- 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!

I help startups and enterprises build production-ready AI products, intelligent automation systems, LLM applications, and data-driven SaaS platforms. Strong expertise in Artificial Intelligence, Machine Learning, Data Science, Generative AI, Computer Vision, NLP, and Full Stack Development. I build complete AI solutions—from data engineering and model training to scalable APIs, modern web applications, and cloud deployment. 🚀 Core Expertise AI, Machine Learning & Data Science -------------------------------------------- Machine Learning, Deep Learning, Generative AI PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM NLP, Computer Vision, OCR YOLO, OpenCV Time Series Forecasting Predictive Analytics Recommendation Systems Classification, Regression, Clustering Feature Engineering Model Optimization & Fine-tuning Statistical Analysis A/B Testing Data Mining Explainable AI (XAI) LLMs & Agentic AI ---------------------- OpenAI (GPT-4o/o3/o4) Claude Gemini Llama Mistral DeepSeek Grok LangChain LangGraph LlamaIndex CrewAI AutoGen AI Agents Multi-Agent Systems Agentic Workflows MCP (Model Context Protocol) RAG Pipelines Prompt Engineering Function Calling Structured Outputs Semantic Search Embeddings Fine-tuning Data Engineering --------------------- ETL / ELT Pipelines Apache Airflow Apache Kafka Data Warehousing Data Lakes Batch & Real-time Processing Data Cleaning Feature Stores Web Scraping Selenium Scrapy Pandas NumPy PySpark Vector Databases ---------------------- Pinecone Weaviate Milvus ChromaDB FAISS Qdrant Full Stack Development ---------------------------- Python FastAPI Django Flask Node.js Express.js NestJS React Next.js TypeScript JavaScript Tailwind CSS REST APIs GraphQL Microservices WebSockets Databases ------------- PostgreSQL MySQL MongoDB Redis Elasticsearch DynamoDB Firebase Cloud & DevOps ------------------- AWS Azure Google Cloud Platform (GCP) Docker Kubernetes Terraform GitHub Actions CI/CD Linux Nginx I Build ✔ AI SaaS Platforms ✔ AI Agents & Multi-Agent Systems ✔ LLM Applications ✔ RAG Knowledge Assistants ✔ AI Chatbots & Copilots ✔ Machine Learning Models ✔ Computer Vision Solutions ✔ Predictive Analytics Platforms ✔ Recommendation Engines ✔ Fraud Detection Systems ✔ Forecasting Models ✔ Document Intelligence & OCR ✔ Data Pipelines & ETL Systems ✔ Enterprise Dashboards ✔ Cloud-native Applications Why Hire Me End-to-end ownership from idea to production Strong AI, ML, Data Science, and Software Engineering expertise Scalable architecture designed for real-world production Clean, maintainable, and high-performance code Fast communication and long-term technical partnership Keywords AI Engineer • Machine Learning Engineer • Data Scientist • Generative AI • Full Stack AI Developer • LLM Engineer • Python Developer • FastAPI • Django • React • Next.js • OpenAI • Claude • Gemini • LangChain • LangGraph • AI Agents • RAG • NLP • Computer Vision • YOLO • PyTorch • TensorFlow • Scikit-learn • XGBoost • Data Engineering • ETL • Airflow • Kafka • Vector Database • Pinecone • PostgreSQL • Docker • Kubernetes • AWS • Azure • GCP • SaaS Development If you're looking for an engineer who can design, build, deploy, and scale AI-powered products that solve real business problems, I'd be happy to discuss your project.

💵$𝟏𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 | 🎖️𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 | 🛡️ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 As a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐍𝐋𝐏 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟕+ 𝐲𝐞𝐚𝐫𝐬 of hands-on expertise, I work across NLP, AI Agent Development, Neural Networks, Predictive Modeling, and Python while delivering 𝐇𝐈𝐏𝐀𝐀 𝐚𝐧𝐝 𝐆𝐃𝐏𝐑-𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 systems across healthcare, fintech, real-estate, and retail. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭: -- 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: I have built a Rasa Core system where dataset balancing and custom vectorization pushed 𝐢𝐧𝐭𝐞𝐧𝐭 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐟𝐫𝐨𝐦 𝟔𝟏% 𝐭𝐨 𝟖𝟑% on an imbalanced dataset, deployed on PyTorch, NGINX, and PostgreSQL. -- 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: I led the development of a healthcare AI calling agent that handles outbound insurance verification autonomously by extracting 𝟕𝟎+ 𝐝𝐚𝐭𝐚 𝐩𝐨𝐢𝐧𝐭𝐬 𝐩𝐞𝐫 𝐜𝐚𝐥𝐥, cutting admin workload by 𝟖𝟎% and verification time from 𝟐 𝐝𝐚𝐲𝐬 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫 𝟒 𝐡𝐨𝐮𝐫𝐬. -- 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: I have built real-time prediction dashboards and analytical pipelines that turn raw signals into operational decisions. My recent work covers time-series forecasting, classification at scale, and anomaly detection across noisy, real-world data sources. The typical engagements achieve 𝟖𝟓% 𝐭𝐨 𝟗𝟏% 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 on production data after rigorous validation, with reporting 𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐜𝐮𝐭 𝐛𝐲 𝟓𝟎% 𝐭𝐨 𝟔𝟎% compared to legacy batch-processing setups through distributed computing and cloud-native architectures. -- 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: I have built production-grade systems in PyTorch, TensorFlow, and Scikit-learn while leveraging classification, sequence modeling, and NLU with full cross-validation before anything reaches production. I work well with clients who have hard problems, messy data, and need someone who can explain what the model is doing and why. 📩 Message me and I'll respond as soon as possible with a straight answer on whether I can help and what the approach looks like. Let's build something big together! 🚀

𝗔𝗕𝗢𝗨𝗧 𝗠𝗘: I build production grade computer vision and live video analytics systems along with detection, segmentation, classification, tracking, and real-time inference that work in real-world workflows, not just notebook prototypes. With 4+ years of experience across Machine Learning, Computer Vision, NLP, and Cloud AI, I develop systems that work with images, videos, live streams, and business data from data preparation and model training to production integration and deployment. My Computer Vision work includes object detection, instance and semantic segmentation, classification, object tracking, automated annotation, and live video analytics using YOLO, YOLOv8, YOLOv11, PyTorch, Python, OpenCV, CVAT, and Roboflow. I have built live video analytics pipelines that process incoming video streams, run computer vision inference on video frames, extract visual information, and generate analytics for downstream workflows. This includes real-time frame processing, detection and segmentation, tracking across frames, and video-based visual analysis. On the Generative AI side, I build RAG systems, AI agents, enterprise knowledge assistants, conversational AI applications, and workflow automation using modern LLM technologies. Recent production work: 98% Dice score on brain tumor segmentation (MRI) using U-Net, RAAGR2-Net, DeepLabV3, and SegFormer—from scratch in PyTorch (benchmarking for clinical accuracy). 95% accuracy car damage classifier deployed on VROOM Cars (production environment). 92% top-1 accuracy food classifier across 101 categories via ViT fine-tuning. RAG chatbot that reduced support workload by 27% using PDF knowledge bases, ChromaDB, and FastAPI. SERVICES ✅ AI Data Annotation & Labeling MRI, video, and image annotation for computer vision pipelines — bounding boxes, semantic masks, and clinical labeling using LabelStudio, Roboflow, and CVAT. Medical-grade accuracy for production pipelines. ✅Computer Vision and Live Video Analytics 1. Object detection and image segmentation. 2. YOLO, YOLOv8, and YOLOv11 solutions. 3. Instance and semantic segmentation. 4. Real-time live video analytics. 5. RTSP, webcam, recorded-video, and stream processing. 6. Frame-level inference and video preprocessing. 7. Object detection and tracking across video frames. 8. People, vehicle, product, and asset monitoring. 9. Video-based visual analytics. 10.Automated image and video annotation. 11. AI-assisted auto-labeling pipelines. 12. Model training, fine-tuning, and error analysis. 13. Inference optimization and production integration. ✅ AI Agents & Agentic Workflows 1. Single-Agent & Multi-Agent Systems 2. LangGraph Agent Development 3. MCP (Model Context Protocol) Integrations 4. Tool Calling & Function Calling Agents 5. Autonomous Research & Task Execution Agents 6. AI Workflow Automation ✅ RAG & Enterprise Search 1. Retrieval-Augmented Generation (RAG) 2. Enterprise Knowledge Assistants 3. Internal Documentation Chatbots 4. PDF, SharePoint, Confluence & Website Search 5. Hybrid Search (Vector + Keyword) 6. Agentic RAG Architectures ✅ Conversational AI & Voice AI 1. AI Chatbots 2. Customer Support Assistants 3. AI Voice Agents 4. Call Center Automation 5. Real-Time Speech-to-Speech Applications 6. Voice Ordering & Appointment Booking Systems 𝗟𝗘𝗧'𝗦 𝗖𝗢𝗟𝗟𝗔𝗕𝗢𝗥𝗔𝗧𝗘: ✅ Every deliverable includes 10 days of post-delivery support — no one-off fixes ✅ Available 50+ hours/week with a 4-hour response guarantee ✅ All systems are production-deployed, not notebook experiments Send your project details and I will respond within 4 hours with a clear technical approach and timeline.

I'm a Python backend engineer who builds and ships production-grade systems, with a specialization in deploying Machine Learning, Computer Vision, and LLM/AI models into real, scalable applications for healthcare and insurance companies. With 5+ years of experience, I design backend architectures and APIs that take AI/ML models from research notebooks to reliable production systems used by real users, with a strong focus on healthcare and insurance use cases: Backend & API development: FastAPI, Flask, scalable REST APIs, microservices, cloud deployment (AWS, Docker) ML/AI production pipelines: model serving, quantization, inference optimization, CUDA-accelerated deployment Computer Vision systems: object detection, segmentation, classification, medical image analysis, video analytics LLM/VLM & Agentic AI backends: RAG pipelines, multimodal AI, AI chatbots, intelligent assistants (LangChain, LangGraph, Hugging Face) Document AI & NLP: OCR, speech-to-text/text-to-speech, end-to-end automation pipelines Healthcare & insurance domain experience: medical imaging, cancer detection, insurance analytics, predictive modeling, maternal mortality risk, bio-age prediction Tech stack: Python, FastAPI, Flask, Docker, AWS, CUDA, PyTorch, TensorFlow, Scikit-learn, OpenCV, Hugging Face, LangChain, LangGraph, JavaScript/TypeScript, Node.js, Next.js, React.js, Electron, Tauri, PyQt If you need a backend that can actually carry AI/ML in production for healthcare or insurance, not just a model that works in a notebook, let's build it.

Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

✅ $300K+ Earned | Top Rated Plus | 8,000+ Hours | 38 Jobs | 100% Job Success I build production-grade LLM, RAG, and AI Agent systems. Not prototypes. Not API wrappers. Real Python pipelines, deployed on AWS, handling real traffic. If your AI needs to actually work in production, let's talk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM AND GENERATIVE AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ End-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, LLaMA, and Mistral. Full RAG pipelines over your documents, databases, and knowledge bases. AI Agents and multi-agent workflows built on LangChain, LangGraph, and LlamaIndex. LLM fine-tuning with LoRA, QLoRA, PEFT, RLHF, and DPO on open-source models. Prompt engineering, tool calling, memory patterns, guardrails, tracing, and LLM evaluation harnesses. If your team is moving an LLM prototype to production, this is exactly where I work. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ FASTAPI AND DJANGO BACKENDS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FastAPI and Django are my backend stack of choice for AI-powered services. → Async REST APIs: FastAPI + Pydantic + SQLAlchemy + PostgreSQL → Scalable Django backends: DRF, Celery, Redis, multi-tenant SaaS architecture → FastAPI as the serving layer for LangChain, RAG, and agent endpoints → Auth systems: JWT, OAuth2, RBAC → Microservices, Docker, Kubernetes, CI/CD via GitHub Actions and GitLab CI → Swagger / OpenAPI documentation, clean architecture, full test coverage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙️ VOICE, AUDIO, VIDEO AND TEXT AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Voice AI agents and real-time speech pipelines (Whisper, AssemblyAI, Deepgram, ElevenLabs, VAPI, Retell AI) → STT / TTS integration, NLP, NER, and multimodal LLM pipelines → Computer Vision: YOLO, OpenCV, CNNs, Vision Transformers → Diffusion pipelines and image / video generation workflows → Audio transcription, classification, and processing at scale ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 ML, MLOPS AND VECTOR SEARCH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ML Stack: PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost Vector DBs: Pinecone, Weaviate, Milvus, FAISS, pgvector, Elasticsearch Serving: vLLM, TGI-style inference, batching, caching, routing, streaming responses MLOps: MLflow, DVC, Prefect, Ray, eval harnesses, regression testing, tracing Cloud: AWS (SageMaker, EKS, EC2, Lambda, Bedrock, DynamoDB, CloudFront), Terraform, GPU providers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 WHAT MAKES ME DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI freelancers deliver a Jupyter notebook or a thin wrapper around an API. I architect and ship the full system. I have 14+ years of engineering experience and a background as a Fractional CTO and AI/ML Team Lead. I have led teams and personally written the code. I think in systems, delivery, and cost control, not just individual features. At Alethea AI, I was part of the team that built a cloud-native architecture on AWS capable of accommodating 30 million visitors, highlighted in an official AWS case study. The platform publicly closed a $16M token sale. That is the level of production reliability I bring to every engagement. ✔ Architecture designed for scale from day one ✔ Clean code, full documentation, and production observability ✔ I write the code myself, no offshoring your project ✔ Reliable delivery: timelines, milestones, and accountability ✔ Cost-controlled cloud and GPU workloads ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤝 WHO I WORK WITH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Startups validating AI-first MVPs fast. Scaleups moving LLM prototypes to production. Product teams that need a senior AI/ML engineer who can own the full stack, from fine-tuned model to FastAPI endpoint to deployed AWS service. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📩 Message me with your current state, timeline, and constraints. If I can help, I will tell you exactly how, usually within a few hours.

✅ TOP RATED PLUS — Top 3% on Upwork ✅ 100% Job Success Score (122 jobs, $600K+ earned) ✅ Kaggle Expert — Ranked Top 4% Globally (#2,226 of 59,691) — Bronze Notebook Medal ✅ IBM Certified — Machine Learning & Data Science ✅ Built apps with 300,000+ downloads Most clients want AI that actually works — not demos, not prototypes that break in production, not off-the-shelf tools wrapped in a fancy UI. I build ML models, RAG pipelines, NLP systems, and AI chatbots that solve real business problems. I combine 10+ years of software delivery experience with hands-on machine learning expertise — so I speak both the technical and business language fluently. The bar doesn't change. The results do. 🤖 AI & Machine Learning ▸ Predictive Models — XGBoost, LightGBM, CatBoost, Random Forest, scikit-learn ▸ Deep Learning — PyTorch, TensorFlow, Keras, CNNs, Neural Networks ▸ Classification, Regression, Anomaly Detection, Time Series 🧠 LLMs & NLP ▸ RAG Pipelines — ChromaDB, Pinecone, FAISS, vector search ▸ LangChain, LlamaIndex, OpenAI API, Claude API, HuggingFace ▸ Chatbots, Document Q&A, Text Classification, Sentiment Analysis ▸ NLP — BERT, Transformers, Named Entity Recognition, Text Summarization 📊 Data Science & Analytics ▸ Pandas, NumPy, Matplotlib, Seaborn, EDA, Statistical Analysis ▸ Feature Engineering, Hyperparameter Tuning, Cross-Validation ▸ Data preprocessing, cleaning, and pipeline design 🛠 Tools & Deployment ▸ Python, SQL, Git, GitHub, Jupyter Notebook ▸ FastAPI, Docker (basic), REST API integration ▸ Google Cloud, AWS (exploring) 🏆 Selected Projects ▸ Bankruptcy Prediction System: Built end-to-end classification pipeline across 6,819 companies × 94 financial features — XGBoost ROC-AUC 0.9367, stacked ensemble AUC 0.923. Reduced false positives via threshold optimization, flagging 109/220 high-risk entities. ▸ Mindfulness App (300K+ Downloads): Designed and built iOS/Android app now ranking above Calm and Headspace in the Greek App Store. End-to-end — design, development, ASO, deployment, maintenance. ▸ Pneumonia Detection: CNN-based anomaly detection system using PyTorch on medical X-ray images — applying deep learning to real-world healthcare classification. ✅ Why Work With Me -------------------------- ▸ Top Rated Plus — Upwork's highest trust designation (Top 3%) ▸ 100% Job Success across 116 completed projects ▸ Kaggle Top 4% globally — proven ML skills, not just theory ▸ 10+ years delivering real software products for global clients ▸ I speak outcomes, not just technical specs ▸ Fast communicator — you'll always know where your project stands If you need a predictive model, RAG pipeline, NLP solution, or AI chatbot built properly — let's talk. Message me and I'll tell you within a few hours whether I can help and how.

🔹 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.

I build production-grade 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐌𝐂𝐏 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐯𝐨𝐢𝐜𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 that connect AI with real business data, tools, APIs, CRMs, and operational workflows. My focus is building AI systems that can 𝐫𝐞𝐚𝐬𝐨𝐧, 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧, 𝐮𝐬𝐞 𝐭𝐨𝐨𝐥𝐬, 𝐦𝐚𝐤𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐞 𝐦𝐮𝐥𝐭𝐢-𝐬𝐭𝐞𝐩 𝐭𝐚𝐬𝐤𝐬 with controlled workflows, structured outputs, monitoring, and human oversight where required. With a 𝐏𝐡.𝐃. 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐭𝐮𝐭𝐭𝐠𝐚𝐫𝐭 (𝐆𝐞𝐫𝐦𝐚𝐧𝐲) and a Habilitation from 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 (𝐔𝐒𝐀), I bring a rare combination of real-world production engineering experience and deep academic research expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Build autonomous and multi-agent systems for real business processes: • Stateful agent workflows with conditional routing and memory • Multi-agent orchestration and tool calling • MCP-based integrations with external systems and business tools • Structured outputs, monitoring, logging, and failure handling • Human-in-the-loop controls for critical actions 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, CrewAI, LangChain, AutoGen, OpenAI, Claude, MCP, LangSmith 𝐑𝐀𝐆, 𝐋𝐋𝐌 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Develop enterprise AI systems that work with private and domain-specific knowledge: • Hybrid semantic, keyword, and metadata retrieval • Structure-aware document processing and chunking • Vector and graph-based retrieval • Enterprise knowledge assistants and AI search • Grounded responses and retrieval evaluation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Pinecone, Weaviate, Qdrant, LlamaIndex, OpenAI, Claude, Mistral, graph-based retrieval 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 Connect AI agents to business workflows, CRMs, APIs, communication systems, and operational processes. • End-to-end AI workflow automation • CRM, email, document, and API integrations • n8n, Make, webhooks, and REST APIs • AI voice agents for sales, support, qualification, scheduling, and operations • Real-time voice interaction, tool calling, CRM actions, and post-call automation 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: n8n, Make, Vapi, Twilio, ElevenLabs, Whisper, LiveKit 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Alongside modern LLM systems, I have strong engineering experience in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧, 𝐎𝐂𝐑 𝐚𝐧𝐝 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. • Predictive scoring, classification, forecasting, and domain-specific ML • Computer vision and deep learning systems • OCR and document-processing pipelines • Model fine-tuning and adaptation • AI/ML backends and production APIs 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python, FastAPI, PyTorch, scikit-learn, XGBoost, Hugging Face, OCR frameworks, PostgreSQL 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Build the application and infrastructure required to turn AI capabilities into production products: • AI-powered SaaS platforms and backend systems • React / Next.js interfaces and AI dashboards • REST APIs and scalable backend services • PostgreSQL, Redis, vector databases • AWS, Azure, GCP, Docker, and CI/CD 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 🔹Production-ready AI agent and multi-agent systems 🔹RAG and enterprise knowledge platforms 🔹MCP and LLM integrations 🔹AI voice agents and conversational systems 🔹AI-powered automation workflows 🔹AI/ML, computer vision, and document intelligence solutions 🔹Scalable AI SaaS, APIs, and production backends The goal is to build reliable 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐝𝐚𝐭𝐚, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐫𝐞𝐚𝐥 𝐑𝐎𝐈.