🌟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🌟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 + 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬 🌟 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 🌟 𝐓𝐨𝐩 𝟐% 𝐇𝐢𝐠𝐡𝐥𝐲 𝐂𝐢𝐭𝐞𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 (𝟐𝟎𝟐𝟒 & 𝟐𝟎𝟐𝟓) I’m a PhD in 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 with 10+ years in trustworthy AI and advanced ML, helping teams build production-ready Generative AI systems that are reliable, secure, and measurable, especially in healthcare, cybersecurity, and other high-stakes settings. 📌𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐈𝐦𝐩𝐚𝐜𝐭 & 𝐀𝐰𝐚𝐫𝐝𝐬: ✔45+ peer-reviewed publications ✔7,500+ citations on Google Scholar ✔Top 2% Highly Cited Researcher (2024 & 2025) ✔Best Paper Award, IEEE Engineering in Medicine & Biology Society ✔Publications in leading venues, including 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐈𝐄𝐄𝐄 𝐓-𝐏𝐀𝐌𝐈, 𝐈𝐒𝐁𝐈, 𝐈𝐄𝐄𝐄 𝐂𝐎𝐌𝐒𝐓, Computers & Security, and more. 📌𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: ✔ End-to-end RAG systems: hybrid search, structured retrieval, reranking, evaluation pipelines ✔ Agentic / multi-agent systems: orchestration, tool use, coordination, workflow automation ✔ LLM security + robustness: prompt injection, data leakage, model inversion risks, red-teaming + regression checks ✔ Foundation & multimodal model adaptation for domain use cases 𝐈𝐟 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐚 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐭𝐡𝐚𝐭 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐞𝐬, 𝐛𝐫𝐞𝐚𝐤𝐬 𝐨𝐧 𝐞𝐝𝐠𝐞 𝐜𝐚𝐬𝐞𝐬, 𝐨𝐫 𝐜𝐚𝐧’𝐭 𝐬𝐜𝐚𝐥𝐞 𝐬𝐚𝐟𝐞𝐥𝐲, 𝐈 𝐜𝐚𝐧 𝐚𝐮𝐝𝐢𝐭 𝐢𝐭, 𝐟𝐢𝐱 𝐢𝐭𝐬 𝐰𝐞𝐚𝐤 𝐩𝐨𝐢𝐧𝐭𝐬, 𝐚𝐧𝐝 𝐩𝐮𝐭 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐠𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬 𝐢𝐧 𝐩𝐥𝐚𝐜𝐞 𝐬𝐨 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐜𝐚𝐧 𝐭𝐫𝐮𝐬𝐭 𝐢𝐭𝐬 𝐨𝐮𝐭𝐩𝐮𝐭𝐬. 𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: #GenerativeAI #LLM #LargeLanguageModels #RAG #RetrievalAugmentedGeneration #HybridSearch #Embeddings #VectorSearch #AgenticAI #AIAgents #MultiAgentSystems #FoundationModels #MultimodalAI #LLMSecurity #PromptInjection #DataLeakage #ModelInversion #RedTeaming #EvaluationPipelines #AIArchitecture

I build production AI backends and AI Agent systems. I’ve deployed custom AI Agents pipelines on serverless/GPU infra that cut costs by up to $100K+/month and deliver sub-200ms streaming with full observability. Full overview: I help SaaS teams ship AI features fast—RAG on private GPUs, function-calling agents, payments/webhooks, and monitoring. FastAPI services with Celery/Redis, PostgreSQL RAG on LLamaCPP/LlamaIndex behind secure tunnels Cost/latency optimization (batching, caching, streaming) Serverless LLM & diffusion deployments CI/CD, Docker, AWS/GCP, metrics with Prometheus/Grafana Recent highlights: Serverless diffusion + LLM pipelines → $500–$5,000/mo infra savings Voice/phone agents (STT→LLM→TTS) with function-calls for booking Private RAG APIs on client GPUs with access control & dashboards How I work: You share goal + deadline → I return a day-by-day plan, success metrics, and a fixed price. I prioritize reliability, speed, and clean handoffs. Core stack & keywords: FastAPI, Python, Golang, Celery, Redis, PostgreSQL, Prometheus, Grafana, RAG, LlamaCPP, LlamaIndex, OpenAI API, GGUF, Qdrant/Chroma, Cloudflare Tunnels, Docker, AWS/GCP, Playwright, Stripe/Twilio/Plivo, TTS/STT, agentic workflows.

Want to deploy production-ready AI models, automate complex visual/text workflows, or build rigorous data pipelines? I bridge the gap between advanced research and scalable engineering. As an ML Engineer and Data Scientist with a Master’s degree, I specialize in building deterministic, high-performance AI systems. From fine-tuning LLMs and training computer vision models to engineering leakage-aware research datasets, I deliver clean, reproducible, and production-grade code. Whether you are a startup needing a custom RAG pipeline or an enterprise optimizing massive datasets, I ensure your models perform with mathematical precision. 🚀 CORE CAPABILITIES • AI Systems, LLMs & Automation Building robust RAG pipelines, structured data extraction systems, and automated workflows using Gemini, OpenAI, and Claude APIs. Expert in prompting strategies that yield deterministic, enterprise-grade outputs. • Natural Language Processing (NLP) & Dataset Engineering Experienced with Hugging Face Transformers for text classification, summarization, and multi-label categorization. Specialized in building leak-aware, balanced training/validation pipelines (e.g., CVEfixes vulnerability dataset parsing). • Computer Vision & Synthetic Data Generation Hands-on experience with object detection, image segmentation (U-Net variants), and custom preprocessing. I design synthetic image/video generation pipelines using state-of-the-art tools (Runway, Vidu, Veo, Stable Diffusion) for specialized model training and simulation datasets. • Machine Learning & Deep Learning (PyTorch & TensorFlow) End-to-end model development, validation, and optimization using PyTorch, TensorFlow, and Scikit-Learn. Expert at resolving class imbalances, handling massive datasets, and model benchmarking. • Statistical Modeling & Time Series Deep mathematical background in optimization, logistic/linear regression, hypothesis testing, and time-series forecasting. Experienced with complex real-world data analysis (e.g., NHANES health prediction models). • Data Quality & Engineering Advanced data cleaning and curation using Python, R, CleanLab, and Argilla to isolate and eliminate noise, outliers, and duplicates before they hit your training loop. 🛠️ TECHNICAL TOOLKIT • Languages: Python, R, Bash, SQL • AI/ML Frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face • Data Tools: CleanLab, Argilla, Pandas, NumPy, Excel (Pivot Tables) • Visualization: R (ggplot2), Python (Matplotlib, Seaborn) • Generative Media: Veo, Runway, Vidu, Stable Diffusion API Let’s turn your data into a competitive advantage. Click the "Invite to Job" button to discuss your project requirements!

𝐄𝐱𝐩𝐞𝐫𝐭 𝐯𝐞𝐭𝐭𝐞𝐝 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬, 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 🎓 Master's in Computer Science 🏆 Top Rated Plus Freelancer ⭐ 12,500+ Hours Worked ✅ AI Products and Apps • AI Agents • RAG • Computer Vision • Automation Some businesses reach me because their AI projects failed. And in every case I have noticed: 𝐭𝐡𝐞 𝐬𝐮𝐫𝐫𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦 𝐰𝐚𝐬𝐧'𝐭 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐩𝐫𝐨𝐩𝐞𝐫𝐥𝐲. And worst of all, in some cases an AI agent wasn't connected to the right workflows, data, validation layers, and business rules. And user experience too were rarely creating meaningful business value. 𝐀𝐍𝐃 𝐓𝐇𝐀𝐓'𝐒 𝐖𝐇𝐄𝐑𝐄 𝐈 𝐇𝐄𝐋𝐏: I (and sometimes my team) work with founders, startups, and growing businesses to design and build AI systems that operate inside real-world environments. Systems we built help teams automate workflows, retrieve knowledge, support decisions, qualify leads, process data, and scale operations. 𝐋𝐄𝐓'𝐒 𝐋𝐎𝐎𝐊 𝐀𝐓 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊: ✔ Enterprise AI Retrieval Platform combining RAG, NL2SQL, schema linking, validation layers, and intelligent query generation ✔ AI-Powered Career Intelligence Platform used to generate personalized resumes, career recommendations, and job application content ✔ Compliance-Aware AI Email Agent for automated outreach, qualification, and response management ✔ AI Voice Agent systems for lead engagement, qualification, and workflow automation ✔ Computer Vision solutions using YOLO, GPT Vision, and custom AI pipelines ✔ AI-powered automation ecosystems integrating OpenAI, Claude, CRMs, Slack, databases, APIs, and business workflows ✔ AI-powered mobile and web applications used by real customers 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐓𝐘𝐏𝐈𝐂𝐀𝐋𝐋𝐘 𝐂𝐎𝐌𝐄 𝐓𝐎 𝐌𝐄 𝐖𝐇𝐄𝐍: • They want to build an AI product from scratch • They have an AI prototype that now needs production architecture • They want AI integrated into an existing application • They need RAG, AI agents, automation, or knowledge systems connected to business workflows • They want technical guidance before making significant development investments 𝐌𝐘 𝐀𝐑𝐄𝐀𝐒 𝐎𝐅 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄: • AI Agent Development • Workflow Automation using n8n, Make, and Zapier • Retrieval-Augmented Generation (RAG) • OpenAI & Claude Integrations • Voice AI Systems • Computer Vision • AI-Powered SaaS Products • Mobile & Web Applications • Product Architecture & System Design • API Integrations • Multi-Agent Systems • Cloud Infrastructure What clients often appreciate most is that I start with the business objective than technology. Then I work backwards to determine whether the right solution is an AI agent, RAG platform, workflow automation, computer vision system, AI-powered application, or a combination of multiple systems working together. So, if you're exploring an AI product, internal copilot, AI agent, automation platform, RAG solution, computer vision application, or AI-powered SaaS product, feel free to reach out. I'm happy to discuss the idea, challenge assumptions where needed, and help identify the most practical path to building it successfully. Technologies and solutions I frequently work with: AI Agents • AI Integration • OpenAI • Claude • GPT • RAG • Workflow Automation • Make • n8n • Zapier • LangChain • Computer Vision • AI SaaS Development • AI Product Development • Voice AI • Multi-Agent Systems • API Integrations • Mobile Apps (iOS & Android) • Web Applications • Cybersecurity

I help businesses automate workflows, build AI-powered systems, and develop intelligent applications that save time, reduce costs, and scale operations. With 3+ years of experience, I specialize in building production-ready AI solutions using modern technologies like LLMs, GPT APIs, and scalable full-stack architectures. What I can build for you: • AI Automation Systems & Intelligent Workflows • ChatGPT / GPT-based Chatbots & AI Agents • RAG Systems (Retrieval-Augmented Generation) • Custom Machine Learning & Deep Learning Models • Computer Vision Solutions (Detection, Recognition, OCR) • Full-Stack Applications (React, Node.js) • API Development & Third-Party Integrations AI & Tech Stack: Python, Machine Learning, Deep Learning, NLP, Computer Vision OpenAI API, LLMs, Prompt Engineering, LangChain, Vector Databases TensorFlow, OpenCV React, Node.js, TypeScript, JavaScript REST APIs, SQL/NoSQL, Cloud, Git Why work with me? • Clean, scalable, production-ready code • Strong problem-solving & business-focused solutions • Fast communication & reliable delivery If you're looking to build AI-driven products, automate processes, or integrate advanced AI into your system, let’s talk. 📩 Available for both short-term and long-term projects.

28+ production AI systems built for real businesses. 100% Job Success Score. If your business is losing leads to slow follow-ups, missed calls, or disconnected tools I build the AI automation systems that fix it. Not demos. Not tutorials. Production systems running in real business environments right now. I specialize in n8n workflow automation, AI voice agents, RAG chatbots, WhatsApp automation, and GoHighLevel CRM systems. My systems handle lead qualification, appointment booking, follow-up sequences, and internal operations end to end, without constant supervision. What I've built and deployed in production: → AI voice receptionist that answers calls 24/7, qualifies leads, and books appointments directly into GHL calendar → AI WhatsApp lead automation system for real estate brokers — conversations that convert while you sleep → RAG-based knowledge chatbot for a Netherlands recruitment company using Pinecone + OpenAI → AI insurance quote comparison tool extracts PDF data, compares plans via GPT-4, emails a report → Employee scheduling automation with GHL + Twilio SMS reminders → AI job search assistant with resume parsing and cover letter generation → Client onboarding automation GHL → ClickUp via n8n What I build for you: → End-to-End n8n Workflow Automation Lead capture → AI qualification → CRM update → follow-up → reporting. One connected system. → AI Voice Agents & Receptionists 24/7 voice AI built on Retell AI that answers calls, qualifies leads, and books appointments. Human-sounding. Always available. → AI WhatsApp Automation Automated lead conversations, follow-ups, and appointment booking via WhatsApp Business API. → RAG Chatbots & AI Knowledge Assistants Train AI on your business documents, website, or SOPs. Deploy as a chatbot that actually knows your business. → GoHighLevel CRM Automation Full GHL setup with pipelines, automations, AI-triggered follow-ups, and reporting dashboards. Results my systems deliver: ✓ 20–40+ hours saved per week ✓ Zero missed leads after hours ✓ Faster response time and higher conversion ✓ Systems that run without constant supervision Tech stack: n8n · OpenAI GPT-4o · Retell AI · GoHighLevel · Pinecone · Supabase · FastAPI · Python · Twilio · Claude · Gemini Send me a message and I'll share a Loom video showing exactly how I'd approach your workflow. n8n automation, n8n expert, n8n workflow, AI automation, AI agent development, AI voice agent, Retell AI, GoHighLevel automation, GHL CRM, GHL expert, RAG chatbot, AI chatbot, WhatsApp automation, WhatsApp Business API, lead qualification automation, appointment booking automation, workflow automation, business process automation, OpenAI API, GPT-4 automation, Pinecone, vector database, CRM automation, Twilio automation, AI receptionist, voice AI, lead generation automation, no-code automation, low-code automation, API integration, Python automation, FastAPI, Supabase, AI knowledge assistant

AI agents in n8n and Make. Production-grade AI automation, not weekend projects I build AI automation in n8n and Make: AI agent development, API integration, system automation, automated workflow, CRM automation, marketing automation, and artificial intelligence solutions that survive duplicates, API failures, and high event volume without breaking quietly in the background. Over the past 3+ years I've built these systems for startups, SaaS companies, agencies, founders, and service businesses. 🏅 100% Job Success Score, Top Rated on Upwork 🏅 3+ years building production AI automation in n8n, Make, and Zapier 🏅 Systems running 6+ weeks in production with zero silent failures 🏅 Real client deployments across HubSpot, OpenAI API, Slack, and Google Workspace 🛠 Recent AI automation systems: - AI Lead Routing in n8n + HubSpot + Slack: CRM automation with handoff in 60 seconds instead of 60 minutes. Industry data: companies responding within an hour are 7x more likely to qualify the lead. Lead intake ➜ field normalization ➜ AI classification (urgency, intent, priority) ➜ routing rules ➜ Slack alerts ➜ HubSpot sync without duplicates. Clean ownership, fast handoff, no manual triage. - AI Automation System for Social Media Posting (Make + OpenAI): marketing automation pipeline built on system automation in Make. Video intake ➜ automated workflow for classification and transcription ➜ OpenAI API and ChatGPT caption generation with platform-specific hashtags ➜ scheduled posting through API integration across Instagram, Facebook, TikTok, Threads, YouTube, and other major platforms. Zero manual work, full consistency. Client: "Artur is a machine! He delivered everything in a blink of an eye." - n8n AI Gmail Agent - Auto-Classification + Slack Alerts: AI agent with idempotent locks ➜ noise reduction ➜ OpenAI API and ChatGPT classification ➜ human-readable Slack summaries. Automated workflow for inbox: from 3 hours of daily work to under 30 minutes. Zero missed emails over 6 weeks of production. 🧰 Beyond these systems: marketing automation campaigns, AI chatbot and customer support automation with conversation context, RAG and vector database agents (Supabase), Claude API and OpenAI API with tool use and function calling, Airtable scripting and Google Sheets integrations, data scraping and enrichment pipelines, email agents that categorize, prioritize, and draft responses, automated follow-up sequences that sync records across tools, custom AI agent development, business process automation, and Zapier to n8n migrations. Same standards apply. No AI automation on top of broken data. 🚫 I won't build AI automation on top of a broken process. If your form leaks junk data or your CRM has duplicate records, no AI agent or artificial intelligence solution will save you. We fix the source first, then build the agent on top. ✅ Three things in every production AI development build, not optional: error handling that notifies a human ➜ idempotency so duplicates don't break the flow ➜ observability so you see what the AI agent is doing at any moment. 📩 Send a brief, Loom, or screen recording. Within 24 hours you get a written diagnosis and rough scope for your AI automation. No call required, no pitch.

Enterprise systems demand data accuracy, architectural scalability, and strict risk mitigation. I design and deliver production-ready Document AI and Computer Vision systems that transform high-volume, unstructured data into validated corporate assets. As an AI Architect, I bridge the operational gap between heavy-duty edge detection frameworks and downstream multimodal reasoning models. My focus is on building complete, maintainable software systems designed for low latency, tight data privacy controls, and high business ROI. 🔹 Architectural Core Expertise: • Intelligent Document Processing (IDP): Engineering layout-aware parsing and data extraction pipelines for complex corporate assets (financial portfolios, regulatory compliance documents, and multi-page invoices). I implement deterministic Python validation layers to completely eliminate LLM hallucinations and enforce strict adherence to enterprise ERP rules. • High-Throughput OCR Infrastructure: Constructing distributed, GPU-accelerated pipelines using PaddleOCR, Tesseract, and custom OpenCV preprocessing arrays to reliably ingest and clean degraded, low-resolution, or non-standard visual data. • Agentic Workflows & Multimodal RAG: Integrating advanced vision-language models (GPT-4o, Claude 3.5) with orchestration layers like LangChain to build autonomous document agents capable of context-aware clause extraction, structural semantic linking, and deep document intelligence. • Real-Time Edge Vision & Analytics: Deploying next-generation YOLO architectures for high-throughput operational streams, including automated industrial defect detection and high-speed license plate recognition (ALPR). Optimized to eliminate NMS latency overhead, enabling real-time performance on low-power infrastructure without expensive GPU dependencies. • MLOps & Enterprise Integration: Developing containerized, production-grade microservices utilizing Python, PyTorch, FastAPI, and Docker seamlessly integrated into enterprise environments via n8n/Zapier automation and cloud infrastructure (AWS SageMaker / GCP Vertex AI). 🔹 Business Process Automation Through Document AI The systems I build do more than extract data; they automate document-heavy business operations end-to-end. By combining OCR, Document AI, Computer Vision, deterministic validation engines, and enterprise integrations, I help organizations eliminate manual processing, reduce operational risk, improve compliance, and transform unstructured documents into actionable business workflows. Whether processing invoices, contracts, compliance records, financial documents, or operational reports, my focus is on delivering measurable efficiency gains, higher data accuracy, and scalable automation outcomes. 🔹 Proven Industry Impact: I engineer robust, compliant AI solutions across highly regulated and operationally demanding sectors, including Finance (KYC, invoice automation, audit workflows), Legal (contract intelligence and clause analysis), Manufacturing (quality control and visual inspection), Healthcare, Compliance, and Enterprise SaaS. 🔹 The Architecture Advantage: Enterprise clients retain my services because I do not deploy isolated scripts or proof-of-concept demos. I architect sustainable, end-to-end software solutions that combine Document AI, Computer Vision, workflow automation, and enterprise integrations into production-ready systems. Backed by extensive experience leading complex technology initiatives, I maintain transparent communication with technical and executive stakeholders and remain engaged until the solution meets performance, accuracy, and operational objectives in live production environments. 👉 Strategic Planning: If you have sample datasets, technical specification documents, or complex edge stream requirements, select "Book Consultation" to schedule a 1-hour Architecture Review. We will align on the optimal model selection, latency requirements, and system design before project kick-off.

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)

𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗚𝗲𝗻𝗔𝗜, 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗟𝗟𝗠, 𝗥𝗔𝗚 | 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 | 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗚𝗖𝗣 I am a Principal AI/ML Engineer with 18+ years of experience building production-grade artificial intelligence systems for healthcare, FinTech, and regulated enterprise environments. I specialize in designing secure, scalable, and compliant AI systems that move beyond prototypes into production platforms delivering measurable business value. My work covers end-to-end AI architecture, from data pipelines and model development to cloud deployment and enterprise integration. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 𝗚𝗲𝗻𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 A. GPT-4/5, Claude, LLaMA-based applications B. RAG architectures with vector databases C. Fine-tuning, prompt engineering, and multi-agent systems (LangChain, LlamaIndex, AutoGen) 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 & 𝗠𝗟𝗢𝗽𝘀 A. End-to-end ML pipelines from training to deployment B. CI/CD for ML systems, monitoring, and lifecycle management C. Scalable inference systems on cloud infrastructure 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗔𝗜 A. Clinical workflow automation and medical document systems B. Fraud detection, risk modeling, and financial intelligence C. Compliance-driven AI systems for regulated environments 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 & 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 A. Enterprise AI system design and roadmaps B. Proof-of-concepts and production scaling C. Technical leadership and architecture consulting 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 Python, PyTorch, TensorFlow, Scikit-learn, FastAPI GPT-4/5, Claude, LLaMA, RAG, embeddings, vector databases PostgreSQL, MongoDB, Redis, Elasticsearch, Neo4j AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines 𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 A. Built AI system processing 100K+ clinical trials for pharma enterprise B. Developed GenAI systems generating compliant medical documentation at scale C. Led 60+ engineers delivering enterprise healthcare AI products D. Generated $1M+ revenue through AI-driven solutions E. Contributed to $3.5M+ funding through AI product innovation F. Achieved 94% accuracy in crisis detection systems G. Delivered 73% engagement improvement in AI-driven platforms H. Scaled systems achieving 10X growth and $100K+ monthly revenue 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 A. I design full AI ecosystems, not just models B. Security-first, compliance-driven engineering approach C. Strong focus on business ROI and production readiness D. Experience leading engineering teams and enterprise stakeholders E. Deep domain expertise in healthcare, FinTech, and regulated AI systemsServices 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 A. LLM fine-tuning and RAG systems B. Multi-agent AI system development C. Healthcare and FinTech AI solutions D. End-to-end ML pipelines and deployment E. AI architecture, consulting, and optimization F. Technical audits and team mentoring If you need a senior AI/ML expert to design and deliver secure, scalable, and production-ready AI systems, I can help you build solutions that are reliable, compliant, and aligned with real business outcomes.