Hi, I’m 𝗠𝗲𝗲𝗾𝗮𝘁 a Machine Learning Engineer with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 and a 𝗠𝗮𝘀𝘁𝗲𝗿'𝘀 𝗱𝗲𝗴𝗿𝗲𝗲 𝗶𝗻 𝗔𝗜 𝗳𝗿𝗼𝗺 𝗕𝗿𝘂𝗻𝗲𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗟𝗼𝗻𝗱𝗼𝗻. I built advanced AI/ML systems that drive results. I’ve successfully built solutions for 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀, 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀, and the 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗼𝗳 𝗣𝘂𝗻𝗷𝗮𝗯, 𝗣𝗮𝗸𝗶𝘀𝘁𝗮𝗻, ensuring security, scalability, and measurable impact. -- 𝗖𝗼𝗿𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Fine-tuning GPT-4, BERT, LLaMA, LangChain, Hugging Face, and RAG pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Chatbots, summarizers, text-to-speech (WaveRNN, Tacotron), and content generators 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗖𝗩: CNNs, RNNs, YOLO, OpenCV for image analysis, detection & recognition 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗔𝗽𝗽𝘀: React, Django, React Native with backend ML integrations 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Forecasting, segmentation, risk models using Python, R, and SQL 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: AWS, GCP, Azure, Docker, Git, CI/CD pipelines -- 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: LLaMA-based chatbot with domain-specific tuning Medical image diagnosis using CNN + BERT hybrid Real-time fraud detection & intelligent automation workflows Text generation & summarization using optimized inference pipelines Let’s work together to turn your data into intelligent, scalable systems. --𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | Open to contract-to-hire | 𝗚𝗶𝘁𝗛𝘂𝗯: 𝗠𝗲𝗲𝗾𝗮𝘁𝗦𝘂𝗵𝗮𝗿𝘄𝗮𝗿𝗱𝘆

I help companies design, build, and deploy production-grade AI/ML systems — from Generative AI applications and RAG pipelines to MLOps platforms and GPU-based infrastructure. With 11+ years in software development and 5+ years in AI/ML, I work across the full lifecycle: solution design, model development, distributed training, deployment, and optimization. My experience includes OpenAI-based applications, LangChain/LangGraph workflows, agentic AI, vector databases, AWS/GCP/Azure cloud platforms, MLOps pipelines, and large-scale GPU environments. I can help you with: Generative AI applications using OpenAI, LangChain, LangGraph, and agents RAG pipelines with embeddings, vector databases, semantic search, and evaluation MLOps and ML pipelines for training, deployment, monitoring, and scaling GPU infrastructure, NCCL validation, distributed training, and performance optimization Python-based AI backends with FastAPI, AWS, GCP, Vertex AI, SageMaker, and Docker/Kubernetes Why clients hire me: Strong mix of hands-on engineering and architecture Ability to work from prototype to production Experience with both AI application development and underlying infrastructure Clear communication and fast execution If you need a freelancer who can build reliable AI systems — not just demos — I’d be glad to help. Better shorter version If you want a more compact version: I help businesses build production-grade AI/ML systems, including Generative AI apps, RAG pipelines, MLOps workflows, and GPU-based infrastructure. I have 11+ years of software development experience and 5+ years in AI/ML, with hands-on expertise in OpenAI, LangChain, LangGraph, Python, AWS, GCP, Vertex AI, SageMaker, Docker, Kubernetes, and distributed GPU systems. My work includes: GenAI apps and AI agents RAG and semantic search systems MLOps pipelines and model deployment GPU cluster setup, NCCL testing, and PyTorch distributed training Cloud-native AI systems on AWS, GCP, and Azure I focus on building scalable, production-ready solutions that solve real business problems.

I help startups, agencies, and data teams build practical AI and machine learning solutions that solve real business problems — not just demos. I specialize in LLM apps, RAG systems, AI chatbots, NLP pipelines, computer vision models, forecasting systems, and geospatial analytics. I can help you turn documents, spreadsheets, images, maps, and business data into intelligent tools, dashboards, and automation workflows. Why clients work with me: * Top Rated Upwork freelancer * 100% Job Success Score * 5.0 client rating * 650+ Upwork hours * Experience across AI, ML, NLP, LLMs, computer vision, forecasting, FMCG analytics, and geospatial data Services I can help with: * RAG chatbot development using PDFs, CSVs, Excel files, and databases * LLM apps using OpenAI, Claude, Gemini, LangChain, LlamaIndex, and vector databases * NLP tasks such as classification, extraction, summarization, and semantic search * Computer vision model development and image analysis * Sales forecasting, demand planning, and FMCG analytics * Geospatial clustering, routing, territory planning, and map-based analytics * Python dashboards, data pipelines, and automation tools My focus is simple: understand your business problem, build a reliable solution, and communicate clearly throughout the project. Send me a message with your data, idea, or workflow, and I’ll suggest the best technical approach.

⭐ Fractional CTO, AI Engineer & Technical Advisor helping SaaS startups build, ship and grow AI-powered products from MVP to enterprise. 🚀 Harvard-certified AI Developer & Python Developer | 10+ years Full Stack Development | Senior React, Python & Node.js Software Engineer 🏆 $1M+ saved via AI workflows | 40+ projects: FinTech, Healthcare, EdTech, LegalTech & SaaS 🎯 WHO I AM & HOW I HELP I'm a Fractional CTO & AI Solution Architect helping SaaS founders and non-technical CEOs turn vision into production-ready software. My work spans AI architecture, machine learning consultant work, Gen AI development & AI consulting projects - without a full-time CTO cost As a Fractional CTO, I solve problems like: → We need a SaaS product but have no technical co-founder → We want to integrate LLMs, RAG, or AI automation but don't know where to start → Our architecture won't scale and dev is too slow → We need to modernize our stack and migrate to AWS or Azure → We need AI agent automation (n8n, custom pipelines), but no one can build it in-house 🏅 MY EXPERTISE Case 1 - Fractional CTO & AI Developer for LegalTech SaaS Built a multi-tenant platform as SAAS AI developer: NestJS, Next.js, React, TypeScript, PostgreSQL, Azure, Terraform. AI Augmentation Layer: document extraction (Azure Document Intelligence), RAG research, AI-assisted drafting; Solution Architect, project manager. Case 2 - Fractional CTO & AI Engineer for a Healthcare Monitoring AI Platform Compliant SaaS developer: Python, FastAPI, PostgreSQL, WebSocket alerts, React. HIPAA/GDPR, Docker CI/CD. ML pipelines, computer vision models; data scientist, data analyst, AI Consultant, Virtual CTO Case 3 - Full Stack AI Developer for an EdTech LMS LMS build: React, TypeScript, Supabase, AWS (Cognito, Lambda). NLP personalization, GPT-3-powered recommendations, Moodle chatbot plugin. Case 4 - AI Engineer / AI Developer for a FinTech AI Startup Engineering: NestJS, Java, Azure SQL, Service Bus, blockchain-based payments, React frontend, AI content personalization, gamification; Solution Architect, AI engineer, Project Management Case 5 - AI Architect & AI Engineer: RAG, NLP & Speech Systems RAG platforms (Pinecone, OpenAI), speech intelligence (Deepgram, LangChain, FAISS), CRM automation (Anthropic/Claude). AI Agent Development and AI agent n8n automation, working as AI agent builder & AI agent creator. Agentic AI patterns, AI Model Integration, AI automation Case 6 - Full Stack AI Engineer & AI Developer for CRM & Auth Platform Microservices: gRPC, MongoDB, Neo4j. Multi-tenant auth (Azure AD); full stack developer, Cloud Architect advisor, AI Software Architect, AI Developer, data analysis pipelines. ⚡ WHERE I CAN BE HELPFUL ✅ Fractional CTO - strategy, leadership, team building for SaaS startups, virtual CTO services ✅ Technical Advisor - code audits, architecture reviews, cloud migration (AWS/Azure), Cloud Architect guidance ✅ Full Stack Development - React, Next.js, Node.js, Python, TypeScript, JavaScript, React Native, React for mobile & Web development ✅ AI engineering & LLM Integration - RAG, LLM agents, NLP, Computer Vision, ML, chatbots, Generative AI Agent Development ✅ AI Architect & SaaS Architecture - multi-tenant, API-first, compliance, scaling, Software Architecture & Design ✅ Data & Analytics - SQL, pipelines, data visualization, ML analytics, data science, data analysis ✅ DevOps - AWS, Azure, Terraform, Docker, ArgoCD, CI/CD, Firebase support ✅ Mobile App Development - React Native, Android App Development, cross-platform SAAS mobile features 👨🏻‍💻 TOOLS & TECHNOLOGIES Frontend: React, Next.js, Angular, Vue.js, HTML, CSS, JavaScript, TypeScript, Tailwind, MUI, React Native Backend: Node.js, NestJS, Express, Python, Java, FastAPI, Django, Flask, GraphQL AI/ML: GPT, GPT-3, Claude, RAG, LangChain, Pinecone, FAISS, NLP, Deepgram, PyTorch, TensorFlow, ML, Deep learning Cloud: AWS (Cognito, Lambda, EKS, S3), Azure (AI Foundry, Document Intelligence, APIM) DB: PostgreSQL, MongoDB, SQL, Neo4j, Pinecone, Qdrant DevOps: Docker, Terraform, Pulumi, ArgoCD APIs: OpenAI, Anthropic, Stripe, Pipedrive, MS Graph, REST, GraphQL, gRPC 🔄 HOW WE WORK TOGETHER Discovery Call - We discuss goals, challenges and product vision Technical Audit & Roadmap - I audit your stack and deliver a clear plan (Product Development, Solution Architecture, AI Development) Build & Ship - Weekly milestones, production-quality code (AI Agents, AI Automation, agentic AI workflows) Scale & Optimize - Performance tuning, AI automation, cost reduction, growth prep 🟢 MY CORE FOCUS AREAS SaaS product development (multi-tenant, API-first, AI-native) Healthcare & MedTech (compliance, real-time monitoring, HIPAA/GDPR) LegalTech (document intelligence, workflow AI automation, AI research) EdTech & LMS platforms (ML, personalized learning, analytics) API integration & platform scaling (CRM, ERP, real-time sync) AI-powered automations & AI automations (LLMs, RAG, NLP)

I build HIPAA-compliant EHR/EMR systems, AI-powered healthcare platforms, and clinical automation tools trusted by U.S. hospitals, clinics, and medical startups with 9+ years of specialized experience. HIPAA Certified (HIPAA Training), valid through 2028. 𝗜 𝐝𝐨𝐧'𝘁 𝗷𝘂𝘀𝘁 𝘄𝗿𝗶𝘁𝗲 𝗰𝗼𝗱𝗲. 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘁𝗵𝗮𝘁 𝗰𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻𝘀 𝗮𝗻𝗱 𝗽𝗮𝘁𝗶𝗲𝗻𝘁𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗿𝗲𝗹𝘆 𝗼𝗻. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ----------------- 𝗘𝗛𝗥 & 𝗘𝗠𝗥 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom modules for patient records, scheduling, billing, claims management, and clinical documentation built for real-world hospital and clinic workflows. 𝗛𝗜𝗣𝗔𝗔 & 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲-𝗙𝗶𝗿𝘀𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Every system I build complies with HIPAA, COPPA, SOC-2, and ONC standards, with encrypted data storage, role-based access controls, and full audit logging baked in from day one. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Seamless integration using HL7, FHIR, CCD, and CDA protocols with REST and GraphQL APIs enabling secure, real-time health data exchange across systems. 𝗔𝗜 and 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Predictive analytics, medical report analysis, imaging workflows, RAG pipelines, and AI-driven clinical decision support built on OpenAI API, Amazon Bedrock, and SageMaker. 𝗧𝗲𝗹𝗲𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲 & 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 Secure video consultations, real-time chat, appointment booking, digital health monitoring, and patient portal development. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: JavaScript, TypeScript, Python, PHP, SQL, HTML, CSS 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: React, Angular, Vue, React Native, Node.js, Express, SocketIO, Laravel, CodeIgniter 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞: AWS (Bedrock), MySQL, MongoDB 𝐀𝐈 & 𝐎𝐂𝐑 𝐓𝐨𝐨𝐥𝐬: OpenAI API, Amazon Bedrock, Amazon SageMaker, AWS Textract, Tesseract 𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Agile/Scrum, CI/CD, Test-Driven Development 𝐓𝐨𝐨𝐥𝐬: Git, JIRA, Notion, VS Code 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞-𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 - EHR/EMR development - HIPAA Compliance - HL7/FHIR Integration - Healthcare Interoperability - Telemedicine App Development - Medical AI/Health AI - RAG Pipelines - LLM Integration - Patient Portals and Scheduling - Medical Billing and Claims - ONC & SOC 2 Compliance - OCR & Document Extraction 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞? 1. Built & deployed HIPAA-compliant platforms now managing 1M+ patient records across U.S. hospitals, clinics, and health-tech startups.   2. Deep expertise in medical workflows, interoperability standards, and healthcare compliance, not just general development   3. Hands-on experience integrating AI, LLMs, and RAG pipelines into existing EHR environments   4. Led cross-functional teams building secure, scalable, regulatory-ready solutions end-to-end   5. Committed to confidentiality, reliability, and being a long-term technical partner, not just a one-time hire 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 If you are a healthcare provider, clinic, hospital, or digital health startup looking for a developer who truly understands both the technology and the compliance landscape, let's connect. I am ready to help you build secure, intelligent, & impactful healthcare solutions that make a real difference.

🚀 Bring Your Ideas to Life, I Build Apps & Websites That Wow! Have a vision? I will make it real. With 13+ years of experience in web and mobile development, I transform ideas into high-quality, fully functional applications. Why Clients Choose Me: ✅ End-to-End Development: Every project follows a meticulous workflow Investigation → Development → QA Review → Code Review → Deployment. Nothing slips through the cracks. ✅ Clear Communication & Support: I am available for calls anytime to discuss tasks or new projects. Working exclusively on Upwork means I am always reachable when it matters most. ✅ Trusted & Verified: With over 13 years as a verified member of the web and app ecosystem, your project is in safe hands. 💡 Services I Offer: ✓ Full Stack Web & Mobile App Development (iOS & Android) ✓ OpenAI & ChatGPT Integrations ✓ Frontend: HTML, CSS, JavaScript, Bootstrap, React.js, Angular.js, Vue.js ✓ Backend: Node.js, Laravel, Django, PHP, Python ✓ CMS & E-commerce: WordPress, Shopify, Magento ✓ Databases: MySQL, MongoDB, SQLite, PostgreSQL ✓ Mobile Languages and Frameworks: Swift, SwiftUI, Kotlin, React Native, Flutter, Ionic ✓ Cloud & Hosting: Firebase, AWS, GoDaddy ✓ UX/UI Design & Performance Optimization ✓ Support, Maintenance, Audit & Code Review 🌟 Expertise Across App Genres: ✪ ChatGPT-powered apps & AI integrations ✪ AI powered Chatbots and AIAgents ✪ Social networking & dating apps, instant messaging ✪ Geolocation, restaurant, travel, shopping apps ✪ Health, fitness & educational apps ✪ Video streaming & processing apps (RTMP, Wowza) ✪ Online booking & appointment apps ✪ E-commerce & payment integration ✪ Live streaming with dual camera support ✪ Push notifications, social logins, REST APIs, animations My Promise: “Whatever you imagine, I can create beautifully, efficiently, and reliably.” Send me a message today and let’s transform your idea into a product that impresses!

Building AI solutions that solve real business problems—not just impressive demos. I help businesses solve real-world challenges using Machine Learning, Data Science, and AI. Whether it's predictive analytics, intelligent document processing, AI agents, workflow automation, or computer vision, I build solutions that integrate seamlessly into your products and business processes. My approach starts with the problem, not the technology. Before choosing an LLM or the latest AI framework, I first understand your data, business objectives, and technical constraints. Sometimes a traditional machine learning model is the fastest, most accurate, and most cost-effective solution. Other times, the right approach is a RAG system, an AI agent, or an AI-powered automation workflow. I choose the technology that delivers the best outcome—not the one that's simply trending. What I Can Help With • Predictive modelling for classification, regression, forecasting, and anomaly detection • Data analysis, feature engineering, and model evaluation • NLP for document processing, text classification, information extraction, and semantic search • Retrieval-Augmented Generation (RAG) applications over private knowledge bases • AI agents and multi-agent systems for reasoning, planning, and workflow automation • Computer vision solutions, including object detection, image segmentation, OCR, and medical image analysis • Synthetic data generation using diffusion models • AI-powered workflow automation with APIs, databases, MCP, and low-code platforms like n8n I've built AI solutions ranging from traditional machine learning models for large-scale document analysis to modern LLM-powered applications, RAG systems, and computer vision models. My focus is always the same: choosing the right technology to solve the problem efficiently and reliably. Tech Stack: Python • FastAPI • Pandas • NumPy • Scikit-learn • TensorFlow • PyTorch • OpenCV • YOLO • Hugging Face • OpenAI • Claude • Ollama • LangChain • LangGraph • RAG • ChromaDB • SQL • Docker • Git • n8n If you're not sure whether your project needs a traditional machine learning model, a RAG application, an AI agent, or an automated workflow, send me a message with what you're trying to achieve. I'll give you a straightforward recommendation on the best approach.

Top-Rated AI/ML Engineer with 7+ years building intelligent, scalable web applications and AI-powered automation systems. I specialize in integrating Large Language Models (LLMs), machine learning pipelines, and conversational AI into production-grade platforms across healthcare, finance, eCommerce, SaaS, and logistics. Core Expertise: - AI/ML Development: Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, scikit-learn, RAG pipelines, vector embeddings, prompt engineeringPython, - Chatbots & Conversational AI: AI agent development, NLP, intent classification, multi-turn dialogue systems, automated workflow routing - Full-Stack Development: Ruby on Rails, Node.js, FastAPI, React.js, Vue.js, Angular, REST APIs, GraphQL, microservices - Backend & Databases: PostgreSQL, MySQL, MongoDB, Neo4j, Redis, SQL, NoSQL, scalable architecture - Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD, MLflow, Airflow - Automation & Integration: n8n, Zapier, Make(Dot)com, API integrations, webhook handling, ETL pipelines Key Projects: - OmniBot – AI-powered HR automation chatbot processing 10,000+ documents with multi-agent coordination and intelligent routing - AI-Driven PC Part Compatibility Chatbot – ML-based recommendation engine using Random Forest and SVM - Employee Attrition Prediction Chatbot – Predictive modeling with EDA and feature engineering for workforce insights - AI Mechanical Advisor – RAG-based car parts chatbot with intelligent database search and expert recommendations - I deliver end-to-end AI solutions, from data preprocessing and model development to deployment and optimization, combining clean code, modular architecture, and performance-first engineering with cutting-edge AI capabilities. Top-Rated Plus | $400K+ Earned | 100% Job Success | 12,565+ Hours | 0-4 Hour Response Time

I build specialized ML models for time series data, paired with conversational AI interfaces that let users query their data, generate forecasts and detect anomalies in natural language — replacing static dashboards with direct, interactive access to the data and models. PhD in statistics, 15+ years in applied ML, with peer-reviewed publications. AWS-certified ML specialist and generative AI developer. Deliverables: - ML models for time series forecasting, anomaly detection, clustering and classification - AI agents with Amazon Bedrock AgentCore and Strands Agents - Serverless ML solutions on AWS Lambda with Amazon API Gateway endpoints - Custom Amazon SageMaker containers for training and inference - Integration with data backends such as ClickHouse, PostgreSQL and S3 Tools & frameworks: Python · SQL · Docker · PyTorch · TensorFlow · scikit-learn · XGBoost · LightGBM · CatBoost · Amazon Bedrock (AgentCore, Strands Agents) · Amazon SageMaker (AutoPilot, BYOC) · AWS Lambda · Amazon API Gateway · ClickHouse · PostgreSQL · RDS · S3

Welcome to my Upwork profile. AI Engineer building production-grade AI systems that automate real business operations. Expert in Machine Learning, Generative AI, and Large Language Model (LLM) systems, I design and deploy solutions that reduce manual work, improve response time, and scale business workflows. 🔹 CORE EXPERTISE Experienced in designing scalable, production-grade AI architectures using OpenAI APIs, LLM frameworks, and modern vector search systems. • LLM Applications (GPT-4, GPT-5, Claude, Gemini) • Agentic AI Systems (LangChain, LangGraph) • Retrieval-Augmented Generation (RAG) • Vector Databases (FAISS, Pinecone, ChromaDB) • AI Voice Agents (Twilio, Retell AI, real-time call automation) • NLP Pipelines (classification, extraction, summarization) • AI Chatbots & Conversational Systems • AI Automation Systems (n8n, Make, API workflows) • API-based AI integrations & backend systems • Hallucination mitigation & response validation • Prompt Engineering 🧠 NOTABLE AI SYSTEMS 📞 AI Lead Qualification & CRM Automation System Designed an AI-driven system to automate inbound lead handling, qualification, and CRM updates. 🔹 Solution • GPT-based lead qualification and scoring • Conversation analysis and structured data extraction • CRM integration for real-time updates • Automated routing and prioritization 🔹 Result ✔ Faster lead response time ✔ Reduced manual screening effort ✔ Improved sales workflow efficiency ━━━━━━━━━━━━━━━━━━━ ⚙️ AI Workflow Automation System (n8n + GPT) Built end-to-end automation pipelines connecting AI models with business tools and APIs. 🔹 Solution • Multi-step workflows using n8n • GPT-based decision-making and automation • Integration with email, CRM, and databases • Error handling and scalable execution logic 🔹 Result ✔ Reduced repetitive manual tasks ✔ Improved operational efficiency ✔ Enabled scalable automation ━━━━━━━━━━━━━━━━━━━ 📄 AI Data Extraction & Document Processing System Developed AI pipelines to extract, structure, and analyze data from unstructured documents. 🔹 Solution • NLP + GPT-based extraction pipelines • Classification and structuring workflows • Processing PDFs, reports, and raw text • Clean structured outputs for downstream systems 🔹 Result ✔ Converted unstructured data into usable formats ✔ Improved analytics and reporting workflows ✔ Reduced manual data processing time ━━━━━━━━━━━━━━━━━━━ 🤖 GPT Chatbots & AI Assistants Built domain-specific AI assistants for customer support and internal operations. • GPT-powered chatbot development • RAG-based knowledge grounding • Vector search + retrieval pipelines • API integrations with business systems ━━━━━━━━━━━━━━━━━━━ 🏢 Internal RAG Knowledge Systems Developed AI assistants trained on company documents and internal data. • LangChain-based RAG architecture • Vector indexing (FAISS / Pinecone / ChromaDB) • Secure document ingestion pipelines • Context-aware response systems If you're looking to build ML models, develop LLM/GPT applications, create RAG-based assistants, or automate business workflows using AI, I can help you design and deploy a scalable, production-grade solution.