🚀 PROFILE OVERVIEW Welcome to the forefront of AI and software innovation! As the Founder of Brain.Ai, I bring specialized expertise in Machine Learning, Generative AI, and full-stack development. I transform complex challenges into disruptive solutions, combining advanced LLMs, RAG systems, and comprehensive software development to reshape industries with cutting-edge technology. 💡 CORE EXPERTISE 🤖 AI & Machine Learning Expert in building context-aware virtual assistants using GPT-3/4 and LLaMA models, implementing RAG systems, and leveraging vector stores for enhanced knowledge retrieval. Proficient in CNNs, RNNs, GANs, and Transformers with TensorFlow and PyTorch, specializing in object detection, NLP, recommendation systems, and speech synthesis. 💻 Full-Stack Development Proven expertise in Python, Django, MERN, and MEAN stacks with a business-driven mindset. I deliver scalable, ROI-focused solutions with technologies including React, Redux, Node.js, Express.js, and NextJS, supported by both SQL and NoSQL databases. ☁️ DevOps & Cloud Skilled in AWS, GCP, Azure, Docker, and Kubernetes. Experienced in setting up CI/CD pipelines and implementing serverless architectures for optimal performance and scalability. 🌐 PROJECTS & INNOVATIONS - Pioneered context-aware assistants and RAG systems for enhanced document retrieval - Led transformative NLP projects advancing text understanding and generation - Delivered scalable SaaS products and web applications with business objectives at the core - Driving innovative AI solutions across industries focusing on enhanced user experiences 🔄 MY APPROACH My success formula combines technical expertise with methodical execution: - Deep requirements analysis before implementation begins - Agile development with transparent client communication - Rigorous quality assurance and performance optimization - Strategic scalability planning and dedicated post-launch support ✨ WHY CHOOSE ME? - Business-focused: I code with your goals and ROI in mind - Comprehensive expertise across AI and full-stack development - Long-term partner engaged beyond delivery for growth - Three months of free maintenance support after launch If you think I could be a good fit for your project, let's chat! Click "Invite to Job" or "Message" and let's discuss how I can bring value to your project. 🚀 Keywords: Full Stack Developer | Software Development | SaaS | React.js | Redux | Node.js | Express.js | Python | Django | MongoDB | MySQL | PostgreSQL | NextJS | AWS | Docker | Kubernetes | CI/CD | Tailwind CSS | RESTful APIs | GraphQL | Stripe | PayPal | Machine Learning | Generative AI | LLM | RAG | Computer Vision | NLP

Work 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗮𝘄𝗮𝗿𝗱-𝘄𝗶𝗻𝗻𝗶𝗻𝗴 𝗔𝗜 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 with real-world results from companies like 𝟭𝟬𝗣𝗲𝗮𝗿𝗹𝘀, 𝗗𝗲𝘃𝗩𝗲𝗿𝘀𝗲, 𝗮𝗻𝗱 𝗢𝗽𝗲𝗻𝗔𝘀𝘁𝗿𝗼𝗻𝗼𝗺𝘆. 𝗦𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗴𝗲𝗻𝗲𝗿𝗶𝗰 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗹𝗮𝗰𝗸 𝗰𝗼𝗻𝘁𝗲𝘅𝘁, 𝗳𝗮𝗶𝗹 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲, 𝗼𝗿 𝗱𝗼𝗻'𝘁 𝗮𝗹𝗶𝗴𝗻 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗻𝗲𝗲𝗱𝘀? 🚀 I build custom AI tools – from chatbots to RAG systems, image AI, and voice solutions – that are tailored to your data, goals, and users using top-tier tools like LangChain, FAISS, and Hugging Face. 🔍 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✔️ AI Chatbots (GPT/LLMs) ✔️ Voice AI (TTS & STT) ✔️ RAG (Retrieval-Augmented Generation) ✔️ Image Generation (Diffusion, LoRA) ✔️ AI Agents (Autonomous Task Handlers) ✔️ Fine-tuning Custom Models ✔️ AI App Development (End-to-End) 🧠 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 ✔️ Artificial Intelligence ✔️ Machine Learning ✔️ Deep Learning ✔️ NLP & LLMs ✔️ LangChain, Vector DBs ✔️ TensorFlow, PyTorch, OpenAI, Hugging Face ✔️ Embeddings (OpenAI, BGE, etc.) ✔️ FastAPI, Streamlit ✔️ Data Preprocessing, Model Optimization 🛠️ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿 👉 AI Chatbot Development (support, e-commerce, health, etc.) 👉 Custom RAG Systems from PDFs, Docs, Notion, Websites 👉 Voice AI: Text-to-Speech & Speech-to-Text Apps 👉 Image AI: Fashion & Design Generators 👉 Fine-tuning Models with LoRA, PEFT 👉 End-to-End AI App Deployment (Streamlit/FastAPI) 🧑‍💻 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 📍 10Pearls – Data Science Intern 📍 DevVerse IT Solutions – AI Developer (RAG + Image AI) 📍 GAOTek Inc. – AI Research Intern 📍 DeveloperHub Corp. – ML Intern (NLP + Vision) 🏭 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗦𝗲𝗿𝘃𝗲𝗱 ✔️ Fashion Tech ✔️ SaaS & Automation ✔️ E-commerce ✔️ Customer Support ✔️ Healthcare ✔️ Education Tech 🌐 𝗗𝗼𝗺𝗮𝗶𝗻𝘀 𝗜 𝗪𝗼𝗿𝗸 𝗜𝗻 ✔️ Generative AI ✔️ Conversational AI ✔️ Intelligent Agents ✔️ Document Intelligence ✔️ Voice Interfaces ✔️ AI for Design & Creative Workflows 🧰 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 🛠️ LangChain, FAISS, ChromaDB 🛠️ OpenAI, Hugging Face, Replicate 🛠️ TensorFlow, PyTorch 🛠️ Streamlit, FastAPI 🛠️ TTS/STT (Whisper, ElevenLabs) 🛠️ LoRA, Transformers, Embeddings 🛠️ Python, Pandas, Scikit-learn 🚀 Let’s Build Your AI Solution Today! 🟢 Ready to build an AI product that actually works for your business? 📅 Send an invite or message me now – I respond quickly and deliver quality on time. Let’s make your AI vision a real-world solution. 🔑 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 AI chatbot, AI agent, voice AI, image generation, RAG system, LangChain, FAISS, LLM, GPT-4, NLP, OpenAI, Hugging Face, Whisper, TTS, STT, autonomous agents, vector database, embeddings, deep learning, machine learning, conversational AI, Python, TensorFlow, PyTorch, FastAPI, Streamlit, LoRA, fine-tuning, diffusion models, chatbots for websites, multimodal AI, fashion tech AI, AI assistant, chatbot developer, AI app development, generative AI, document AI, Open Source AI, BGE embeddings

I help businesses grow by turning AI into an competitive advantage. Through automating customer support and capturing qualifying leads which increases company's revenue. The AI will be there at 2am to answer client's questions and keep them interested while human customer service isn't there to do so. In addition, helping building the whole backend and frontend infrastructure and deployment that makes everything run. On the technical side, I specialize in AI-integrated applications, production-grade web apps (fintech, e-commerce, and more), and have deployed 5+ production systems and integrated 50+ MCP tools across different platforms and organizations. I can build an MCP for almost anything and connect it to any LLM. My work doesn't stop at code, I think about the business outcome first. If you need to scale customer acquisition, reduce support load, or automate workflows that are eating your team's time, that's exactly where I work best.

🚀 Computer Vision | NLP | AI Engineer | Machine Learning & Deep Learning | AI SaaS & Automation Bringing AI-Powered Innovation to Enterprises I am an AI engineer with over 11 years of experience in developing deep learning solutions, natural language processing, and computer vision. My journey in AI started more than a decade ago, working on advanced projects that helped businesses automate processes, analyze data, and make smarter decisions. Four years ago, I joined Upwork to offer my expertise globally, successfully delivering impactful projects in areas such as: ✅ Text classification and sentiment analysis using advanced NLP models ✅ AI-driven cybersecurity solutions for IoT network traffic analysis ✅ Medical image analysis using CNN-based models for enhanced diagnostics I took the challenge. I optimized the dataset, fine-tuned an Arabic NLP model, and streamlined the preprocessing pipeline. Within days, the classification accuracy improved significantly, and the client was thrilled. Soon, larger companies started noticing my work. Then came a cybersecurity firm struggling with IoT traffic vulnerabilities. Their system was unable to detect threats effectively. I built a CNN-based model that analyzed real-time network traffic, improving threat detection accuracy by 40% while reducing false positives. Another client, a healthcare startup, faced challenges in medical image analysis. I developed a deep learning model using CNNs for ultrasound image quality assessment, ensuring reliable diagnostics. This solution reduced errors and improved medical imaging workflows. One of my most demanding projects involved incremental learning for AI models. The challenge was to update a deep learning model with new data without forgetting previous knowledge. By implementing advanced transfer learning techniques, I ensured the model retained past insights while adapting to new patterns. That $50 project was more than just a small job—it set me on a path to solving complex AI problems and driving impactful innovation. And this? It’s just the beginning. Now, We Build AI Solutions for Enterprises Worldwide Today, I lead a team of AI specialists, delivering state-of-the-art solutions in machine learning, deep learning, NLP, and computer vision. We help businesses leverage AI to optimize operations, automate workflows, and gain actionable insights from data. What We Build 💻 AI-Powered SaaS Platforms – Scalable solutions for high-performance applications 🤖 AI Automation & AI Agents – Smart AI-driven automation to reduce costs & enhance efficiency 📊 Predictive Analytics & Data Science – Transforming raw data into business intelligence 🔍 Computer Vision & Image Analysis – AI models for real-time image recognition & processing 📝 Natural Language Processing (NLP) – Sentiment analysis, text classification, and chatbots 🔐 Enterprise Security & AI Compliance – Ensuring robust cybersecurity with AI-driven solutions AI Automation Services 🚀 AI-Driven Workflows Powered by Python, TensorFlow, and PyTorch 🔹 Automated Text Analysis – AI-driven document classification & sentiment analysis 🔹 Cybersecurity Automation – AI models for anomaly detection in IoT network traffic 🔹 Medical AI – Deep learning for medical image quality enhancement & analysis 🔹 AI-Based Chatbots – Intelligent virtual assistants for seamless customer interaction 🔹 Computer Vision for Industrial Automation – AI models for defect detection & quality control Real-World Impact 🚀 3X Efficiency – AI models optimizing processes & reducing manual workload 📊 40% Cost Reduction – AI automation improving business scalability 📈 30% Higher Accuracy – Advanced ML models for data-driven decision-making 🔐 100% Compliance – AI-powered security ensuring regulatory standards Tech Stack 🔹 Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Keras 🔹 NLP: Transformers, BERT, AraBERT, GPT, spaCy 🔹 Computer Vision: OpenCV, YOLO, Detectron2 🔹 Big Data & Cloud: AWS, Google Cloud, Kubernetes 🔹 Development: Python, Flask, FastAPI, Django 🔹 AI Automation: Zapier, n8n, custom AI workflows We collaborate with enterprises, startups, and research teams to build AI-powered solutions that drive innovation and efficiency. 📩 Let’s Build Something Great! If your business needs AI-powered automation, deep learning models, or cutting-edge data solutions, let’s connect. Send me a message today! Keywords AI Engineer | Machine Learning | Deep Learning | NLP | Computer Vision | AI SaaS | AI Automation | AI Chatbots | Data Science | Predictive Analytics | TensorFlow | PyTorch | Transformers | AraBERT | OpenAI API | Cybersecurity AI | Medical AI | Image Processing | AI Workflow Automation

Expert-Vetted (Top 1%) | 100% Client Satisfaction | 100% Job Success I build software that requires rigorous mathematical depth, AI, ML and/or data analytics expertise, and production-ready deployment capability - the combination most teams need three or more separate specialists for. Every system I build goes to production. Deployed solutions running real operations across healthcare, legal, finance, maritime, industrial, and scientific applications. --- ## What Sets Me Apart - Rare Combination: PhD in AI & Systems Engineering + Chartered Mathematician (UK) + 15+ years shipping production systems. I build the ML, and deploy to production - as one person. - Domain Versatility: I've delivered production systems across radically different industries because my depth is in methodology, not a single vertical. Clients hire me when the problem is hard and needs to actually work. - Agentic AI Architect: I design and deploy multi-agent workflow systems that autonomously reason, plan, and execute complex tasks across enterprise domains. - Proven Track Record: 100% client satisfaction on Upwork. Every client has extended, returned, or referred. --- ## Why Clients Choose Me - "We need three people for this" → I'm one person who architects, builds, and deploys. - "Our data scientists can't ship" → Every system I build runs in production. - "This problem is too complex" → I've crossed healthcare, legal, maritime, and industrial domains. Novel problems are my specialty. --- ## Production Deployments (Selected) ### Healthcare & Medical AI - Surgical segmentation system for a US hospital :- ultrasound vein/artery detection deployed on Nvidia Jetson edge device, used in live surgery - FDA 510(k) submissions for AI-enhanced medical imaging :- multiple successful clearances at GE Healthcare - Clinical AI at NHS Barts Health Trust (Europe's largest cardiovascular centre) :- 50,000+ patient records, 88% diagnostic accuracy - Biomarker risk scoring platform :- 28 health dimensions from 118 blood biomarkers, end-to-end from ingestion to reporting ### Legal AI - Case analysis system providing lawyer-grade advice - RAG architecture with case law retrieval, deployed and serving clients in Canada - Document intelligence for contract analysis - 70% efficiency gains for law firm operations ### Maritime & Industrial - Ship fuel optimisation :- ML model identifying optimal ports based on fuel energy content, not just price - 6-hour-ahead location prediction :- real-time forecasting using weather and oceanographic parameters for Gulf of Mexico operations - Industrial process AI :- distillation plant optimisation, hot rolling mill control systems --- ## Technical Depth - AI/ML: PyTorch, TensorFlow, custom neural architectures, transformers, computer vision, NLP, time-series forecasting, optimisation algorithms - Production Systems: AWS/GCP cloud deployment, edge devices (Nvidia Jetson), real-time pipelines, microservices, Docker, Kubernetes - Healthcare Specific: DICOM, HL7 FHIR, EHR integration, biosignal processing, FDA regulatory submissions, HIPAA/PIPEDA/GDPR compliance - Agentic AI: Multi-agent systems, RAG architectures, LLM integration (Claude, GPT-4), Model Context Protocol - Mathematical Foundations: Signal processing, Bayesian statistics, causal inference, control theory - deriving solutions from first principles --- ## Credentials - PhD in AI & Systems Engineering - Chartered Mathematician (UK) - professional certification requiring rigorous examination - 20+ peer-reviewed publications in clinical AI and medical imaging - Multiple FDA 510(k) clearances - Systems deployed to 200+ hospitals --- ## Industries & Applications - Primary: Healthcare & Medical Devices (diagnostic AI, clinical decision support, medical imaging, FDA submissions) · Legal Tech (document intelligence, case analysis, contract AI) · Maritime & Logistics (route optimisation, fuel analytics, predictive systems) · Scientific Computing (biosignal processing, risk modelling, complex simulations) - Secondary: Financial Services (document extraction, risk modelling) · Industrial (process optimisation, predictive maintenance, safety systems) · Aerospace (systems engineering, reliability analysis) --- ## Engagement Model - Rate: $200–300/hour depending on complexity and engagement length - Availability: Selective - I take projects where my expertise genuinely matters - Working Style: Direct communication, clear milestones, results-focused collaboration. --- ## The Bottom Line If it requires AI, ML, data science expertise, and production deployment across a specialised domain - and it actually needs to work - that's exactly what I do. Let's discuss your challenge.

I am a dedicated ML / AI Engineer with over 2 years of experience in Python, Flask, FastAPI, Django, and Generative AI, continuously learning and honing my skills to stay at the cutting edge of technology. As a freelancer, I am committed to delivering high-quality solutions for my clients, bringing a strong foundation in Python development and diverse technical skills to each project. Expertise: • Python Development: Extensive experience in building and deploying applications using Python. • Web Frameworks: Proficient in Flask and FastAPI for developing scalable and efficient web applications. • Deep Learning & Machine Learning Frameworks: Skilled in PyTorch, TensorFlow, and Scikit-Learn for creating and optimizing machine learning models. • Data Science & Visualization: Expertise in Pandas, NumPy, Matplotlib, and OpenCV for data manipulation, analysis, and visualization. • Deployment & DevOps: Hands-on experience with Docker and Anaconda for creating reproducible environments and deploying applications. • Vector Databases: Knowledgeable in Pinecone and ChromaDB for managing and querying high-dimensional data. • Feature Store Management Services: Efficient management of reusable feature sets for robust machine learning pipelines. AI / ML Specializations: • Machine Learning Algorithms: Proficient in SVM, KNN, Regression, Decision Trees, Random Forest, Ensemble methods, and Time Series Analysis. • Deep Learning Architectures: Experience with ANN, CNN, YOLO, LSTMs, RNNs, Transformers and Transfer Learning for various AI applications. • LLM API Integration: Skilled in integrating OpenAI, Gemini, and Claude models using their APIs for production applications, covering prompt engineering, response optimization, rate-limit handling, and performance monitoring. • Generative Models: Proficient in working with diffusion models, GANs, and transformer-based generative architectures for image synthesis, inpainting, and style transfer, with experience in LoRA fine-tuning for model adaptation. • NLP & LLMs: Understanding of NLP tools such as Spacy, NLTK, NER, word2Vec, and TF-IDF; experience with LLMs like Gemini, GPT, Open Source LLMs for advanced language processing tasks. • Text-to-Speech & Speech-to-Text Models: Proficient in developing and fine-tuning speech processing applications, with hands-on experience utilizing Synthflow AI's customizable voice agents and ElevenLabs' advanced multilingual text-to-speech and speech-to-text technologies. • Retrieval-Augmented Generation (RAG): Proficient in integrating retrieval systems with generative models for enhanced AI-driven solutions, including hands-on experience with Multimodal RAG techniques that combine text, images, and audio inputs to improve contextual understanding and response accuracy. Feel free to contact me anytime to discuss how I can contribute to your project. Let's create something great together!

I help research teams and biotech companies turn complex clinical and genomic data into clear, publication-ready insights. With a unique background as a former dentist, I don't just see the numbers; I understand the clinical context behind them. I specialize in designing and executing hypothesis-driven research projects. My work begins with processed genomic or clinical data (e.g., from TCGA, GEO, or your own lab), from which I generate deep biological insights using advanced statistical and machine learning models in R. My Core Services: Bioinformatics & Genomics: Downstream analysis of large-scale datasets (TCGA, GEO), gene expression & RNA-Seq analysis, and biomarker discovery. Clinical Biostatistics: Survival analysis (Kaplan-Meier, Cox Models), clinical trial data analysis, longitudinal studies, and analysis of real-world data (EHR). Machine Learning: Building and validating predictive models in R (tidymodels, caret) to stratify patients or predict clinical outcomes. Data Visualization & Reporting: Creating clear, publication-quality figures (ggplot2) and interactive dashboards (Power BI) that tell a compelling story. If you need a research partner who can handle the entire high-level data analysis portion of your project—from hypothesis to publication—let's connect.

I am a Machine Learning Engineer with four years of experience working across deep learning research, large scale AI systems, and production model deployment. Over the years, I have worked extensively in medical imaging, computer vision, NLP, signal processing, and large language models, building systems that range from experimental research pipelines to deployed real world AI applications. My day to day work primarily involves Python, PyTorch, TensorFlow, Keras, HuggingFace Transformers, sentence transformers, scikit learn, OpenCV, Pandas, and NumPy. I enjoy working deeply on both the research and engineering sides of machine learning, especially problems that require understanding model behavior rather than simply applying existing architectures blindly. A large part of my background is research driven. I have authored multiple peer reviewed publications in indexed journals and IEEE conferences, including publications in Neurocomputing, Healthcare Analytics, Engineering Applications of Artificial Intelligence, Telematics and Informatics Reports, and other Elsevier and IEEE venues. My research has focused heavily on explainable AI, healthcare AI, and advanced deep learning systems. Some of my published work includes CARDxnosis, an explainable knowledge driven framework for ECG diagnosis and clinical report generation, an explainable AI system for trustworthy arrhythmia detection, a CNN RNN Attention hybrid architecture for automatic modulation classification, ensemble deep learning approaches for lung cancer detection from CT scans, and SRGAN based white blood cell image generation and classification pipelines. Alongside published work, I am currently involved in research on brain tumor segmentation, ADHD and ASD classification from brain connectome graphs, epileptic seizure prediction from EEG signals, and interpretable tabular learning using graph neural networks combined with Kolmogorov Arnold Networks. Beyond research, I have substantial hands on experience building and deploying production grade AI systems. One of my major recent projects was LaborBERT v4, a domain adaptive transformer fine tuning system processing hundreds of thousands of records through a large scale training pipeline. The project involved multiple experimental setups including contrastive learning, masked language model pretraining, temporal contrastive learning, cross attention based fusion, multi task training, and Matryoshka Representation Learning. I have also built hybrid embeddings plus LLM systems for taxonomy mapping using OpenAI embeddings alongside locally hosted LLaMA and Mistral models through Ollama. In addition, I have worked on deployed clinical AI systems and a portable on device diagnostic AI solution with embedded deep learning models for point of care inference, which gave me valuable experience in optimization, deployment constraints, inference design, and production reliability. My broader project portfolio includes vehicle detection using Mask R CNN, human activity recognition on the Kinetics 700 dataset, facial keypoint detection with MultiRes UNet, semantic segmentation pipeline redesign, Stable Diffusion based image editing workflows, toxic comment classification, RASA based conversational AI systems, and large scale scraping and automation pipelines using Playwright and Selenium. I have also worked with Flask and Django based deployment pipelines and cloud hosted ML systems. From an engineering perspective, I care strongly about clean and maintainable systems. I follow disciplined workflows involving modular code design, Git based version control, reproducible experimentation, structured evaluation, bootstrap validated metrics, and detailed documentation. I am also comfortable preparing scientific reports, research papers, and journal submissions using both LaTeX and Word. What ties all of this together is that I genuinely enjoy solving difficult technical problems, especially the kind that require balancing research depth with practical engineering constraints. I am most motivated by projects where thoughtful experimentation, careful system design, and real world usability matter equally.

I help startups, SaaS companies, and enterprise teams automate workflows, improve knowledge retrieval, and deploy production AI systems that deliver measurable business outcomes. I build production-grade AI agents, multi-agent systems, and RAG platforms that remain reliable in production long after deployment. Verified Upwork track record: 147 jobs delivered, 7,000+ hours, 100% Job Success, Top Rated, 5.0 across 133 reviews. — What I specialize in — Plenty of AI developers can wire up a chatbot. I focus on building AI systems that solve real business problems and hold up in production. • AI agents & multi-agent systems — orchestration, tool calling, LangGraph • Advanced RAG — hybrid search, GraphRAG, reranking, hallucination control, RAGAS evaluation • LLM applications & copilots, including MCP (Model Context Protocol) integrations • Fine-tuning (LoRA / QLoRA / PEFT) and inference optimization • A full ML / CV / NLP foundation underneath, so I solve the problem the way it actually needs solving — not just the way that fits one tool — Recent work — • HirePilot AI — an AI-native talent marketplace (SaaS) running the full hiring pipeline: candidate matching, resume parsing, technical assessments, interview management, and recruiter verification across dedicated candidate, employer, recruiter, and admin portals. The platform processes thousands of candidate profiles and reduces manual screening from hours to minutes. • Enterprise multi-agent GraphRAG platform unifying documents, databases, Jira, and Confluence with hybrid retrieval, graph reasoning, and answer verification. RAGAS-based evaluation improved answer quality by more than 25% while significantly reducing hallucinations across thousands of enterprise documents. • SmartSupportAI — an intelligent customer-support system (n8n, Gemini, Pinecone, Google Drive) that automatically detects new and updated manuals, FAQs, and knowledge-base content, keeping answers aligned with the latest documentation. Reduced document search time by approximately 75% and eliminated a large portion of repetitive support queries. • MCP-based financial research assistant with custom MCP servers integrating market data, news, and technical indicators, enabling multi-agent research workflows and faster investment analysis. • Multi-agent healthcare assistant automating patient workflows including department routing, appointment booking and modification, prescription explanations, patient-history retrieval, and seamless human escalation. • Medical image segmentation for cancer detection using deep learning, achieving strong validation performance, alongside an OCR and computer-vision pipeline for extracting measurements from architectural and construction drawings. Domains delivered in: recruitment, healthcare, finance, e-commerce, IoT, and manufacturing. — Why clients hire me, and rehire me — When you hire me, you work directly with the engineer building the solution. • 147 completed projects backed by a 100% Job Success Score • Production deployments that continue delivering value after handoff • Direct technical ownership from architecture through deployment • Fast iteration with working prototypes delivered early • Honest scoping — I'll tell you when AI isn't the right answer before you spend money on it — Tech — Python, LangGraph / LangChain, n8n, OpenAI / Claude / Gemini, MCP, Pinecone / Weaviate / FAISS, Neo4j, FastAPI, Docker, AWS / Azure / GCP. — Let's talk — If you need an AI agent, MCP integration, production RAG platform, or custom LLM application, send me a message describing the problem you're trying to solve. I'll tell you how I'd approach it, what I'd recommend, and whether I'm the right fit for the project.

🔹 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.