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.

I’m a Data Scientist focused on building intelligent, real-world 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that go beyond analysis and actually drive decisions and automation. With a strong foundation in Machine Learning, Deep Learning, and Big Data Analytics, I specialize in developing agentic AI solutions systems that can handle complex tasks, automate workflows, and operate with minimal human intervention. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I design and build end-to-end AI solutions, especially for data-heavy industries like 𝐫𝐞𝐚𝐥 𝐞𝐬𝐭𝐚𝐭𝐞, where automation, data extraction, and intelligent decision-making create real business value. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Autonomous AI agents for workflow automation Multi-step task execution systems AI-driven decision support systems 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Data Scraping & Web Automation Text Mining & Data Labelling Data Cleaning & Preprocessing ETL Pipelines (Extraction, Transformation, Loading) Data Analysis & Visualization 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive Modeling & Classification Systems Deep Learning Architectures (CNNs, RNNs, Transformers) Model Optimization & Deployment 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Object Detection & Image Classification Face Recognition & Emotion Detection Image Enhancement (Super-Resolution, Stitching) Video Analysis & Activity Recognition GANs, Vision Transformers 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 : Sentiment Analysis & Text Classification Topic Modeling & Text Clustering Language Translation Systems Transformer-based Models 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Distributed Data Processing (PySpark) Databricks & Azure Synapse Analytics Scalable Data Pipelines 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, PHP 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras, PyTorch Hugging Face, SpaCy, NLTK, Gensim 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I focus on building solutions that are not just technically sound, but practical, scalable, and aligned with real business needs. Whether it's automating workflows, extracting insights from complex data, or deploying AI systems, my goal is to deliver solutions that create measurable impact. 𝐈’𝐦 𝐚𝐥𝐰𝐚𝐲𝐬 𝐨𝐩𝐞𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.

🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

Hi, I’m a Full Stack Python Engineer specializing in AI Automation, AI Agents, and scalable backend systems. Since 2016, I have helped startups and businesses turn complex ideas into high-performing products, fast, reliable, and future-ready. Today, businesses don’t just need developers — they need engineers who can automate workflows, integrate AI, and create systems that run 24/7. That’s exactly where I come in. 💡 What I Can Do for You: 🤖 AI Automation & AI Agents * Build autonomous AI agents using OpenAI, LangChain, CrewAI, AutoGen * Automate business workflows (CRM, support, lead gen, operations) * AI chatbots with memory, tools, and real-time data access * Process automation using Zapier, Make (Integromat), n8n ⚡ LLM & GPT Integrations * OpenAI (GPT-4/5), embeddings, fine-tuning * RAG (Retrieval-Augmented Generation) systems * Document AI (PDF, OCR, knowledge base chatbots) * Semantic search & vector databases (Pinecone, Weaviate, FAISS) 🧠 Backend & Scalable Systems * Python, FastAPI, Django (high-performance APIs) * Microservices & async architectures * SaaS product development (multi-tenant systems) * REST APIs, GraphQL ☁️ Cloud & DevOps * AWS, GCP (deployment, scaling, monitoring) * Docker, CI/CD pipelines * Serverless & cost-optimized infrastructure 📊 Data & AI Engineering * Data pipelines & ETL workflows * Machine Learning model integration * Real-time data processing 🌐 Frontend (When Needed) * React.js, Next.js for modern UI * Dashboard & admin panel development 🛠️ Tools I Use Daily: OpenAI, LangChain, CrewAI, AutoGen, FastAPI, Django, PostgreSQL, MongoDB, Redis, Pinecone, Docker, AWS, GCP, GitHub, Jira 🎯 Why Clients Choose Me: ✅ I focus on business outcomes, not just code ✅ Fast delivery without compromising quality ✅ Clear communication & proactive updates ✅ Scalable solutions (not quick hacks) ✅ Strong understanding of AI trends & real-world use cases 🚀 Recent Use Cases I Build: * AI customer support agents * Automated lead generation systems * AI-powered SaaS platforms * Internal business automation tools * Smart dashboards with AI insights 💬 Let’s Talk If you're looking to build something powerful with AI or automate your business processes — I’d love to help. Send me a message, and let’s discuss how we can make your project faster, smarter, and more profitable.

Most AI automation projects fail when they need to work inside real business workflows. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. What I build: AI automation systems for business workflows AI agents for support, operations, and internal tools RAG-based knowledge systems connected to docs, PDFs, or databases Chatbots that can take real actions, not just answer questions Backend systems for LLM-powered applications, including APIs and integrations When clients usually reach out: When repetitive manual processes are slowing things down When internal knowledge is scattered or hard to access When support or operations need automation When they want to add real AI functionality into an existing product When previous AI solutions did not work in real-world usage How I approach projects: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. Tech stack: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS Recent work AI agents built for workflow automation RAG systems connected to company knowledge bases NLP-based clustering and data processing systems Fixing and deploying dialogue systems Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. Keywords AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development

AI Engineer | AI Agents, Automations & Production AI Systems Azure AI Developer I build production-ready AI systems, SaaS platforms, and automation solutions at a fraction of traditional development costs, without compromising on quality, security, or scalability. My approach combines AI-native development, modern engineering practices, and years of experience building real-world products across healthcare, legal, sports analytics, customer service, computer vision, and business automation. Whether you're launching a new product, building an AI-powered platform, automating operations, or transforming an existing prototype into a production-ready application, I help businesses move from idea to deployment faster and more cost-effectively. Here's what and how I can build for you: 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full product development powered by Claude/Cursor and an AI-native workflow. Every build is faster, tighter, and more cost-efficient than traditional development, without any tradeoff on quality or scalability. 𝗦𝗽𝗲𝗰 𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Scope defined, documented, and agreed before development starts. No moving goal posts, no runaway timelines. You know exactly what you're getting and when. 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom AI agents, multi-agent systems, RAG platforms, enterprise knowledge bases, AI copilots, voice assistants, and workflow automation solutions powered by modern LLMs. Enterprise search, document intelligence, compliance-focused retrieval systems, citation-based knowledge assistants, and vector database architectures. 𝗣𝗢𝗖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟴𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Need to validate an idea before committing to a full build? I scope and ship lean, functional proofs of concept that give you real signal without burning your runway. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟳𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Go from idea to a fully functional, market-ready product. Built to scale from day one, not patched together and hoping for the best. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 End-to-end web and mobile applications using React, Next.js, FastAPI, Python, PostgreSQL, cloud infrastructure, and modern deployment pipelines. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Conversational AI systems, inbound and outbound calling agents, customer support automation, CRM integrations, and intelligent workflow orchestration. 𝗖𝗼𝗱𝗲 𝗖𝗹𝗲𝗮𝗻𝘂𝗽 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 Built your prototype in Lovable, Replit, AI Studio, or another AI tool and hit a wall? I take what you have, audit the codebase, clean it up, add proper authentication, security, and any missing features, and get it production-ready. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗱𝗲 𝗔𝘂𝗱𝗶𝘁𝘀 Already have a development team or an existing product? I can step in and do architecture reviews, performance optimization, security assessments, scalability planning, technical due diligence, and modernization of existing applications. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Custom ML model integration into your product stack, recommendation systems, classification, predictive features, computer vision pipelines. Built to production standard, not a notebook demo What I build: • AI Agents and Multi-Agent Systems • Voice AI Applications (Retell, Vapi, Bland, LiveKit) • Business Process Automation (n8n, Make, Custom Workflows) • RAG and Knowledge-Based AI Systems • AI-Powered SaaS Features and Products • Document Processing, OCR and Data Extraction • Custom LLM Applications and AI Integrations • Backend APIs and AI Infrastructure • Real-Time AI Systems and Workflow Orchestration Tech Stack: Python, FastAPI, Node.js, TypeScript, React, OpenAI, Claude, Gemini, LangGraph, LangChain, Pinecone, Weaviate, PostgreSQL, MongoDB, AWS, Azure, Docker, n8n, Make, Twilio, Retell, Vapi, LiveKit Recent projects include: • Multi-agent coaching platform with orchestration, memory, and RAG • Voice AI systems for sales, scheduling, and customer support • AI-powered document processing and workflow automation platforms • Knowledge management systems using retrieval and vector search • Automated operational workflows integrating CRMs, communication tools, and business systems I enjoy building products and systems far more than consulting, coaching, or teaching. Most clients hire me when they need someone who can take ownership of implementation and deliver a working solution. If you're looking for an engineer who can design, build, and deploy AI systems that people actually use, let's connect.

Most AI projects fail because the infrastructure around them wasn't built to last. I'm an AI developer and Python developer who fixes that. I build RAG pipelines, AI Agent systems, and the backend architecture they need to actually run in production. When a project demands it, I bring in a trusted Python developer I've worked with long-term. Having a second Python developer and a second AI developer on call means you get the output of a full team without the overhead of managing one. 1. AI Systems That Go Beyond the Prototype As an AI developer, I design and implement custom RAG (Retrieval-Augmented Generation) pipelines that ground your LLMs in proprietary data: eliminating hallucinations and making responses genuinely useful. I build autonomous AI Agent frameworks that execute multi-step workflows without human input. Whether that means PyTorch for a custom machine learning model, TensorFlow for a deployment-optimized pipeline, or combining PyTorch and TensorFlow across different stages of the same system or computer vision for document parsing and image classification — I choose the right tool, not the trendiest one. My data scientist background means I treat model evaluation as seriously as model building. Nothing ships until the benchmarks prove it works. Every web development project I deliver goes through the same data scientist discipline: measure, validate, ship. 2. The Backend That Holds It Together A great AI developer still needs solid engineering underneath. As a Python developer, I build the infrastructure that makes AI systems reliable at scale: FastAPI and Django REST APIs, Flask microservices for lightweight integrations, Flask-based task queues for async jobs, PostgreSQL and MySQL schemas built for real data volumes, SQL queries optimized for performance, Docker-containerized services deployed through CI/CD pipelines with Git-managed version control. Data Scraping and web scraping are core to how I keep models current. I build Scrapy pipelines that continuously pull structured data from the web and load it into PostgreSQL or MySQL. That means your AI developer's models are always working with fresh information. I also use Scrapy for competitive research and e-commerce intelligence. Airtable provides non-technical stakeholders visibility into those Data Scraping pipelines, and Airtable webhooks trigger FastAPI or Django endpoints when records change. 3. Full Stack, Front to Back I'm a full stack developer and web developer, which means I own the entire delivery. React dashboards, Node.js middleware, JavaScript-heavy interfaces. I build the frontend that makes AI outputs accessible to real users. As a software engineer with web development experience across the full stack, I keep React components, Node.js services, and JavaScript logic clean and maintainable alongside the Python backend. I also have PHP developer experience. Many clients have existing PHP developer codebases, legacy CMS platforms, older systems that need to connect to modern Python APIs rather than be replaced. I know how to work with what's already there. 4. What Working With Me Looks Like You get a Python developer and AI developer in one person, backed by a trusted Python developer when the scope demands it. You get production-ready code - documented, tested, Git-managed, containerized with Docker, deployed through CI/CD. You get a data scientist mindset applied to every decision, a software engineer's standards applied to every line, a full stack developer's awareness of the full delivery chain, and a web developer's understanding that the end user is always the point. If you need an AI developer and Python developer who can take a project from first conversation to live deployment, I'd like to hear about it.

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝟓𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I am an AI/ML engineer specializing in end-to-end artificial intelligence development — from concept to deployed, scalable systems that solve real business problems. With 8+ years building machine learning, deep learning, and generative AI solutions for global clients (including Huawei and Turing), I deliver reliable, production-grade systems — not just prototypes. 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✓ Full-stack AI delivery: requirements → architecture → deployment → maintenance ✓ Battle-tested across 50+ international projects ✓ Focus on business impact, not just technical complexity ✓ Clear communication and rapid iteration cycles 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Computer Vision & Image Processing: Object detection | Image classification | ANPR systems | Face recognition | Video analytics | Image segmentation | OCR | Real-time tracking Natural Language Processing & LLMs: Chatbot development | RAG systems | LLM fine-tuning | Text generation | Sentiment analysis | Document summarization | Named entity recognition | GPT/Claude integration Audio & Speech Technologies: Automatic speech recognition (ASR) | Text-to-speech (TTS) | Speaker identification | Audio classification | Voice cloning | Noise reduction 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:Python | TensorFlow | PyTorch | Keras | Scikit-learn | Hugging Face | LangChain | OpenAI API | FastAPI | Flask | Docker | AWS | Azure 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡:I take full ownership — understanding your use case, recommending the right approach, building the solution, and ensuring it works reliably in production. You get working software, comprehensive documentation, and post-deployment support. 𝐈𝐝𝐞𝐚𝐥 𝐅𝐨𝐫: Custom AI model development and training ML pipeline design and automation API development and third-party integration Proof-of-concept to production scaling Legacy system modernization with AI Let's discuss how AI can create measurable value for your business. Message me with your project details, and I'll respond with relevant examples and a clear path forward.

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

AI Developer Top-rated Plus (Upwork Top 1%) AI Agents, Generative AI & Full Stack Development I help companies as AI Developer design, validate, and ship AI products fast, with a strong focus on AI Agents, Generative AI, and proAI Developer (Upwork Top 1%) AI Agents, Generative AI & Full Stack Development 8+ Years in AI & Machine Learning — production systems, not prototypes 50+ AI Products Delivered — from MVP to enterprise scale Top 1% AI Developer on Upwork AI MVPs shipped in 4–8 weeks — structured delivery, no overengineering HIPAA / SOC2 / GDPR-ready AI systems Full-cycle delivery — architecture, development, deployment, and optimization Trusted by teams in Healthcare, FinTech, Logistics, Real Estate, and E-commerce As a Senior AI Developer and Full Stack Software Engineer, I build production-ready Generative AI applications, custom AI Agents, and scalable machine learning systems. With 8+ years in Machine Learning and software architecture, I work as an AI Developer, AI Engineer, and Full Stack Developer. Together with Indeema, a full-cycle AI and custom software company, I lead teams that turn AI strategy into deployed systems, from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations. Proven track record with a 100% Job Success Score Consistently earning 5★ client feedback 8+ years building production-ready AI systems Clean, scalable, and enterprise-grade architecture From idea to deployed MVP in 4–8 weeks My structured delivery approach takes products from idea to working MVP in 4–8 weeks. AI Agent Consulting & Delivery I consult and implement agentic AI systems that observe, reason, and act across business workflows: AI Agents & Autonomous Workflows LLM-powered Products and Copilots RAG Systems and Knowledge AI AI Orchestration Architectures AI Integration into existing platforms AI MVP validation and architecture design My approach combines strategy, architecture, and delivery helping companies avoid costly overengineering and ship production-ready AI faster. What I Deliver AI Agent for Document Management AI Agent for Real Estate AI Agent for Inventory Management AI Agent for Fintech and Financial Management AI Agent for Medical Clinics and Image Analysis AI System for Advanced Analytics Agentic AI System Design Generative AI Development Machine Learning and Predictive Analytics AI App Development and Automation NLP, Computer Vision, and Data Science Enterprise AI Integration and Modernization I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams. AI MVPs in 4–8 weeks using a structured delivery methodology HIPAA / SOC2 / GDPR-ready solutions AI integration with ERP, CRM, and legacy systems Dedicated AI teams and fractional CTO leadership ⚙️ Technologies Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems. If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk.