I'm a Deep Learning Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. I've worked on various AI domains such as Computer Vision, Deep Learning, Natural Language Processing and Reinforcement Learning. I've applied AI in medicine, academics, and industry to automate data annotation and model deployment processes. ✅ What I Offer: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Leverage advanced neural networks to model complex patterns in data, enhancing the performance of applications across generative AI, computer vision, and NLP. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Delve into the realm of creative AI, where machines produce realistic and novel content across various mediums. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Equip your systems with the ability to understand and interpret visual data, enabling applications like image recognition and object detection. 𝐍𝐋𝐏: Empower your projects with language understanding capabilities, facilitating tasks such as sentiment analysis and text generation. 💡 Why Collaborate with Me? 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 My Expertise Includes: Deep Learning (CNN, Neural Networks, Transfer Learning) Computer Vision (Image Classification, Object Detection, Segmentation) Frameworks: PyTorch, TensorFlow, Keras Medical Imaging AI (MRI, Tumor Detection) Model Optimization & Deployment 🔹 What I Deliver: Accurate and production-ready AI models Scalable deep learning pipelines Clean, maintainable, and efficient code I have built systems like brain tumor detection, AI-based classification models, and intelligent automation pipelines. My focus is on solving real-world problems using deep learning with high accuracy and efficiency. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I am adept at utilizing a wide array of tools and frameworks, ensuring optimal implementation and performance. 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐜𝐮𝐬: Stay ahead of the curve with cutting-edge solutions tailored to your specific requirements. 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐭𝐚𝐜𝐤: Python (Numpy, pandas, OpenCV, Keras, PyTorch), AWS, Google Cloud, GPU, machine learning APIs, Docker. Let's connect and discuss how we can leverage these technologies to achieve your goals.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod

Experienced data scientist with over 4 years of experience in machine learning projects. Active participant on Kaggle, a google backed platform for data science competitions, rated within Top 1% data scientists globally. Have experienced in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks. 𝐒 𝐊 𝐈 𝐋 𝐋 𝐒 ------------------------- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 : - CNN, - DNN, - RNN/LSTM, - GAN, - Transformers, - Auto-Encoders, - HMM-GMM - SVM, - Boosting, - Random forest, 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - C, - C++, - Python, - R, - Matlab, - CUDA(Beginner). 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Tensorflow, - Tensorflow lite, - Tensorflow js, - Keras, - Pytorch, - RASA, - Pandas, - Scikit-learn, - Open CV, - Tesseract OCR, - Kaldi, - OpenFace, - SpaCy, - NLTK, - Open Pose, - Others as well based on experience. 𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Jupyter-notebook - Google Colab - Pycharm - R-Studio 𝗣𝗮𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗼𝗿𝗸 : - Generating karyotype from Chromosome micro slide image. - Identify boundaries of wound and measurement of wound - Extensive object detection, Detection of Sky, Window, Glass, Tree, building. - automated tool for detecting norms and stereotypes in popular culture. - Deep Learning with Image processing for the transformation of style from one image to another. - Mobile embedded object detection model with TF-lite. - Developed an algorithm to generate a 3D model of faces from a single 2D mobile selfie using Python, Convolutional Neural Networks, PyTorch, and CUDA. - Created an algorithm for image and video compression using similarity between images with the help of OpenCV. - Developed an algorithm for the classification of different sounds of drones using MFCC and LPCC features and then SVM and HMM-GMM classifiers. - Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks. - Created an optical character recognition for English language using Python and OpenCV,. - Extracted the Legos from the videos and the classify it into 52 different classes using the convolutional neural network using Python. - Worked on the CNN based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python. - Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python. - Many other projects I have worked on. Few of them are signed with NDA. I shall be glad to provide any information/clarification that you might need to make a better decision. If you like my work. Please Direct Message me OR invite me to your job. I will happy to connect and take your project to success. Thanks for taking the time to read through my profile. Looking forward to talking to you. Thanks

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, Discord Bot,

I help businesses build production ready AI applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, Computer Vision, and Python. With 5+ years of experience in AI and Machine Learning, I develop end to end solutions that automate workflows, extract intelligence from documents and images, enable natural language interactions, and deliver measurable business value. I focus on building reliable AI systems that move beyond prototypes and operate effectively in real world production environments. What I Can Help You Build: ✅ Generative AI Applications ✅ Custom LLM Powered Products ✅ Retrieval Augmented Generation (RAG) Systems ✅ AI Agents & Multi Agent Workflows ✅ Enterprise Knowledge Assistants ✅ AI Chatbots & Virtual Assistants ✅ Document Intelligence & OCR Platforms ✅ Computer Vision Solutions ✅ Object Detection & Tracking Systems ✅ Video Analytics Applications ✅ Face Recognition & Biometric Systems ✅ Business Process Automation ✅ AI Powered SaaS Applications ✅ Custom Python Backends & APIs Core Expertise: Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral) Retrieval-Augmented Generation (RAG) LangChain, LangGraph, LlamaIndex AI Agents & Tool-Using Systems Prompt Engineering Vector Databases (FAISS, Pinecone, ChromaDB) Computer Vision & Deep Learning YOLO, OpenCV, PyTorch OCR & Document Processing FastAPI & Django AWS & Docker Deployment MLOps & Production AI Systems Technology Stack: Python | PyTorch | TensorFlow | OpenCV | YOLO | LangChain | LangGraph | LlamaIndex | FastAPI | Django | PostgreSQL | Pinecone | AWS | Docker | CUDA | TensorRT Why Clients Hire Me: ✔ 100% Job Success Score ✔ Production ready solutions, not demos ✔ Strong focus on scalability, performance, and reliability ✔ Clear communication and transparent project execution ✔ End to end ownership from architecture to deployment ✔ Ability to bridge AI research and business requirements Whether you need an AI Agent, RAG System, LLM Application, Computer Vision Solution, OCR Platform, or a complete AI powered product, I can help transform your idea into a production ready system. Let's discuss your project and build something valuable. Regards, Jay

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. I’m Claire L., a Senior Machine Learning Engineer specializing in Generative AI, LLM-based systems, Deep Learning, Computer Vision (YOLO), Predictive Analytics, and production-grade MLOps deployment. I hold a MSc degree in Computer Science and AI with 8+ years of experience helping startups, fintech platforms, healthcare teams, and growing enterprises move from AI idea to production deployment, reliably and at scale. I don’t build experiments. I build systems that integrate cleanly, perform consistently, and deliver long-term value. 𝗪𝗵𝗮𝘁 𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗜𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 • Retrieval-Augmented Generation (RAG) • AI copilots & intelligent assistants • Knowledge-base integrated chatbots • Structured data grounding & vector search • Evaluation, guardrails & performance optimization 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 & 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • Demand forecasting & time-series modeling • Fraud detection & risk scoring • Customer churn & behavioral prediction • Feature engineering & model optimization 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • YOLO-based object detection (YOLOv5 / YOLOv8) • Image classification & video intelligence • Custom dataset training & small-object detection • Edge optimization & quantization-aware deployment 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 • End-to-end ML pipelines • Model monitoring & drift detection • CI/CD for machine learning • Scalable cloud deployment (AWS, Azure, GCP) • API integration & system architecture design 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁 • Reduced operational waste by 25% through advanced forecasting systems • Improved fraud detection precision for fintech platforms • Built enterprise-grade AI assistants integrated with structured knowledge bases • Deployed real-time object detection systems in production environments • Designed scalable ML infrastructure supporting long-term model reliability 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 • Python | TensorFlow | PyTorch | Scikit-learn • Cloud Platforms: AWS, Azure, Google Cloud • MLOps: Docker, Kubernetes, MLflow • NLP, Computer Vision, Generative AI & Predictive Modeling • N8N, Zapier, Airtable Automations, Make (Integromat), Notion Automations, Retool 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Every engagement begins with defining measurable KPIs and a clear architecture plan. From there, I design the right combination of data pipelines, models, and infrastructure to ensure the solution performs reliably in production, not just in development. I work best with teams building serious products who need AI engineered properly from day one: secure, scalable, and maintainable. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗮𝗻𝗱 𝗻𝗲𝗲𝗱 𝘀𝗲𝗻𝗶𝗼𝗿-𝗹𝗲𝘃𝗲𝗹 𝗔𝗜 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, 𝗜’𝗱 𝗯𝗲 𝗴𝗹𝗮𝗱 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀.

Full-stack by foundation, AI by conviction. I was building machine learning systems back when it required more math than marketing - 17+ years in software development, 5+ years as a hands-on AI engineer and AI developer. 🇺🇦 I'm a CTO-level AI engineer, machine learning architect, and software architect with a perfectionist's attention to detail. My team of AI engineers, AI developers, data scientists, and web developers delivers full-cycle AI App Development and Web Development - from early MVPs to enterprise platforms. Need an AI chatbot developer, an AI integration specialist, a Python developer for ML pipelines, or a data scientist with real machine learning depth? We've done it - properly. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗯𝘂𝗶𝗹𝗱 𝗮𝘀 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀: ✅ AI App Development - LLM-powered apps, RAG pipelines, AI bot and AI chatbot solutions ✅ AI Agent Development - autonomous agents and agentic workflows (LangChain, CrewAI) ✅ AI Integration - AI model integration and API integration into your existing systems ✅ AI Chatbot Developer services - intelligent bots, NLP systems, multilingual AI chatbot products ✅ Automation & n8n - n8n workflow orchestration, data scraping, pipeline automation with n8n ✅ Computer Vision - OpenCV, CNN architectures, image recognition and processing systems ✅ Machine Learning & Data Science - model design, training, optimization, production deployment ✅ Web & Back-End Development - React, Node.js, Python, PHP, Java; RESTful & GraphQL API integration ✅ MVP / PoC - custom, low-code, no-code; discovery, UI/UX, QA, project management 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝘂𝘀: As AI developers and AI engineers, we don't just integrate tools - we architect solutions. Whether it's a custom AI chatbot developer engagement, a complex AI integration project, or a full AI App Development cycle, our AI engineer team brings senior-level ownership to every project. Every AI app developer on our team treats your product like their own. From AI integration strategy to deployment - we own it end to end. 🧬 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: - Machine learning, deep learning (PyTorch, TensorFlow), Python machine learning systems - Natural Language Processing, computer vision (OpenCV, CNN), RAG pipelines - AI Agent Development, AI App Development, and AI chatbot development for production - Data scientist and data analyst workflows; quant machine learning for FinTech - AI Integration and API integration - robust RESTful / GraphQL API development - n8n automation, cloud infrastructure (AWS, Docker, Kubernetes) Our team includes senior AI engineers and specialists with machine learning PhD backgrounds. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Python · PyTorch · TensorFlow · Scikit-Learn · LangChain · OpenCV · React · Vue · Angular · Node.js · Java · PHP (Laravel) · ASP.NET · PostgreSQL · MongoDB · ElasticSearch · AWS · Docker · Kubernetes · n8n 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: FinTech & quant ML · e-Learning · Fantasy sports & gaming · e-Commerce · Media & Entertainment · EcoTech · PropTech · Cybersecurity 𝗧𝗵𝗶𝘀 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗳𝗶𝘁𝘀 𝗶𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿: AI engineer · AI developer · AI chatbot developer · AI integration specialist · API integration specialist · machine learning engineer · data scientist · computer vision engineer · Python developer · web developer · AI agent developer · n8n automation expert · LangChain developer · AI bot developer · OpenAI developer · prompt engineer · agentic AI developer · AI Automation · AI Prompt Engineer · AI Model · ML · LLM · machine learning trading · machine learning time series · airtable integration · ai api integration 👉 Check the portfolio and selected projects below.

Most businesses are sitting on valuable data, they just don't know how to use it yet. I help founders, managers, and growing businesses turn that data into clear decisions, accurate predictions, and real results. I work with businesses to solve practical problems using data: forecasting outcomes, understanding customer behavior, automating repetitive analysis, and building intelligent systems that save time and reduce guesswork. - Turning messy, overwhelming data into clear, actionable insights - Building prediction models with 87%+ accuracy that help you plan ahead with confidence - Automating manual reporting and analysis to save your team hours - Identifying patterns in customer data to support smarter business decisions - Delivering results you can actually act on, not just technical reports A few things I'm proud of: - ⭐ 100% Job Success Score across all completed projects on Upwork - 🎯 Built prediction models achieving 87% accuracy on real-world data - ✅ 5-star reviews on every completed client engagement across multiple platforms - 📊 Delivered solutions across healthcare, education, and business analytics I focus on practical solutions, not just theory. Every project I take on is built around your specific business goals and designed to fit into how your team already works, no unnecessary complexity, just results. If you're ready to make your data work for you, I'd love to hear about your project. Let's talk.

Hi My name is Oleksander, I'm happy to help you with the development of your next gem. Please, refer to my skills below. I'm open to chat if you have any questions. Experience: 14yrs Areas: - Generative AI pipelines Development/Engineering - Agentic AI pipelines Development/Engineering - DEVOPS/MLOPS (Cloud infrastructure provisioning/automation) - CICD (Setup of build/deploy pipelines for classical web apps, servers, ML models) Technology stack: - Stable Diffusion, Stable Diffusion XL, FLUX, Controlnet, LoRa (Kohya) - diffusers, comfy training/inference libraries - CUDA Docker images - Pytorch/Tensorflow - GCP/AWS cloud providers - Terraform - Python/Nodejs I Would be happy to help you :D

33+ Successful Projects • 100% Job Success Top Rated 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation Why Work With Me 🟢 25+ successful projects with 100% Job Success (Top Rated) 🟢 Up to 90% automation through AI & workflow optimization 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project.