𝗜'𝗺 𝗦𝗮𝗺𝗶𝗻𝗮, a seasoned Full Stack Developer with over 12 years of experience working with both startups and large organizations, specializing in building scalable, high-performance web applications and APIs. My expertise spans Python, Node.js, React, AWS, and a variety of other technologies. I focus on delivering solutions that help businesses improve their operations, enhance efficiency, and achieve measurable results. Whether you're a startup looking to bring an idea to life or a larger organization needing robust, enterprise-level solutions, I ensure that every project I work on is built with clean, reliable code that aligns with your business goals. 𝑾𝒉𝒂𝒕 𝑰 𝑪𝒂𝒏 𝑫𝒐 𝑭𝒐𝒓 𝒀𝒐𝒖: 🔹 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗪𝗲𝗯 𝗔𝗽𝗽𝘀 & 𝗔𝗣𝗜𝘀: From building sleek, responsive web apps to designing powerful, efficient APIs, I ensure that your technology solutions are built to grow alongside your business. 🔹 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: I specialize in implementing AI agents, machine learning, and automation to help businesses reduce operational costs, automate repetitive tasks, and boost efficiency. 🔹 𝗠𝗩𝗣 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Whether you're launching a new product or testing a new idea, I can help you deliver a robust MVP quickly and efficiently, reducing time-to-market while ensuring a high-quality user experience. 🔹 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: I work closely with you to develop tailored systems that meet your exact needs, whether it’s a custom chatbot for customer support, AI-powered analytics, or an automation platform that drives productivity. 𝑺𝒖𝒄𝒄𝒆𝒔𝒔 𝑺𝒕𝒐𝒓𝒊𝒆𝒔: 🔹 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Developed an AI Notetaker that helped doctors save 6 hours per week by automating patient follow-ups, improving communication, and enhancing patient satisfaction by 40%. 🔹 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻: Automated purchase order processing, cutting manual entry time by 85% and reducing order errors by 92%, allowing businesses to process more orders with fewer resources. 🔹 𝗠𝗲𝗻𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵: Built an AI Therapy Assistant that scaled therapist support by 10x, resulting in shorter wait times and better outcomes for clients. 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 𝑰 𝑼𝒔𝒆: 🔸 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React.js, Next.js, Tailwind CSS 🔸 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Django, Flask, Node.js, Express 🔸 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MongoDB, PostgreSQL, MySQL 🔸 𝗖𝗹𝗼𝘂𝗱: AWS (EC2, Lambda, S3, API Gateway), CI/CD pipelines 🔸 𝗔𝗜/𝗠𝗟: LangChain, AI agents, deep learning, machine learning 🔸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: RAG Pipelines, Multi-Agent Frameworks, Docker, Kubernetes 🔸 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝗣𝗜𝘀: CRMs (HubSpot, Salesforce), ERPs, Firebase, Slack, MS Teams, Zapier, Stripe, PayPal, REST & GraphQL APIs 𝑾𝒉𝒚 𝑾𝒐𝒓𝒌 𝑾𝒊𝒕𝒉 𝑴𝒆: 🚀 𝗖𝗹𝗲𝗮𝗻, 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗖𝗼𝗱𝗲: I write scalable, reliable, and maintainable code that grows with your business needs. ☁️ 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀: My experience in cloud infrastructure ensures smooth and efficient deployments, using AWS and modern CI/CD practices. ⚡ 𝗙𝗮𝘀𝘁 & 𝗖𝗹𝗲𝗮𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: You’ll hear from me within 30 minutes, and I ensure every milestone, deliverable, and cost is transparent, with no scope creep or hidden charges. 💡𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗢𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: From ideation to deployment, I take full responsibility for your project, ensuring that it’s delivered on time and within budget. 🔑𝗣𝗿𝗼𝘃𝗲𝗻 𝗧𝗿𝗮𝗰𝗸 𝗥𝗲𝗰𝗼𝗿𝗱: I’m a top-rated freelancer on Upwork with a perfect 5-star rating, a history of exceeding client expectations, and an impressive 93% on-time, on-budget completion rate. 𝑳𝒆𝒕’𝒔 𝒘𝒐𝒓𝒌 𝒕𝒐𝒈𝒆𝒕𝒉𝒆𝒓 𝒕𝒐 𝒃𝒓𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒏𝒆𝒙𝒕 𝒘𝒆𝒃 𝒂𝒑𝒑, 𝑨𝑰 𝒔𝒚𝒔𝒕𝒆𝒎, 𝒐𝒓 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏 𝒕𝒐 𝒍𝒊𝒇𝒆. 𝑪𝒍𝒊𝒄𝒌 𝒕𝒉𝒆 "𝑴𝒆𝒔𝒔𝒂𝒈𝒆" 𝒃𝒖𝒕𝒕𝒐𝒏, 𝒂𝒏𝒅 𝑰’𝒍𝒍 𝒓𝒆𝒔𝒑𝒐𝒏𝒅 𝒘𝒊𝒕𝒉𝒊𝒏 30 𝒎𝒊𝒏𝒖𝒕𝒆𝒔 𝒊𝒇 𝑰’𝒎 𝒂𝒘𝒂𝒌𝒆.

Turned 40,000 unstructured leads into $1.4M in revenue for a 50M fitness franchise by rebuilding their sales qualification system from the ground up using AI, CRM automation, and lead funnel redesign. Currently working with SAP consultancies to cut project delivery time by 40% through auditable AI workflows. Faster demos, cleaner handoffs, less manual work per engagement. Also running an active revenue-sharing engagement with a private equity firm on AI-powered lead funnel optimization — structured around outcomes, not hours. The way I work: I find where revenue is leaking, build the system that fixes it, and measure the before and after. That means CRM pipelines, AI-powered lead scoring, automated outreach sequences, and sales funnel restructuring. Not decks. Actual builds. Clients have included YC-backed startups, Stanford and NVIDIA-backed teams, and scaling businesses across the US, Europe, and the Middle East. If you have a sales or ops problem where the gap between current and target revenue is clear, that is the kind of work I take on.

𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗔𝗜 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻. If you are looking to integrate Artificial Intelligence into your business, you do not just need code, you need a strategy. You need an architecture that scales, models that perform in the wild, and a pipeline that is cost-effective. I am 𝗔𝗱𝗶𝗹 𝗔𝗳𝘇𝗮𝗹, an AI Solutions Architect and Founder of XeroAI. 𝗠𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗼𝗳 𝗕𝗼𝘁𝗵 𝗪𝗼𝗿𝗹𝗱𝘀 I operate primarily as an expert freelancer and 𝗟𝗲𝗮𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁. This means when we discuss your project, you are speaking directly to the engineer designing your system, not a salesperson. I personally oversee the core AI architecture, model selection, and strategy. However, for projects that require full-stack development (Web/Mobile integration, Data Labeling, UI/UX), I bring the full support of my team at 𝗫𝗲𝗿𝗼𝗔𝗜. This allows me to offer you: 𝟭. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 I am your Single Point of Contact (SPOC). 𝟮. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: We can handle everything from a simple Python script to a full-scale SaaS platform. 🚀 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 👁️ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 (𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻) • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: YOLOv8/v10, DeepSort, and MediaPipe for real-time analytics. • 𝗘𝗱𝗴𝗲 𝗔𝗜: Deploying heavy models on lightweight devices (NVIDIA Jetson, Raspberry Pi, Mobile) using TensorRT and TF Lite. • 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 & 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: Segmentation, Defect Detection, and OCR. 🤖 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) • 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Building custom chatbots that "talk" to your PDFs, SQL databases, or Notion using LangChain and Vector DBs (Pinecone, Milvus). • 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴: Customizing Llama 3, Mistral, or GPT-4 for niche industrial tasks. • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Developing autonomous agents that can execute workflows and browse the web. 🗣️ 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣) • Sentiment Analysis, Named Entity Recognition (NER), and Text Summarization. • Audio Intelligence (Whisper, TTS). 🏭 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 We have successfully transformed workflows in: • 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Crop monitoring and disease detection. • 𝗦𝗽𝗼𝗿𝘁𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Player tracking and pose estimation. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Medical imaging diagnostics. • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲: Smart surveillance and anomaly detection. 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 • 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, C++, Dart (Flutter). • 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn. • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, AWS (SageMaker, Lambda), GCP, Streamlit, FastAPI. 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲, how AI can transform your business. Visit 𝘅𝗲𝗿𝗼𝗮𝗶.𝗰𝗼𝗺 to see our work, and let’s build something extraordinary together. Click "𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯" to schedule a brief consultation about your project goals.

Most AI/ML projects work in notebooks — but fail in production. I build the ones that actually run. I’ve led production AI systems in real-world environments, including large-scale energy solutions for ENGIE Brasil. I design and deploy end-to-end AI systems that handle incomplete data, noisy signals, and real-world constraints. I’m a Data Scientist and AI Engineer with a Ph.D. in Cognitive Science and 12+ years of experience. On Upwork, I’ve delivered 25+ projects, $50K+ in earnings, and maintain a 100% job success score as a Top Rated Plus freelancer. My work goes beyond modeling — I build systems that integrate into real workflows. I’ve built: * LLM-based systems (RAG pipelines, AI assistants, internal copilots) * Automation agents and decision systems * Time series models for energy, anomaly detection, and predictive maintenance I work best with clients who want to build something real — not just experiments. If you already have data and a clear problem, I can help you turn it into a working system.

💡 I help businesses build AI-powered solutions and actionable analytics that save time, reduce costs, and unlock growth. With 20+ successful projects, glowing 5⭐ reviews, and a 100% client satisfaction record, I specialize in scalable, production-ready AI systems and dashboards that solve real-world problems across healthcare, finance, and e-commerce. 🔹 What I Do Best: AI/ML & NLP Solutions: Natural Language Processing (NLP): Sentiment analysis, classification, entity recognition LLM & RAG Pipelines: GPT-4, LangChain, Pinecone, LlamaIndex, Hugging Face Conversational AI: Custom chatbots & assistants for automation Predictive Analytics: Forecasting, recommendation engines, data-driven systems AI Deployment: FastAPI, Flask, scalable API integrations Data Analytics & BI: Power BI, Tableau, and Google Data Studio dashboards Excel/SQL data cleaning & KPI tracking Automated weekly/monthly reports AI-enhanced business insights & forecasting 🏆 Why Work With Me? ✔️ Proven track record: 20+ successful AI/ML & analytics projects delivered ✔️ 100% Job Success & consistent 5⭐ feedback ✔️ Business-focused approach: I build solutions that drive measurable impact ✔️ Future-ready systems: Scalable, reliable, and easy-to-maintain ✔️ Collaborative partner: I work closely to understand your goals 🔧 Tools & Tech: Python | Scikit-learn | TensorFlow | PyTorch | Hugging Face | LangChain | Pinecone | LlamaIndex | Power BI | Tableau | SQL | Pandas 📈 Let’s work together to build intelligent systems and dashboards that give your business a competitive edge.

𝐈 𝐰𝐨𝐫𝐤 𝐀𝐈-𝐟𝐢𝐫𝐬𝐭 𝐮𝐬𝐢𝐧𝐠 𝐚𝐧 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐰𝐢𝐭𝐡 𝐭𝐨𝐨𝐥𝐬 𝐥𝐢𝐤𝐞 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞, 𝐎𝐩𝐞𝐧𝐀𝐈/𝐂𝐨𝐝𝐞𝐱, 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐚𝐧𝐝 𝐦𝐨𝐝𝐞𝐫𝐧 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 𝐭𝐨 𝐬𝐡𝐢𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐌𝐕𝐏𝐬 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝐭𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐝𝐞𝐯 𝐭𝐞𝐚𝐦𝐬. This workflow allows me to move significantly faster than traditional dev cycles while still shipping clean, maintainable, production-ready systems. Typical projects include: ◉ AI agents & multi-agent workflows ◉ LLM-powered automation tools ◉ Web scraping & data pipelines ◉ RAG systems (search, chat, internal tools) ◉ Full-stack MVPs (AI + web apps) The result: faster iteration, better architecture decisions, and lower time-to-market for founders and teams. With all this I have experience with Retell.ai for speech-to-text automation and Zapier for workflow automation, integrating various apps to streamline processes. I've set up custom automation to enhance efficiency and data management. 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐅𝐅𝐄𝐑: ► 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐌𝐨𝐝𝐞𝐫𝐧 𝐀𝐈 𝐓𝐨𝐨𝐥:I utilize Claude Code, Cursor, and Windsurf to build sophisticated, agentic workflows. I am proficient in executing complex terminal commands within Claude Code to automate refactoring, debugging, and testing, ensuring rapid and high-quality software delivery. ► Python Excellence: I specialize in designing high-performance back-end systems, APIs, and workflow automation with Python. My expertise in Django, Flask, and Python scripting ensures top-notch development. ► AI & Machine Learning Innovation: I use Python to create Chatbots, Generative AI, Deep Learning models, and Computer Vision applications to tackle complicated business problems. ► Prompt Engineering: Skilled in crafting prompts for various LLMs to optimize responses and enhance user interactions. Using tools such as OpenAI’s GPT series and Hugging Face Transformers for model fine-tuning and prompt experimentation, ensuring improved accuracy and relevance. ► Full-Stack Development: I utilize Python and front-end technologies like React and TypeScript to create seamless user experiences, from database design using PostgreSQL and MongoDB to front-end programming. ► DevOps & Cloud Integration: With hands-on expertise in DevOps and cloud services (AWS, Azure), I assure seamless CI/CD pipelines, strong infrastructure management, and fast deployment, maximizing performance and scalability. TECHNICAL TOOLBOX: ● AI Agentic Tools: Claude Code (CLI/Agentic Workflows), Cursor, Windsurf, Codex, GitHub Copilot ● Python: Flask, Fast API, Django, GPT API, Pytest, BeautifulSoup, Selenium ● Web Scraping: Data Mining, Web Crawling, Data Parsing, Automation, Bots ● Prompt Engineering: OpenAI API, Hugging Face Transformers, LangChain, RAG ● Fullstack: JavaScript, MongoDB, Express.js, React, Node.js, TypeScript ● DevOps: Ansible, Docker, Kubernetes, GitLab CI/CD (AWS/Azure/DO/GCP) ● API Integration: Binance, Telegram, OpenAI, BetFair, OddsJam, Stripe ● API Development: RESTful API, OAuth, Postman, Swagger, Microservices, Endpoint Design MY SERVICES INCLUDE: ✚ Agentic Workflow Setup | AI-Assisted Code Refactoring ✚ Web Scraping | Data Mining | Data Extraction ✚ Web Automation | Data Cleaning | Data Collection ✚ Crypto Trading Automation | Automate Trading Strategy ✚ Interactive Brokers Bot | Crypto Trading Bot | Dashboard ✚ Data Analysis | Data Visualization | Data Entry ✚ Custom Scripting & LLM Fine-Tuning WHY WORK WITH ME? 💯 Dedicated Partner: Your project's success is my priority. I offer unparalleled commitment, ensuring your technical problems are addressed with effective, customized solutions. 💯 Modern Efficiency: By using Agentic tools like Claude Code and Windsurf, I deliver code faster and with fewer bugs than traditional development methods. 💯 Proven Track Record: With a history of successful projects and satisfied clients, I bring reliability and excellence to your project. LOOKING FORWARD TO YOUR MESSAGE! Asra.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

I’m a Healthcare AI Engineer and Machine Learning Engineer helping Healthcare & MedTech teams build production-ready Medical AI and Clinical AI systems for medical imaging and biomedical signal processing (ECG, EEG, PPG). My focus is not just model accuracy, but clinical validation, deployment, and real-world reliability. If your healthcare AI works in notebooks but struggles in production, I help bridge that gap. What I Help With (Common Healthcare AI Projects) ✔ Medical Imaging AI (X-ray, MRI, CT): disease detection, segmentation, screening ✔ Biomedical Signal Processing (ECG, EEG, PPG): classification, prediction, monitoring ✔ Deep Learning for Healthcare: CNNs, Transformers, time-series ML ✔ Deployment-Ready Machine Learning: FastAPI, Docker, cloud-ready inference ✔ Model Validation & Error Analysis for clinical and research use Results & Proof ✔ Built ECG-based glucose prediction system using PPG data (5★ Upwork project) ✔ Developed non-invasive blood pressure estimation model using clinical signals ✔ Delivered medical imaging deep learning models achieving 92%+ accuracy ✔ Published peer-reviewed EEG research (IJSER, 2021) in biomedical signal AI How I Typically Start Healthcare AI Projects Step 1: Data & requirement review (feasibility, risks, validation scope) Step 2: Baseline model + clinical validation plan Step 3: Production-ready AI pipeline (API, deployment, monitoring) Message me with your dataset and goal I’ll suggest a clear, low-risk roadmap for your healthcare AI project.

🔵 14+ years developing first-class web, mobile and AI apps that achieve business goals and hit the mark. As an AI developer and web developer, my expertise led my team to work with Fortune 500 companies such as Philip Morris, Coca-Cola, DANONE, McDonald’s (Ukraine), and Kimberly-Clark. I started as a programmer in 2006. Now, I'm CTO at Brights — a software company focused on web, mobile and AI products, with 120+ Mobile app developer s and Web developer s who specialize in AI Chatbot systems, advanced AI Integration solutions, AI Saas and Mobile app development. As a deal closer, I also work closely with clients during product strategy and delivery. At Brights, we support companies through every stage of development backed by experienced AI developer, AI Chatbot, AI API Integration, Mobile app developer, and web developer — from MVPs to scaling including AI developer | AI Chatbot | AI API Integration | Mobile app developer. Our experience includes API integration, complex API integrations, and enterprise-grade AI API Integration. Within the last 14 years, I have delivered 300+ projects across fintech, insurtech, healthcare, eCommerce, real estate, education, logistics, and more as an AI developer | AI Chatbot | AI API Integration | Mobile app developer. 👩‍💻 Technical stack I cover as an AI developer | AI Chatbot | AI API Integration | Mobile app developer: Front-end: • Vue.js, React, Angular, Next.js, Redux, react native Back-end: • ASP.NET, PHP, Node.js, GraphQL Mobile: • React Native, iOS, Android, with support from a dedicated Mobile app developer and Flutter developer as well as Mobile game developer Artificial Intelligence tech stack I cover as an AI developer | AI Chatbot | AI API Integration: • Python developer workflows, LangChain, GPT-4o, gpt-3, OpenCV, Hugging Face, RAG, LLM, AI machine learning, and scalable machine learning pipelines Data & Architecture: • PostgreSQL, MongoDB, Redis, Elasticsearch for both mobile app marketing and web • Supported by experienced data scientist and full stack developer teams Integrations: • Analytics, CMS, Swagger, botpress, chatbots, AI API, and automation systems with reliable API integration If you are looking for AI developer | AI Chatbot | AI API Integration or Mobile app developer with strong mobile app design experience (Figma mobile app) - drop me a line.

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