I hold an M.S. in Computer Science from Karazin National University, with a strong foundation in mathematical analysis and linear algebra, which I apply effectively to solve complex challenges in Machine Learning and Computer Vision. With 6 years of extensive commercial experience, I am an AI Engineer with a proven track record of leading development efforts and contributing to all stages of the product lifecycle, aligning technical advancements with business objectives. My expertise covers all major areas of Computer Vision, including image classification, object detection and tracking, image segmentation, and pose estimation. I have delivered impactful, end-to-end solutions in various fields, such as: - Video-driven Sports Game Action Analysis - Satellite Image Processing - AI-powered Smart Parking Systems - Real-time Video Surveillance Systems I specialize in developing custom neural network architectures for Computer Vision applications, leveraging frameworks like TensorFlow, Keras, and PyTorch, as well as tools like OpenCV, MoviePy, and FFmpeg for efficient image and video processing. My programming expertise spans Python and C++, and I have experience building CV-powered web applications using JavaScript. I have successfully contributed to projects in areas such as Sports Analytics, Parking Surveillance Systems, Satellite Image Processing, and Manufacturing & Analytics for the Beauty and Healthcare industries. Proficient in image classification, object detection, action recognition, and more, I leverage advanced neural networks to deliver effective solutions. In addition to my technical skills, I possess a strong foundation in Discrete Mathematics, Statistics, and Differential Equations, with specialized knowledge in digital signal processing, time-series analysis, and unsupervised learning. While working effectively in team environments, I also understand the importance of business logic and strategic goals. I’ve helped businesses and enterprises achieve their goals, drive financial growth, and automate processes to generate significant gains.

⭐𝗘𝗫𝗣𝗘𝗥𝗧-𝗩𝗘𝗧𝗧𝗘𝗗 𝗧𝗢𝗣-𝟭% 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞⭐ 🚀 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗿𝗼𝗺 𝟏𝟐 𝗬𝗲𝗮𝗿𝘀🔥 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 I’m a senior AI/ML Engineer & Generative AI Specialist with over a decade of experience building real-world intelligent systems. I develop AI products that make a measurable impact—whether that’s automating health policy premiums through facial analytics, optimizing logistics via predictive modeling, or powering chatbots with cutting-edge LLMs. # 🚀 AI/ML Engineer | Agentic AI • LLMs • RAG • Voice AI • MLOps • Backend & Cloud Infrastructure I help companies build **production-ready AI systems** that solve real business problems, not just prototypes. With **5+ years of experience** in Artificial Intelligence, Machine Learning, Backend Engineering, and MLOps, I specialize in designing scalable AI applications powered by **Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Voice AI, Computer Vision, and modern cloud infrastructure**. From intelligent chatbots and autonomous AI agents to enterprise knowledge assistants, document processing systems, multimodal AI, and real-time voice assistants, I build AI products that are secure, scalable, and ready for production. Whether you're building a startup MVP or deploying AI across an enterprise, I can help take your idea from architecture to production. --- ## 🧠 AI & Generative AI Expertise ### 🤖 Agentic AI & AI Automation * Multi-Agent Systems * AI Agents & Autonomous Workflows * OpenAI Agents SDK * LangGraph * CrewAI * AutoGen * Semantic Kernel * MCP (Model Context Protocol) * Function Calling & Tool Use * Long-term Memory Systems * Workflow Automation * Human-in-the-loop AI ### 📚 LLM & RAG Systems * GPT-4.1 / GPT-4o / o3 * Claude 4 * Gemini 2.5 * Llama 3.x * Qwen 3 * DeepSeek * Mistral * Fine-tuning & Instruction Tuning * Retrieval-Augmented Generation (RAG) * Hybrid Search * Semantic Search * Vector Search * Prompt Engineering * Structured Output * Context Engineering * Knowledge Graph RAG ### 🎙 Voice AI * Speech-to-Text (Whisper, Faster-Whisper) * Text-to-Speech * Streaming Voice Assistants * Real-time Voice Conversations * Voice Agents * Audio Intelligence * Speaker Recognition * Audio Classification ### 👁 Computer Vision * YOLO * OCR * Vision Transformers * Object Detection * Image Classification * Face Analytics * Medical Imaging * Multimodal AI * Image Segmentation --- ## ⚙️ AI Engineering & Backend Development I build complete AI backends capable of serving millions of requests. ### Backend * Python * FastAPI * Flask * Django * Async APIs * REST APIs * GraphQL * WebSockets * gRPC * Background Workers * Celery * Redis ### AI Frameworks * PyTorch * TensorFlow * Hugging Face * Transformers * LangChain * LlamaIndex * DSPy * Haystack * vLLM * Ollama * NVIDIA NIM ### Databases * PostgreSQL * MySQL * MongoDB * Redis * Neo4j * Elasticsearch * OpenSearch ### Vector Databases * Pinecone * Weaviate * Qdrant * Milvus * ChromaDB * FAISS --- ## ☁️ DevOps, Cloud & Infrastructure I don't stop at model development. I build complete production environments. ### Cloud Platforms * AWS * Google Cloud Platform (GCP) * Microsoft Azure * DigitalOcean * Hetzner * RunPod * Vast.ai ### Containers & Orchestration * Docker * Docker Compose * Kubernetes * Helm * NGINX * Traefik ### CI/CD & Automation * GitHub Actions * GitLab CI/CD * Bitbucket Pipelines * Jenkins ### AI Deployment * GPU Servers * CUDA * NVIDIA Runtime * Model Serving * Auto Scaling * Load Balancing * Monitoring * Logging * Reverse Proxy * SSL Configuration * Linux Server Administration * Ubuntu Server * Systemd Services ### Infrastructure & Storage * MinIO * S3 * Cloud Storage * RabbitMQ * Kafka * Airflow --- ## 🔌 APIs & Integrations I have extensive experience integrating AI with modern business platforms. * OpenAI API * Anthropic API * Google AI * Azure OpenAI * AWS Bedrock * Twilio * WhatsApp Business * Slack * Discord * Stripe * HubSpot * Zoho CRM * Salesforce * Google Workspace * Microsoft 365 * OAuth 2.0 * JWT Authentication --- ## 📈 What I Build * AI Agents * Enterprise AI Assistants * RAG Platforms * Customer Support Bots * Sales AI Assistants * SDR AI Platforms * Voice Assistants * AI Calling Systems * Document AI * OCR Pipelines * Knowledge Bases * Medical AI * Financial AI * Predictive Analytics * Recommendation Systems * Computer Vision Applications * Audio Intelligence Platforms * Workflow Automation * AI Dashboards * Internal Enterprise Copilots --- ## 🎯 Why Clients Hire Me ✅ End-to-end AI product development ✅ Production-ready architectures ✅ Scalable backend systems ✅ Cloud deployment & server configuration ✅ Strong focus on performance, security, and maintainability ✅ Clear communication and business-first thinking I work across the full lifecycle, from solution architecture and model selection to backend development, infrastructure setup, deployment,

AI Engineer with 6+ years of experience. Bringing hands-on experience in implementing Machine Learning and Data Science real-world applications. ✓ Certified AWS ML engineer ✓ Certified AI engineer ✓ Certified Data scientist ✓ Certified Deep learning engineer. I have extensive experience with the following tools and technologies: ✓ Amazon Web Services (AWS): EC2, S3,Lambda Functions, SageMaker ✓ Coding skills in Python (scripting, Jupyter, google Colab) ✓ Python data analytics libraries (Scikit-learn, pandas, NumPy, Matplotlib) ✓ Computer Vision tools and packages (MM Detection, OpenCV) ✓ Natural Language Processing tools and packages (spacy, nltk) ✓ Deep learning libraries and toolboxes (TensorFlow, Keras, PyTorch)

With 5+ years of hands on experience, I design, build, and deploy end to end AI solutions from cutting edge Generative AI and LLM applications to advanced Computer Vision systems and full stack production platforms. I have successfully delivered 50+ AI projects, translating complex technology into measurable business outcomes. GENERATIVE AI & LLMs I build intelligent systems powered by GPT 4o, Claude, Gemini, LLaMA, Mistral, Cohere, IBM Watsonx, and Amazon Bedrock. My expertise covers: • Custom LLM application development: chatbots, AI assistants, code synthesis, content generation • RAG Pipelines: LangChain, LlamaIndex, Langfuse, ChromaDB, FAISS, Milvus, Weaviate, Pinecone • Agentic AI & Multi Agent Systems: AutoGen, CrewAI, LangGraph for autonomous task orchestration • Prompt Engineering & Fine Tuning: optimized prompts for structured output, task completion, and domain-specific performance • AI Automation & Workflow Integration: n8n, Make (Integromat), Zapier, UiPath for end to end business automation MACHINE LEARNING & DEEP LEARNING I architect and deliver full ML lifecycle solutions with a focus on performance and scalability: • Neural Networks: CNNs, RNNs, LSTMs, and Transformers (BERT, GPT, T5) • Frameworks: TensorFlow, PyTorch, Keras, JAX, Scikit learn, XGBoost, LightGBM • Model Optimization: transfer learning, data augmentation, hyperparameter tuning (Optuna, Katib) • MLOps & Deployment: Docker, Kubernetes, Jenkins, GitLab CI/CD, MLflow, Weights & Biases, DVC, Prometheus, Grafana COMPUTER VISION I deliver high performance, realtime vision systems for demanding applications: • Object detection & tracking: YOLOv8, OpenCV, MediaPipe • Facial recognition & analysis: DeepFace, Dlib, MTCNN • Action recognition: 3D CNNs, LSTMs • Advanced preprocessing: Albumentations, imgaug PREDICTIVE ANALYTICS & DATA VISUALIZATION • Time Series Forecasting: ARIMA, Prophet, LSTM models for demand and sales prediction • Dashboards: Power BI, Tableau, Plotly Dash interactive KPI and trend surfaces • Statistical Analysis: A/B testing, regression modeling, hypothesis testing FULL STACK AI DEVELOPMENT I build complete, production ready platforms with AI at their core: • Backend: FastAPI, Flask, Django, Node.js, Express.js secure RESTful APIs and AI inference endpoints • Frontend: React.js, Next.js, Vue.js, Tailwind CSS, responsive dashboards, chat UIs, and AI tools • Databases: PostgreSQL, MongoDB, Firebase, Redis • Cloud & DevOps: AWS, GCP, Azure, Docker, GitHub Actions, Kubernetes, serverless: 99.9%+ uptime KEY TECHNOLOGIES AT A GLANCE Python · FastAPI · Flask · Django · Node.js · TypeScript PyTorch · TensorFlow · Keras · JAX · XGBoost · LightGBM OpenAI API · Anthropic Claude · Google Gemini · Meta LLaMA · Mistral · Amazon Bedrock · IBM Watsonx LangChain · LlamaIndex · LangGraph · CrewAI · AutoGen · Langfuse ChromaDB · FAISS · Milvus · Weaviate · Pinecone · Elasticsearch OpenCV · YOLOv8 · MediaPipe · DeepFace · Dlib · Albumentations n8n · Make · Zapier · UiPath · Automation Anywhere AWS · GCP · Azure · Docker · Kubernetes · GitHub Actions · GitLab CI/CD Whether you need an LLM powered product, an agentic AI workflow, a real time computer vision system, or a scalable full-stack AI platform. I deliver high impact, production ready solutions end to end. Let's connect and build something remarkable.

Experienced business consultant with over a decade of helping small companies grow. I have 5 yrs + working with teams on data analysis/ML problems. Excellent analytical background paired with a deep business understanding to create solutions to problems instead of just using the latest tools for the sake of using them.

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!

I build AI-powered automation systems using n8n, Make, Vapi, Retell, and modern LLM workflows to help businesses automate operations, communication, and customer experiences. My work focuses on creating scalable low-code/no-code automation ecosystems that combine AI agents, APIs, voice systems, and workflow orchestration into reliable production-ready solutions. What I specialize in: ✔ AI Automation Systems ✔ n8n & Make Workflows ✔ Vapi & Retell Voice AI Agents ✔ Agentic AI Workflows ✔ LLM Integrations & Prompt Engineering ✔ No-Code / Low-Code Automation ✔ API & Webhook Integrations ✔ CRM & Operations Automation ✔ AI-Powered Lead Qualification ✔ Multi-Step Workflow Orchestration AI & Automation Stack: - OpenAI / GPT - Claude - Gemini - Vapi - Retell AI - n8n - Make - Bubble - Airtable - Notion - Webhooks & APIs Types of systems I build: - AI voice receptionists & call agents - Content automation pipelines - CRM and lead routing automations - AI chat and support systems - Internal operations workflows - Multi-platform integrations - Data processing and reporting automations Whether it’s automating repetitive processes, integrating AI into customer workflows, or building intelligent agent systems, I aim to create solutions that save time, reduce manual effort, and improve operational efficiency.

AI / ML / Agentic AI LLM / Langchain / RAG ChatBots AI / Machine Learning & Computer Vision specialist with hands-on experience building, training, and deploying deep learning models for real-world applications. I specialize in YOLO-based object detection/segmentation and image processing, with a strong background in PyTorch, TensorFlow, and OpenCV, Plus modern RAG and agentic AI LLM systems using LangChain and LangGraph. Key Expertise YOLO Object Detection & Segmentation: Custom training/tuning (YOLO v8–v12), dataset prep, evaluation, and edge AI deployment on Jetson Nano. RAG & Agentic AI: Retrieval-augmented generation with LangChain/LangGraph, vector stores (Pinecone, ChromaDB), tool use, memory, and guardrails. Recommendation AI Engine Systems. Model Deployment & Optimization: Packaging for production (REST), quantization/acceleration where applicable; VM-based deployments. Full Pipeline Development: Data collection → labeling → training → testing → Flask/FastAPI REST APIs → monitoring. MLOps & CI/CD: Experiment tracking, versioning, reproducible workflows, and automated delivery with GitHub/GitLab. API Integration & Apps: Secure API integration with third-party services; Flutter front-ends that consume ML APIs. Cloud & Storage: AWS S3 for datasets/artifacts; deployable on cloud VMs or on-prem. Frameworks & Tools PyTorch, TensorFlow/TFLite, OpenCV, scikit-learn, Pandas, NumPy LangChain, LangGraph, RAG, LLM, Pinecone, ChromaDB Flask, FastAPI (REST API deployment) Databases SQL, MySQL, PostgreSQL, Supabase GitHub, GitLab (MLOps/CI-CD) Google Colab / Jupyter Notebook AWS S3, VM-based deployments React & Flutter (client apps & dashboards)

Are you looking to develop an ML or DL model for a predictive, classification, optimization, and/or generative task? Are you striving for the most effective ML/DL solution? Do you seek to develop a decision-making model tailored to your unique requirements? I am confident that my skills can significantly contribute to bringing your project to its optimal version. I hold a Ph.D. in Artificial Intelligence, with strong expertise in machine learning and deep learning across a variety of applied research projects. My experience includes developing AI models for many tasks like Natural Language Processing (NLP), sentiment analysis, predictive maintenance, trajectory planning, and production scheduling, utilizing many algorithms such as SVM, KNN, LSTM, CNN, GANs, AE, VAE, deep reinforcement learning (DQN and PPO), graph neural networks (GAT, GIN, GRUConv, and R-GCN), and hybrid algorithms. In addition to technical development, I can also assist with scientific writing, proofreading, and improving the clarity and structure of technical or academic documents, including research papers, reports, theses, and project documentation. Driven by a passion for staying abreast of AI trends, I am committed to continually expanding my skill set to deliver optimal results.

I am junior data scientist and computer vision expert having 3 years of research experience during the research work of MS. Have good expertise in Python environment and data science domain. Have good understanding of Various AI techniques like Image classification, Image segmentation, prediction and clustering of data. Have good skill set in Data science libraries like Scikit-learn and Keras. Have good experience in computer vision and performed various computer vision tasks like features extraction as well as features matching using OpenCV.