+ completed projects, I deliver measurable results that save time and increase revenue. What I Do Best: AI Chatbots & Virtual Assistants: I build custom AI chatbots using GPT-4, Claude API, and LangChain for customer support, lead generation, and appointment booking. I recently built a sales chatbot that increased client response speed by 40%. Workflow Automation: I automate repetitive tasks and business processes using n8n, Zapier, and Make. I helped an e-commerce client save 15+ hours per week by automating order processing and inventory management. LLM Fine-Tuning & RAG Systems: I fine-tune large language models on custom data and build RAG (Retrieval-Augmented Generation) systems for enterprise knowledge bases and document Q&A. Computer Vision: I develop custom object detection and face recognition systems using YOLOv8, TensorFlow, and PyTorch for healthcare, security, and retail applications. Predictive Analytics: I build time series forecasting and market prediction models using deep learning techniques to help businesses make data-driven decisions. Why Work With Me? 100% Job Success Score 17+ completed projects 5-star ratings from satisfied clients Quick response time (0-4 hours) Fluent in English and Arabic End-to-end solutions from design to deployment I am ready to start your project immediately. Let's discuss how I can help you automate, optimize, and innovate!

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases. I'm a Machine Learning Engineer & AI Python Developer with 10+ years of experience building Machine Learning systems, AI solutions, AI Agents, and production infrastructure for SaaS, fintech, manufacturing, healthcare, and enterprise companies across the US and Europe. ✅ I work with a team of 90+ engineers across Machine Learning, AI, DevOps, and Backend disciplines. Delivering end-to-end Machine Learning solutions from data pipelines and model development to deployment, monitoring, optimization, and scaling in production environments. 🎯 What I bring to your product as a Machine Learning Engineer and AI Agent Developer: ✔️ Over 10 years of commercial experience as a Machine Learning Engineer, AI Developer, Python Developer, and Data Scientist, building scalable products for startups and enterprise organizations. ✔️ As a Machine Learning Engineer, I design and build production-grade Machine Learning systems using Python, delivering measurable business outcomes. My solutions have improved operational efficiency by up to 200% and reduced infrastructure costs by as much as 55%. ✔️ As an AI Agent Developer, I build AI Agent systems using LangGraph, CrewAI, OpenAI, Claude, Gemini, Llama, and Mistral. I develop multi-agent architectures for customer support, internal automation, and enterprise workflows. ✔️ My AI Agent experience includes AI sales agent systems, AI business development automation, AI agents for Etsy marketing workflows, and AI agents supporting Pinterest marketing operations. ✔️ As an AI Developer, I deliver AI copilots, Generative AI applications, and LLM-powered platforms using GPT-4, GPT-5, Claude, and open-source models integrated directly into business processes. ✔️ As a Machine Learning Engineer and Data Scientist, I specialize in NLP, semantic search, recommendation systems, anomaly detection, Named Entity Recognition, sentiment analysis, and intelligent automation. ✔️ As a Python Developer, I build Retrieval-Augmented Generation (RAG) systems using Pinecone, Weaviate, Chroma, and enterprise knowledge bases connected to SQL, PostgreSQL, MongoDB, and CRM platforms. ✔️ As a Machine Learning Engineer specializing in Computer Vision, I develop object detection, segmentation, OCR, and Document AI systems using YOLOv8, Detectron2, OpenCV, Amazon Textract, and Google Document AI. ✔️ As an AWS DevOps Engineer and Cloud Engineer, I design highly available infrastructure using AWS, Kubernetes, Docker, Terraform, Jenkins, Kafka, Prometheus, Grafana, and NGINX. ✔️ As an Azure DevOps Engineer, I deploy Machine Learning workloads using Azure DevOps, Azure Data Factory, Terraform, and cloud-native deployment strategies for enterprise environments. ✔️ I regularly collaborate with Data Scientists, Data Analysts, Web Developers, Product Managers, and engineering teams to transform prototypes into scalable production systems used by thousands of end users. 📊 My Achievements in Numbers: 🔶 Machine Learning Engineer for Enterprise Support Platform ▪️ Reduced support workload equivalent to 3 full-time employees. ▪️ Decreased response times from hours to seconds. ▪️ Improved customer satisfaction metrics by more than 40%. ▪️ Processed millions of support interactions annually. 🔶 AI Agent Developer for Fintech Company ▪️ Built and deployed multiple AI Agent workflows in production. ▪️ Automated more than 80% of repetitive operational tasks. ▪️ Reduced manual processing time by 70%. ▪️ Increased team productivity across multiple departments. 🔶 Machine Learning Engineer for Manufacturing Company ▪️ Reduced defect escape rates to near zero using Computer Vision. ▪️ Eliminated thousands of hours of manual inspection work annually. ▪️ Improved quality control efficiency by more than 150%. 🔶 AWS DevOps Engineer for SaaS Platform ▪️ Increased deployment frequency from 1 deployment per month to 120. ▪️ Reduced deployment times by 85%. ▪️ Lowered infrastructure costs by 55%. ▪️ Improved platform reliability and scalability across cloud environments. Why should you hire me as your Machine Learning Engineer? ▪️ 10+ years of experience in Machine Learning, AI Development, Python, and Data Science. ▪️ 50+ Machine Learning and AI projects successfully delivered. ▪️ 90+ engineers available for large-scale engagements. ▪️ Experience across SaaS, fintech, healthcare, manufacturing, and enterprise industries. ▪️ Expertise in Machine Learning, AI Agents, Computer Vision, NLP, RAG, and Generative AI. ▪️ Strong background in AWS, Azure DevOps, Kubernetes, and Terraform. ▪️ Hands-on experience taking Machine Learning and AI products from concept to production. If you're looking for a Machine Learning Engineer, AI Agent Developer, AI Developer, Python Developer, or Data Scientist who can design, build, deploy, and scale production-ready AI systems.

🎯 Send me a sample of your video or image data - I’ll outline the exact CV architecture to turn it into a production pipeline. Top 1% Computer Vision Engineer specializing in tracking, segmentation, and low-latency Edge AI. 🏅 Expert-Vetted Status on Upwork 🏆 Top 10 Machine Learning Agency ⚡ 25+ Production Systems Delivered Struggling to turn video or image data into reliable production AI? Over the last 7+ years, I’ve helped sports, industrial, satellite, and healthcare teams cut manual inspection time by 35%. Let’s build detection, tracking, segmentation, or edge AI that works in the real world. 🎯 HOW I CAN HELP YOU COMPUTER VISION SYSTEMS Turn visual data into accurate, production-ready outputs that improve decisions, automate manual review, and scale across real-world conditions. I build systems for detection, tracking, segmentation, pose estimation, and video analysis that stay robust under occlusion, low light, and multi-camera setups. SPORTS ANALYTICS AI Convert broadcast or field video into player tracking, ball trajectories, and performance metrics that help teams measure more and react faster. My sports systems have covered football, tennis, pickleball, and 3D ball tracking with calibration and real-time inference optimized for usable match insights. INDUSTRIAL INSPECTION AUTOMATION Reduce defects, speed up quality control, and catch issues before they hit production. I have delivered defect detection and segmentation systems for manufacturing use cases, including fabric defects, roof inspection, and image stitching pipelines for precision analysis. SATELLITE AND AERIAL IMAGE ANALYSIS Extract actionable intelligence from drone and satellite imagery to support infrastructure monitoring, mapping, and large-area inspection. I use YOLO-based detection and segmentation pipelines that handle sparse labels, variable resolution, and geospatial complexity. REAL-TIME EDGE AI DEPLOYMENT Get low-latency AI running on NVIDIA Jetson, cloud APIs, or embedded devices without sacrificing accuracy. I optimize models with TensorRT, ONNX, Docker, and C++ when needed, helping clients meet strict speed and hardware constraints in production. 🤝 𝗚𝗘𝗧 𝗜𝗡 𝗧𝗢𝗨𝗖𝗛 Message me on Upwork if you need a Computer Vision Engineer or Machine Learning Engineer to turn your idea into a production-ready AI system. I can help with a free consultation, scope the best approach, and move fast on your next build. I typically respond within 4 hours and can prioritize urgent projects. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I build computer vision systems with OpenCV and PyTorch, productionize machine learning models in TensorFlow, and deploy Python pipelines for real-time video analysis and image segmentation.

I'm a full-stack AI Engineer who takes projects from idea to production whether that's a real-time computer vision system, an LLM-powered SaaS product, or an automated AI workflow. I've built and deployed solutions for startups and enterprises across healthcare, surveillance, drones, industrial automation, and retail. 🔍 Computer Vision Object detection, tracking & segmentation (YOLOv8, Faster R-CNN, DeepSORT, ByteTrack) Pose estimation, OCR/Document AI, medical imaging, industrial inspection Edge deployment on NVIDIA Jetson with TensorRT, ONNX, INT8/FP16 quantization 🧠 LLMs & Generative AI RAG pipelines with LangChain, LlamaIndex & vector databases (Pinecone, Qdrant, ChromaDB) Fine-tuning & prompt engineering (OpenAI, Claude, Llama, open-source models) AI agents & multi-agent systems (LangGraph, CrewAI, function calling) Multimodal AI — vision + language models for intelligent applications ⚙️ AI Automation & SaaS Workflow automation with n8n, Make & Zapier — connecting AI to your business tools Full AI SaaS development: FastAPI/Flask backends, Next.js frontends, Stripe integration Chatbots, voice AI, and custom AI assistants for web and WhatsApp/Telegram 🚀 MLOps & Deployment Docker, Kubernetes, CI/CD, AWS & GCP Real-time inference APIs, MLflow tracking, scalable cloud + edge architectures What you get: clean code, clear documentation, honest communication, and a system that actually works in production — not just a demo notebook. 📩 Message me and let's scope your project.

100+ machine learning models shipped to production over 10 years! Computer vision, 3D Reconstruction, Generative AI, and lately AI agents and n8n automation that have to work every day, not just in the demo. I lead the ML team at a US custom-clothing company, where we turn a phone video into an accurate 3D body model for garment measurement — neural surface reconstruction, Gaussian splatting, camera pose estimation, and LoRA fine-tuning of video models like LTX and Wan. I also founded Wortel AI, the computer vision team behind Proofminder (agriculture), SmartEnds (waste detection), and EpicListing (real estate imagery). On Upwork: $100K+ earned, 3,900+ hours, 100% Job Success across 33 jobs. Work I've built has contributed to over $1M in client seed rounds (Proofminder, SmartEnds, NetraAI, Colossyan, PreceptionAG). What I take on: - Computer vision: object detection, image segmentation, classification — trained, evaluated, and deployed to cloud or edge. PyTorch first. - 3D: reconstruction from video or phone capture, multi-camera rigs, Gaussian splatting, NeRFs. I cut one reconstruction pipeline from 60+ minutes to 3. - Generative AI: LoRA fine-tuning for video and image models, plus evaluation frameworks so you know if the model is actually good. - MLOps: cloud and edge deployment infrastructure for ML models — GPU training orchestration, experiment tracking, and config-driven serving, so rolling a new model onto any camera device is a config change, not a rebuild. - AI agents & automation: n8n self-hosted on Docker, RAG with LangChain and Pinecone, agents wired into your real stack — CRM, sheets, email, whatever you run. Wortel gives me a trained team behind every project, so scale (including data annotation) doesn't bottleneck on me. You get one technical lead and a bench. How I work: clear scope, Loom updates, documentation you can hand to your own devs, and a straight answer when something won't work. If you've got a vision problem, a 3D pipeline, or an automation that should run itself. Send the details. I'll tell you fast if it's a fit.

☑️ CTO of a Top-rated Ukrainian software development company Qualium Systems ☑️ 15+ years of expertise ☑️ 200+ projects released ☑️ 100% Job Success Score We help startups and businesses build scalable digital products - from SaaS platforms and mobile apps to AI-powered systems and interactive 3D configurators. Our expertise includes: • SaaS & custom web platforms • Mobile apps (iOS & Android) • AI integrations & automation • 3D configurators & product visualization • Cloud architecture & backend systems 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: React.js, Next.js, Node.js, TypeScript, React Native, Flutter, Three.js, OpenAI, TensorFlow, PostgreSQL, MongoDB, AWS, Docker, Kubernetes. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝘂𝘀: ✅ ISO/IEC 27001 certified processes ✅ Strong technical architecture expertise ✅ Transparent communication ✅ Full-cycle development team ✅ Long-term support & scaling Let’s discuss your project and build something outstanding together!

✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

I architect, build and deploy production-grade agentic AI systems, enterprise RAG platforms and document-intelligence applications using Python, FastAPI, LangGraph and privately hosted or managed LLMs. ✅ 9+ years in AI and machine learning engineering ✅ Upwork Top Rated with 100% Job Success ✅ Completed and delivered projects for global clients ✅ Ranked in the Top 10% of Kaggle competitors ✅ Worked with teams across the North America, Europe and East Asia ✅ Reduced manual review time by 50% and improved retrieval relevance by 35% in production. My work includes enterprise architecture-review agents, regulated document-verification platforms, multimodal intake systems and source-grounded assistants that analyse complex files and return structured findings with citations. CORE CAPABILITIES • Multi-agent architecture and stateful orchestration • Enterprise RAG, document intelligence and multimodal analysis • Evaluation datasets, guardrails and regression testing • FastAPI, PostgreSQL, pgvector and asynchronous processing • Private LLM deployment with vLLM and Kubernetes • Model routing, inference optimization and observability Most AI systems do not fail because the model is incapable. They fail because nobody defines what a correct result looks like. I establish the evaluation dataset and acceptance criteria early, test releases against them, guard inputs, outputs and tool calls, and require human approval before consequential actions. 🧠 PRODUCTION MULTI-AGENT SYSTEMS With LangGraph, I implement state machines, parallel specialist agents, conditional routing, retries, escalation, human checkpoints and PostgreSQL-backed persistence. A long-running job can resume from its last checkpoint instead of restarting after a failure. I use the OpenAI Agents SDK for specialist handoffs, agents as tools, session memory, guardrails and tracing. I use Google ADK with Gemini and Vertex AI when the system must operate inside a client’s Google Cloud environment. A system may include a coordinator, parallel specialists, a reducer that resolves conflicting findings, a citation verifier and a human-review gate for low-confidence decisions. 📚 ENTERPRISE RAG & DOCUMENT INTELLIGENCE I build source-grounded systems over policies, presentations, contracts, technical submissions and scanned files. Retrieval pipelines can include layout-aware OCR, structure-aware chunking, dense embeddings, BM25, Reciprocal Rank Fusion, cross-encoder reranking, page-level citations and abstention when evidence is weak. Hybrid retrieval finds both semantic meaning and exact identifiers such as clause numbers, batch numbers, product codes and case IDs that pure vector search can miss. 🚀 PRIVATE LLM DEPLOYMENT & OPTIMIZATION I deploy LLMs through managed providers, private cloud and self-hosted GPU infrastructure. This includes vLLM on Kubernetes, OpenAI-compatible endpoints, model routing, streaming, batching, asynchronous processing, retries, circuit breakers, caching and token, latency and cost monitoring. I select models based on measured quality, privacy, latency and cost instead of using the largest model for every task. 🛡️ EVALUATION, GUARDRAILS & RELIABILITY I make AI applications measurable and reliable through: • Failure taxonomies built from production traces • Golden datasets with expected answers and source spans • Retrieval, groundedness and citation evaluation • CI regression tests and structured-output validation • Hallucination, contradiction and prompt-injection testing • Repair, retry, fallback, escalation and safe-refusal paths • Token, cost and latency dashboards 📌 SELECTED EXPERIENCE REGULATED DOCUMENT VERIFICATION Built a hybrid retrieval system combining OCR, layout parsing, dense search, BM25, Reciprocal Rank Fusion and reranking. LangGraph agents reviewed technical submissions in parallel and returned evidence-backed findings. A private 32B model ran on Kubernetes through vLLM because documents could not leave the network. ENTERPRISE GOVERNANCE INTAKE Developed a FastAPI and LangGraph platform that checks submissions against internal standards and returns structured findings with evidence. It includes persistent state, parallel review, retries, escalation, human checkpoints, multimodal analysis and pluggable guardrails. 🔌 WORKFLOW & SYSTEM INTEGRATION When an AI system needs Gmail, Google Calendar, Drive, Slack, CRM or internal-system connectivity, I use APIs, webhooks, n8n or custom Python services. n8n is an optional integration layer. Critical reasoning and validation remain in testable, version-controlled Python. STACK Python, FastAPI, LangGraph, OpenAI Agents SDK, Google ADK, Gemini, Claude, Azure OpenAI, n8n, PostgreSQL, pgvector, Redis, Docker, Kubernetes, vLLM, Langfuse, OpenTelemetry, AWS, Azure, GCP and Vertex AI. Send me what is slow, unreliable or difficult to scale. I will respond with a practical architecture, an honest estimate and a clear recommendation.

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!!