I build production-ready AI systems RAG pipelines, AI agents, and LLM-powered apps , that turn messy data and manual processes into reliable, automated workflows. 21 projects delivered on Upwork with a 100% Job Success score. Most AI projects look great in a demo and break in production. I focus on the opposite: systems that stay accurate, fast, and affordable once real users and real data hit them. Here's what I help clients build: • RAG systems : chatbots and Q&A tools that answer from your own documents, knowledge bases, and data, with proper retrieval and minimal hallucination • AI agents & automation : multi-step agents that research, summarize, and take actions using LangChain and LangGraph • LLM integration : connecting OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) into your product or internal tools • Optimization : fine-tuning, prompt engineering, and caching to push accuracy up and API costs down My typical stack : Python, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases (Pinecone, Chroma, FAISS), Hugging Face, Docker, and AWS/GCP/Azure. I communicate clearly, scope honestly, and tell you when an AI solution is overkill versus when it's the right call. That's a big part of why my clients keep coming back. A few recent results: • Built a RAG chatbot over 500+ documents that cut support response time more than half. • Reduced LLM API costs by 40% through prompt optimisation and caching. • Shipped an AI agent that automated 10 tasks, saving the team 20 hours per week. If you have an AI idea anything from a quick prototype to a full production system send me a message describing what you're trying to build. I'll reply with an honest take on how I'd approach it, what it would realistically take, and whether it's worth doing.

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

𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 If your Vision AI project must work outside a demo, accuracy alone is not the problem.
Most failures come from deployment constraints, unclear acceptance criteria, and brittle integration.
I build computer vision systems that remain reliable when they meet real cameras, real environments, and real operations. I take projects from ambiguous idea to an engineered deliverable that you can run, verify, and maintain. This includes defining success metrics, selecting the right model class, building the data and training pipeline, and deploying to an edge device or a production server with versioned releases. Clients typically involve me when the work has operational stakes, such as automated inspection, remote sensing workflows, safety monitoring, robotics vision, or IoT enabled automation, where the system must be stable, explainable, and measurable. 𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐚𝐧𝐝 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐈: detection, segmentation, tracking, event logic, and rule based vision workflows using OpenCV, PyTorch, TensorFlow, YOLO variants, Vision Transformers, and modern segmentation pipelines.
 𝐄𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐚𝐧𝐝 𝐄𝐝𝐠𝐞 𝐕𝐢𝐬𝐢𝐨𝐧: deployment on NVIDIA Jetson and Raspberry Pi, camera integration, performance tuning, and reliability hardening, including model optimization when required.
 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬: orecasting, anomaly detection, and production grade analytics pipelines with pandas, NumPy, scikit learn, and Keras when appropriate. 𝐈𝐨𝐓 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: sensor and controller integration, telemetry, device communication, and automation workflows, including networking and protocol driven integration.
 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐏𝐈𝐬 𝐟𝐨𝐫 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬: FastAPI, Flask, and Django services for inference endpoints, device management, and analytics.
 𝐑𝐞𝐚𝐥 𝐭𝐢𝐦𝐞 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: socket based systems, SocketIO patterns, and BACnet related integration where the environment requires it. 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: packaging, installation scripts, version control discipline, update strategy, and clear handover documentation. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 • I define acceptance tests, failure modes, and operating constraints early, so “done” is unambiguous.
 • I communicate in decisions and trade offs, not in jargon, and I document what matters for maintenance.
 • I design for deployment from day one, including latency, throughput, compute limits, and network realities.
 • I write code that another engineer can maintain, with clean structure, reproducibility, and sensible defaults.
 • I surface risks early to protect timelines, rather than discovering constraints near delivery.
 • I keep scope controlled, while ensuring the system remains extensible as your product evolves. 𝐏𝐫𝐨𝐨𝐟 𝐚𝐧𝐝 𝐂𝐫𝐞𝐝𝐢𝐛𝐢𝐥𝐢𝐭𝐲 In this domain, credibility is demonstrated through deliverables that are runnable, measurable, and maintainable. Depending on your project, you can expect outputs such as: • A reproducible training and evaluation pipeline, with documented dataset assumptions.
 • Results reported for decision making, including class wise metrics and error analysis when relevant.
 • A deployable inference package or service, not only notebooks, with clear run instructions.
 • Integration artifacts such as camera configuration, streaming handling, API contracts, and device communication logic.
 • A structured handover kit, including environment setup, dependency pinning, and a concise maintenance guide. For edge deployments, I also plan for operational realities, including logging, recovery behavior, and an update strategy appropriate for production devices. 𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐇𝐢𝐫𝐞 𝐌𝐞 You are a strong fit for working with me if you need a Vision AI system that must run reliably in production, on an edge device, or inside an existing workflow. You value measurable performance, clear acceptance criteria, and an engineering approach that covers data, model, integration, and deployment. I am not the right fit if you only want the lowest cost model training without deployment, documentation, or engineering ownership. I also tend to decline projects where validation is impossible due to lack of representative data, or where scope is intentionally kept fluid while timelines are expected to remain fixed. 𝐍𝐞𝐱𝐭 𝐒𝐭𝐞𝐩 Share a brief description of your use case, your target environment, such as cloud, Jetson, or Raspberry Pi, and what success looks like. I will respond with a concrete plan, key risks to address early, and a practical delivery structure.

Most AI never survives contact with production. Agents loop, RAG retrieves noise, vision models collapse on real data. I build end-to-end AI systems from the first architecture decision to the final deployment. 🛠️ What I Do I specialise in one thing most AI developers overlook: building the right architecture around the model. Anyone can call an API. What I do is design the system that makes AI reliable the layer that decides what gets retrieved, how the agent reasons, when to escalate, and how to recover when something goes wrong. That's where most AI projects succeed or fail, and that's where I focus. 💼 Experience My journey has taken me across healthcare, government, retail, and real estate working on systems where accuracy isn't optional and failure has real consequences. I've led teams, managed production deployments, and worked directly with clients to translate messy business problems into AI systems that actually deliver. I believe in understanding the problem deeply before proposing a solution, because most AI projects don't fail at the model they fail at the architecture. 🔑 Value Proposition What sets my work apart is that I build for production, not for only demos. Every system I deliver is designed to integrate cleanly into your infrastructure, handle edge cases gracefully, and scale without falling apart. I can handled from a poc to production AI systems. I stay invested in making sure the solution works in your environment, for your users, against your real data. 🌟 Why Choose Me 💡 Architecture first: I design systems that are reliable before they are impressive ⏱️ Delivery: Production-ready code, clean documentation, on time 🎯 Outcome-driven: I measure success by business results, not model benchmarks 🔗 Full ownership: From architecture to deployment, I handle the complete system Whether you're building something new or fixing something broken, get in touch and let's work out exactly what you need.

- CTO at Singularis Programming - Extensive experience in Computer Vision and Machine Learning projects. - Keen on cutting-edge technologies and helping businesses achieve their objectives. 🏅About company - 13+ years of continuous experience in programming - Our engineers got significant achievements and results in the Programming World Cup ACM ICPC - 200+ successfully completed projects 🤝 Trusted by Intel, NEC, Samsung, DHL, VIATechnik, Amberg Technologies - Working with partners around the world, in all time zones: in Europe, North America, MENA, the Asia-Pacific region. - Completed projects in the UK, Switzerland, the USA, Spain, Germany, Belgium and other of EU. 💡 OUR SERVICES include, but are not limited to: – Definition and Planning, Business Analysis, Project Planning – Back-end development + DevOps Application Architecture, REST API, Application development, CI/CD, .NET Stack, C#, Entity Framework, NHibernate, Microservices – Front-end development Mark-upping, Client-side development, Responsiveness, React, Typescript, JavaScript, Redux, MobX – AI / Machine Learning / LLM Deep Learning and convolutional networks, GAN, TensorFlow, Keras, Torch, Stable Diffusion, Transformer architectures, fine-tuning and optimization, Hugging Face, LangChain, RAG, prompt engineering, Unsloth, llama.cpp, vLLM, model quantization and deployment – Computer Vision OpenCV, C++/Python, MMCV, YOLO, dlib, developing applications for Kinect and Intel RealSense, Microsoft HoloLens, video processing with FFmpeg – Mobile development iOS, Android, Cross-platform – Testing/Quality Assurance Manual (TestLink), Unit Tests, Automation, Stress, checklists, test-cases, Cypress – Technical Support and Maintenance DB Back-ups, Cloud/Data migration, Bug Fixing, 24/7 support 💼 Main principles - Maximal quality of the provided services and the developed software. - Focus on permanent improvement of our team. - Stay tuned at the front edge of modern computer technologies - Apply the most advanced approaches to software development. 👋🏼 I’m open to collaborate. Feel free to get in touch with me and my team to discuss any project implementation — we’ll be happy to share valuable ideas and suggestions!

Full-Stack AI Engineer | SaaS Architect | Blockchain & Automation Specialist $100K+ earned | 80+ projects delivered | 5 live products generating active revenue Most developers ship features. I build systems that scale, retain users, and generate revenue after launch. With 10 years of experience operating at CTO level, I have taken products from zero to paying customers for founders across the US, UK, UAE, and Singapore , across AI SaaS, Web3, automation infrastructure, and complex cloud applications. The projects I am most proud of are not the ones that launched. They are the ones still running two years later without a costly rebuild. That outcome starts with architecture decisions made on day one , before a single line of production code is written. Most technical debt, scaling failures, and security incidents are predictable. My job is to make sure they do not happen to your product. Recent work includes: ✅ RYNANCE: AI trading platform analyzing 200K+ influencers in real time, auto-executing trades on Binance, Bybit, and OKX. 4,287 waitlist users. SOC 2 compliant. 99.9% uptime. ✅ Copin: Copy-trading platform with 105,800+ trades completed in production. ✅ Baby-Sol : Served as CTO. Crossed $100M market cap in 4 weeks. Certik audited at 95%. ✅ Temoc: Web3 content distribution platform. Raised $720K. CTO and Tech Lead. Core expertise: AI & Agentic Systems — OpenAI, Claude, RAG, Voice AI, LangChain, n8n Full-Stack SaaS — React, Next.js, Node.js, Python, PostgreSQL, Supabase Blockchain & Web3 — Solidity, DeFi, NFT platforms, tokenomics design Cloud & Infrastructure — AWS, Azure, GCP, Docker, Kubernetes, CI/CD If you're looking for a technical partner who understands both engineering and product strategy, I'd be happy to discuss your project.

Many AI projects fail not because of the algorithms, but because the underlying scientific or engineering problem is misunderstood. My background allows me to bridge that gap. I hold a PhD in chemistry and technology and have many years of experience working on research, industrial processes, data analysis, and software development. My background includes patents, peer-reviewed publications, and practical industrial experience, allowing me to approach projects from both scientific and engineering perspectives. Over time, my work naturally expanded into machine learning and AI, where I now build solutions for both scientific and commercial applications. I work with clients who need more than someone who can train another neural network. Often the real challenge is understanding noisy experimental data, choosing the right model, designing a reliable workflow, or translating domain knowledge into software. Typical projects include: • Machine learning and deep learning • Large language model applications and AI agents • Scientific data analysis and visualization • Chemometrics and multivariate statistics • Computational chemistry • Spectroscopy, chromatography and mass spectrometry data • Process optimization and modeling • Python software for research and engineering • Custom algorithms and automation I choose technologies based on the problem rather than the other way around. My primary tools include Python (NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Keras), R, MATLAB, and modern cloud technologies whenever they make sense for the project. I enjoy difficult problems, especially when they sit at the intersection of science and software. Some clients come to me with a well-defined specification; others only know that "the data doesn't make sense yet." Both are perfectly fine. Whether you represent a startup exploring a new idea, an established company improving an existing process, or a research group working with complex experimental data, I'll be happy to discuss your project and see whether I'm the right person to help.

I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

🚀 Transform Your Business with Generative AI and Intelligent Automation 🚀 Hello, and thank you for visiting my profile! I am a Generative AI Expert and Machine Learning Engineer with over 8 years of experience in developing and deploying state-of-the-art AI solutions. My mission is to empower businesses with cutting-edge technology that drives growth, automates processes, and solves complex problems. Here’s how I can help you: 🌐 Generative AI-Powered Chatbots Design and develop intelligent chatbots using advanced natural language processing (NLP) techniques and generative AI models (GPT, LLaMA, BERT). Integrate chatbots across platforms (Web, Mobile, Social Media, Voice Assistants) to provide a seamless, user-centric experience. Customize conversational flows using frameworks like MS Bot Framework, Power Virtual Agents, and Voiceflow. 📊 Advanced Machine Learning Solutions Develop and optimize machine learning models (including Transformers, Deep Neural Networks, Random Forest, and SVM) to tackle complex business challenges. Implement state-of-the-art Generative AI models (DALL-E, Stable Diffusion, GPT-4) for content creation, customer support, personalized recommendations, and more. Fine-tune pre-trained models for specific business use cases, ensuring top-tier performance. ⚡ AI Automation and Process Optimization Automate workflows using Make.com, N8N, Zapier, Twilio, Tray.io, Pipedream, and Bardeen, minimizing manual efforts and maximizing efficiency. Implement Low-Code/No-Code AI Automation with tools like Bubble.io, Retool, Appsmith, enabling fast and scalable solutions. Deploy Robotic Process Automation (RPA) with tools like UiPath, Blue Prism, and Automation Anywhere to streamline business operations. 🌍 Cloud-Based AI Solutions Deploy and manage AI solutions on cloud platforms, including AWS, Google Cloud, and Azure, ensuring scalability and reliability. Utilize Docker and Kubernetes for containerized deployment, maintaining robust, scalable, and secure AI environments. 📌 My Core Skills Include: Programming: Python, Java, C++, R Machine Learning: TensorFlow, Keras, PyTorch, Scikit-learn, NLTK, OpenCV, NumPy, Pandas, Matplotlib Cloud & Deployment: AWS EC2, Google Cloud, Microsoft Azure, Docker, Flask Automation: Make.com, N8N, Zapier, Twilio, Tray.io, Boomi, MuleSoft, Microsoft Power Automate, Correzoid, Openwhisk, Google Functions, AWS Lambda Voice Agents: Retell AI, Synthflow, Bland AI, Vapi, Voiceflow, ElevenLabs, Dasha RPA: UiPath, Automation Anywhere, Blue Prism, Robomotion 🚀 Ready to Elevate Your Business with AI? Whether you need a powerful generative AI model, a robust chatbot, or end-to-end workflow automation, I have the expertise to deliver. Let's connect and transform your vision into a reality. ✅ Contact me now to get started!

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.