I build Machine Learning and AI-powered applications that solve real business problems. My work includes AI Agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, Natural Language Processing (NLP), OCR, predictive analytics, recommendation systems, and enterprise AI applications that are designed for production use. I've worked on projects involving AI assistants, multi-agent systems, enterprise search, document intelligence, Computer Vision, OCR, intelligent automation, recommendation engines, predictive models, and AI-powered business applications across healthcare, finance, logistics, retail, education, legal, and enterprise operations. Whether you need to build an AI product from scratch or integrate AI into an existing platform, I focus on delivering scalable, reliable solutions that create measurable business value. What I build * Machine Learning models for prediction, classification, forecasting, and recommendations * AI Agents and multi-agent systems for workflow automation * LLM-powered applications using OpenAI, Claude, Gemini, and open-source models * Retrieval-Augmented Generation (RAG) systems with enterprise knowledge bases * Computer Vision solutions including object detection, image analysis, OCR, and document intelligence * NLP applications for text analysis, information extraction, and conversational AI * AI chatbots, virtual assistants, and business automation solutions * Custom Python-based AI applications with API integrations Technologies I work with Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost LLMs & AI Frameworks: OpenAI, Claude, Gemini, LangChain, LangGraph, LlamaIndex, CrewAI Computer Vision: OpenCV, YOLO, OCR, Image Segmentation, Object Detection Vector Databases: Pinecone, FAISS, ChromaDB, Weaviate Backend: Python, FastAPI, Django, Flask Databases: PostgreSQL, MySQL, MongoDB, Redis Cloud & Deployment: Docker, Kubernetes, AWS, Azure, Google Cloud I believe the best AI solutions start with understanding the business objective rather than applying technology for its own sake. Every solution I build is designed to integrate with existing systems, scale with business growth, and deliver measurable results in production. Whether you're building an AI Agent, implementing a Machine Learning model, developing a Computer Vision application, or deploying an enterprise RAG solution, I'm happy to discuss your requirements and recommend the most practical approach for 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.

Hi, I’m 𝗠𝗲𝗲𝗾𝗮𝘁 a Machine Learning Engineer with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 and a 𝗠𝗮𝘀𝘁𝗲𝗿'𝘀 𝗱𝗲𝗴𝗿𝗲𝗲 𝗶𝗻 𝗔𝗜 𝗳𝗿𝗼𝗺 𝗕𝗿𝘂𝗻𝗲𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗟𝗼𝗻𝗱𝗼𝗻. I built advanced AI/ML systems that drive results. I’ve successfully built solutions for 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀, 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀, and the 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗼𝗳 𝗣𝘂𝗻𝗷𝗮𝗯, 𝗣𝗮𝗸𝗶𝘀𝘁𝗮𝗻, ensuring security, scalability, and measurable impact. -- 𝗖𝗼𝗿𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Fine-tuning GPT-4, BERT, LLaMA, LangChain, Hugging Face, and RAG pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Chatbots, summarizers, text-to-speech (WaveRNN, Tacotron), and content generators 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗖𝗩: CNNs, RNNs, YOLO, OpenCV for image analysis, detection & recognition 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗔𝗽𝗽𝘀: React, Django, React Native with backend ML integrations 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Forecasting, segmentation, risk models using Python, R, and SQL 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: AWS, GCP, Azure, Docker, Git, CI/CD pipelines -- 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: LLaMA-based chatbot with domain-specific tuning Medical image diagnosis using CNN + BERT hybrid Real-time fraud detection & intelligent automation workflows Text generation & summarization using optimized inference pipelines Let’s work together to turn your data into intelligent, scalable systems. --𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | Open to contract-to-hire | 𝗚𝗶𝘁𝗛𝘂𝗯: 𝗠𝗲𝗲𝗾𝗮𝘁𝗦𝘂𝗵𝗮𝗿𝘄𝗮𝗿𝗱𝘆

⭐ Fractional CTO, AI Engineer & Technical Advisor helping SaaS startups build, ship and grow AI-powered products from MVP to enterprise. 🚀 Harvard-certified AI Developer & Python Developer | 10+ years Full Stack Development | Senior React, Python & Node.js Software Engineer 🏆 $1M+ saved via AI workflows | 40+ projects: FinTech, Healthcare, EdTech, LegalTech & SaaS 🎯 WHO I AM & HOW I HELP I'm a Fractional CTO & AI Solution Architect helping SaaS founders and non-technical CEOs turn vision into production-ready software. My work spans AI architecture, machine learning consultant work, Gen AI development & AI consulting projects - without a full-time CTO cost As a Fractional CTO, I solve problems like: → We need a SaaS product but have no technical co-founder → We want to integrate LLMs, RAG, or AI automation but don't know where to start → Our architecture won't scale and dev is too slow → We need to modernize our stack and migrate to AWS or Azure → We need AI agent automation (n8n, custom pipelines), but no one can build it in-house 🏅 MY EXPERTISE Case 1 - Fractional CTO & AI Developer for LegalTech SaaS Built a multi-tenant platform as SAAS AI developer: NestJS, Next.js, React, TypeScript, PostgreSQL, Azure, Terraform. AI Augmentation Layer: document extraction (Azure Document Intelligence), RAG research, AI-assisted drafting; Solution Architect, project manager. Case 2 - Fractional CTO & AI Engineer for a Healthcare Monitoring AI Platform Compliant SaaS developer: Python, FastAPI, PostgreSQL, WebSocket alerts, React. HIPAA/GDPR, Docker CI/CD. ML pipelines, computer vision models; data scientist, data analyst, AI Consultant, Virtual CTO Case 3 - Full Stack AI Developer for an EdTech LMS LMS build: React, TypeScript, Supabase, AWS (Cognito, Lambda). NLP personalization, GPT-3-powered recommendations, Moodle chatbot plugin. Case 4 - AI Engineer / AI Developer for a FinTech AI Startup Engineering: NestJS, Java, Azure SQL, Service Bus, blockchain-based payments, React frontend, AI content personalization, gamification; Solution Architect, AI engineer, Project Management Case 5 - AI Architect & AI Engineer: RAG, NLP & Speech Systems RAG platforms (Pinecone, OpenAI), speech intelligence (Deepgram, LangChain, FAISS), CRM automation (Anthropic/Claude). AI Agent Development and AI agent n8n automation, working as AI agent builder & AI agent creator. Agentic AI patterns, AI Model Integration, AI automation Case 6 - Full Stack AI Engineer & AI Developer for CRM & Auth Platform Microservices: gRPC, MongoDB, Neo4j. Multi-tenant auth (Azure AD); full stack developer, Cloud Architect advisor, AI Software Architect, AI Developer, data analysis pipelines. ⚡ WHERE I CAN BE HELPFUL ✅ Fractional CTO - strategy, leadership, team building for SaaS startups, virtual CTO services ✅ Technical Advisor - code audits, architecture reviews, cloud migration (AWS/Azure), Cloud Architect guidance ✅ Full Stack Development - React, Next.js, Node.js, Python, TypeScript, JavaScript, React Native, React for mobile & Web development ✅ AI engineering & LLM Integration - RAG, LLM agents, NLP, Computer Vision, ML, chatbots, Generative AI Agent Development ✅ AI Architect & SaaS Architecture - multi-tenant, API-first, compliance, scaling, Software Architecture & Design ✅ Data & Analytics - SQL, pipelines, data visualization, ML analytics, data science, data analysis ✅ DevOps - AWS, Azure, Terraform, Docker, ArgoCD, CI/CD, Firebase support ✅ Mobile App Development - React Native, Android App Development, cross-platform SAAS mobile features 👨🏻‍💻 TOOLS & TECHNOLOGIES Frontend: React, Next.js, Angular, Vue.js, HTML, CSS, JavaScript, TypeScript, Tailwind, MUI, React Native Backend: Node.js, NestJS, Express, Python, Java, FastAPI, Django, Flask, GraphQL AI/ML: GPT, GPT-3, Claude, RAG, LangChain, Pinecone, FAISS, NLP, Deepgram, PyTorch, TensorFlow, ML, Deep learning Cloud: AWS (Cognito, Lambda, EKS, S3), Azure (AI Foundry, Document Intelligence, APIM) DB: PostgreSQL, MongoDB, SQL, Neo4j, Pinecone, Qdrant DevOps: Docker, Terraform, Pulumi, ArgoCD APIs: OpenAI, Anthropic, Stripe, Pipedrive, MS Graph, REST, GraphQL, gRPC 🔄 HOW WE WORK TOGETHER Discovery Call - We discuss goals, challenges and product vision Technical Audit & Roadmap - I audit your stack and deliver a clear plan (Product Development, Solution Architecture, AI Development) Build & Ship - Weekly milestones, production-quality code (AI Agents, AI Automation, agentic AI workflows) Scale & Optimize - Performance tuning, AI automation, cost reduction, growth prep 🟢 MY CORE FOCUS AREAS SaaS product development (multi-tenant, API-first, AI-native) Healthcare & MedTech (compliance, real-time monitoring, HIPAA/GDPR) LegalTech (document intelligence, workflow AI automation, AI research) EdTech & LMS platforms (ML, personalized learning, analytics) API integration & platform scaling (CRM, ERP, real-time sync) AI-powered automations & AI automations (LLMs, RAG, NLP)

👋 Hey, I am Harsh Vardhan Mishra, a senior AI and Machine Learning expert with over 8 years of industry experience delivering scalable, production-grade solutions across domains like NLP, Computer Vision, LLMs, Predictive Analytics and Chatbot Development. I help startups and enterprises turn data into intelligence through custom AI solutions that integrate seamlessly with existing systems. I can assist you with: 🔹 LLMs & Generative AI → Custom integration with GPT-4, Claude, Llama 2 for smart chatbots, document parsing & AI agents → Knowledge base assistants with LangChain and RAG pipelines → Automations for content generation, summarization and QA bots 🔹 NLP & Machine Learning → Sentiment analysis, multilingual translation & semantic search → Predictive models for user behavior, fraud detection and forecasting → Advanced Computer Vision: object detection, OCR, quality inspection 🔹Computer Vision Solutions: • Image classification, object detection (YOLO, Detectron2) • OCR, document processing, and real-time video analytics • Quality control and defect detection in manufacturing datasets 🔹AI-Powered Chatbots & Assistants: → Custom chatbot development using GPT and open-source LLMs → Intent recognition, dialogue management, and contextual memory → Deployment with tools like Rasa, LangChain, FastAPI and WebSockets 🔹Backend Engineering with Python: → RESTful APIs and microservices using FastAPI, Flask, Django → Asynchronous pipelines with Celery, Redis, RabbitMQ → CI/CD workflows with Docker, Kubernetes and GitHub Actions → Cloud-native deployments on AWS, GCP, Azure and serverless platforms 🔹Tools & Platforms I Work With Daily: → ML Frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace → Data Tools: Pandas, NumPy, Dask, Spark → LLM Ops: LangChain, Weaviate, Pinecone, FAISS → Cloud ML: AWS SageMaker, GCP Vertex AI, Azure ML Studio I specialize in helping clients who: • Have an AI/ML prototype but need help scaling it • Need to integrate intelligent features into an existing app • Want to modernize legacy Python code or optimize slow ML pipelines • Are building from scratch and want expert guidance from day one Whether you are looking to build a custom AI solution, analyze large datasets, create a smart assistant or integrate AI into your existing platform, I bring a deep technical foundation and a problem-solving mindset to every project. 📩 Let’s talk about your project. Whether it’s a chatbot, predictive model or full-scale AI system, I will help you build something your users love and your team can rely on. Best Regards, Harsh Vardhan Mishra

Hello, Thank you for taking time to visit my profile. As a Machine Learning Engineer and Python developer, I have extensive experience working with a range of libraries and frameworks to build robust, scalable applications. Specifically, I have expertise in the following commonly used libraries: NumPy: I have utilized NumPy to perform numerical computations and multi-dimensional array manipulations, especially in scientific and data analysis projects. Pandas: I am proficient in using Pandas for data manipulation and analysis, which is crucial for extracting insights and creating reports that drive business decisions. Matplotlib: I have experience in data visualization and plotting with Matplotlib, which enables me to create insightful and visually appealing visualizations. Scikit-learn: I have expertise in Scikit-learn, a machine learning library that offers a broad range of tools for classification, regression, and clustering tasks. I have used Scikit-learn to build predictive models for various applications. TensorFlow and Keras: I have experience in using these libraries for developing and training machine learning models, especially deep learning models. PyTorch: I have used PyTorch for developing and training machine learning models, particularly deep learning models. Seaborn: I am proficient in using Seaborn for statistical data visualization and graphics, which helps in communicating insights to stakeholders. SciPy: I have used SciPy for scientific and technical computing, particularly in engineering and physics projects. NLTK: I am experienced in using NLTK for natural language processing tasks, such as sentiment analysis and text classification. Overall, my expertise in these popular Python libraries allows me to deliver high-quality solutions that meet the needs of businesses and organizations. With strong analytical and problem-solving skills, I am able to provide efficient, scalable solutions that drive growth and success.

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!

✔️ 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

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 design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.