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Principal AI Engineer and Software Architect specializing in production AI systems: agents, RAG platforms, workflow automation, document intelligence, and full-stack AI applications. I help companies turn complex AI ideas into reliable software products — with the architecture, backend services, APIs, cloud infrastructure, evaluation, observability, security, and deployment practices needed for real business use. My background combines 20+ years of enterprise software engineering with hands-on applied AI delivery across regulated, high-volume environments. I can own both the AI layer and the production system around it. What I build: ▸ AI Agents & Agentic Workflows Custom agents that use tools, call APIs, retrieve data, produce structured outputs, handle multi-step tasks, recover from failures, and integrate with real business workflows. Stack: LangGraph, LangChain, OpenAI, Anthropic Claude, AWS Bedrock, MCP, tool/function calling, memory, state machines, human review, tracing, evaluation, and guardrails. ▸ Production RAG & Knowledge Systems RAG systems for documents, logs, runbooks, tickets, policies, contracts, and internal knowledge. I design ingestion, chunking, embeddings, hybrid search, BM25 + vector retrieval, reranking, citations, grounding, evaluation, and hallucination reduction using pgvector, PostgreSQL, OpenSearch, Pinecone, Weaviate, FastAPI, Claude, OpenAI, and AWS Bedrock. ▸ AI Automation Systems LLM-powered automation for finance, claims, support, operations, research, reporting, document workflows, approvals, and legacy processes. I connect AI to APIs, databases, queues, SaaS tools, internal systems, and human-in-the-loop review. ▸ Full-Stack AI Applications AI assistants, internal copilots, document extraction tools, AI search products, workflow apps, dashboards, SaaS platforms, and customer-facing AI products. ▸ Software Architecture & Backend Engineering Java, Kotlin, Spring Boot, Python, FastAPI, Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, Redis, Kafka, REST, GraphQL, microservices, event-driven architecture, system design, and API integrations. ▸ Cloud, DevOps & Production Readiness AWS, AWS Bedrock, Docker, Kubernetes, Terraform, CI/CD, monitoring, logging, cost-aware deployment, security review, observability, and production operations. Selected production experience: • Built production RAG with hybrid BM25 + vector retrieval, reciprocal rank fusion, reranking, citation-grounded streaming, and a CI-gated evaluation harness that improved faithfulness from 0.81 to 0.95. • Built LangGraph agents with explicit state machines, conditional replanning, validated tools, Postgres checkpointing, LangSmith tracing, and resumable execution after process failure. • Built MCP servers exposing typed tools for sandboxed SQL, HTTP/GraphQL, and semantic search across stdio, HTTP, and SSE. • Led AI-driven automation for high-volume claims workflows, including ingestion, validation, transformation, exception handling, and LLM-assisted legacy rule extraction. • Built agent-based transaction analysis using REST, Splunk, and AI agents for real-time financial data; finalist in a Finance Technology AI Hackathon. • Architected enterprise backend and data platforms using Java/Spring Boot, Kafka, PostgreSQL, Oracle, AWS/Azure, Terraform, Docker, Kubernetes, CI/CD, logging, tracing, and production runbooks. • Led delivery across financial services, healthcare, retail, hospitality, publishing, and technology clients, including distributed teams up to 55 engineers and multi-vendor integrations. Why clients hire me: • I can own the full system: AI workflow, backend, frontend, database, cloud, and deployment. • I design for reliability, evaluation, observability, security, cost control, and maintainability. • I understand regulated environments, PII, audit trails, compliance constraints, and production risk. • I can operate as hands-on builder, architect, technical lead, and stakeholder-facing delivery partner. Core stack: AI Agents, RAG, LLM Apps, LangGraph, LangChain, MCP, OpenAI, Anthropic Claude, AWS Bedrock, Tool Calling, Function Calling, LLM Evaluation, RAGAS, LangSmith, pgvector, Pinecone, Weaviate, OpenSearch, Python, FastAPI, Java, Kotlin, Spring Boot, Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, Redis, Kafka, AWS, Docker, Kubernetes, Terraform, CI/CD. Send me a short description of what you want to build, what systems/data it needs to connect to, and what outcome matters. I’ll help define the architecture, risks, milestones, and practical path to production.

I am a AI specialist and a problem-solver. I am expert in using Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built applications, models, and solutions for a variety of companies. I have developed cutting edge, custom machine learning models and successfully integrated them within existing structures. My goal is to revolutionize your business. I believe that machine learning and AI is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

I design and develop scalable, user-friendly web applications with a focus on innovation and efficiency. With a decade of experience, I excel in tackling complex coding challenges and managing multiple projects simultaneously. My strong foundation in software engineering is complemented by my passion for AI development, where I explore cutting-edge technologies to enhance user experiences. As a founder and lead developer, I have prioritized collaborative teamwork, mentoring fellow engineers, and fostering an environment that encourages creative problem-solving. If you're seeking a versatile developer who can deliver high-quality solutions while adapting to your unique project needs, let's connect and discuss how I can help bring your ideas to life.

𝗚𝗼𝘁 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘀𝘆𝘀𝘁𝗲𝗺 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲, 𝗮 𝗹𝗲𝗴𝗮𝗰𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗼𝗿 𝗮 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸? 𝗧𝗵𝗮𝘁'𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗮𝘁 𝗜 𝗱𝗼. I'm a Senior Software Architect and Development Leader with 30+ years building enterprise-grade systems — from cloud-native SaaS platforms and real-time data pipelines to payment engines and cloud migrations. I design architecture that makes your product reliable, scalable, and maintainable. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗟𝗜𝗩𝗘𝗥: 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 (𝗔𝘇𝘂𝗿𝗲 / 𝗚𝗖𝗣 / 𝗔𝗪𝗦) I design and build production systems — multi-tenant SaaS, microservices on AKS, serverless with Azure Functions and AWS Lambda. Architected solutions using 30+ Azure services including Cosmos DB, Data Factory, Databricks, APIM, Application Gateway. Also work with GCP (BigQuery, Apigee), AWS (EC2, Lambda, S3, RDS), and Cloudflare (Zero Trust, CDN). 𝗘𝗧𝗟 & 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 I build pipelines at real-world scale. Most recently designed ETL streaming trade data from 160 servers in real time using Kafka, Spark Structured Streaming, Delta Lake, and Databricks — feeding into BigQuery. At Microsoft, built migration pipelines moving billions of accounts with bidirectional sync. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃 (.𝗡𝗘𝗧 / 𝗚𝗼 / 𝗡𝗼𝗱𝗲.𝗷𝘀 / 𝗣𝘆𝘁𝗵𝗼𝗻 / 𝗥𝗲𝗮𝗰𝘁) Backends in C#/.NET Core, Go, Node.js, Python. RESTful APIs, microservices, frontends with React/NextJS and Angular. Delivered SaaS platforms, payment gateways, and B2B systems for Fortune 500 companies including FedEx Office, Staples, and Office Depot. 𝗔𝗜/𝗠𝗟 𝗗𝗮𝘁𝗮 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 At Microsoft, built data layers and ETL frameworks powering AI/ML on O365 Exchange — developed the data layer for Microsoft's "Aether" AI/ML framework, which became the foundation for Microsoft Graph Data Connect. 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 Built credit card processing engines, payment gateways certified with Visa International and First Data, in-house Visa/MasterCard systems. Expert in PCI DSS, PKI/SSL/TLS, encryption (RSA, AES), smart cards (EMV, MULTOS, JavaCard), SSO/OAuth/SAML. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 Led teams of 40+ engineers across U.S. and Europe. Agile processes, CI/CD pipelines, observability (Prometheus, Grafana, OpenTelemetry). Architectural oversight to 60 developers across multiple product lines. 𝗡𝗢𝗧𝗔𝗕𝗟𝗘 𝗥𝗘𝗦𝗨𝗟𝗧𝗦: - Multi-tenant SaaS prop trading platform from legacy — improved scalability, reduced costs - Real-time risk pipelines processing data from 160 servers, sub-second latency - At Microsoft: ETL migrating billions of accounts from Hotmail to O365 Exchange Cloud - Architecture lead for subscription billing at $20B+ IT company, Salesforce migration - Web-to-print SaaS: 30+ plants, 20K+ brokers (FedEx Office, Staples, Office Depot) - Certified payment gateways with Visa International (VITAL) and First Data (FDMS) 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞: I understand what you're trying to achieve, ask the right questions, identify risks early, and propose architecture that fits your budget and timeline. Clear communication, realistic estimates, no surprises. Hands-on dev, technical architecture, or fractional CTO — I adapt to your project. 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗞𝗜𝗟𝗟𝗦: 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: C#, Python, Go, C/C++, Java, TypeScript, JavaScript, SQL, PHP 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: .NET Core/.NET 6+, ASP.NET MVC, Blazor, Node.js, REST/gRPC APIs, Spring MVC 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, NextJS, Angular, HTML5/CSS, Bootstrap 𝗖𝗹𝗼𝘂𝗱: Azure (AKS, Functions, Cosmos DB, Azure SQL, APIM, Application Gateway, Redis, ADLS, Event Hub, Databricks, ARM), AWS (EC2, Lambda, S3, RDS), GCP (BigQuery, Apigee), Cloudflare 𝗘𝗧𝗟: Azure Data Factory, Spark Streaming, Delta Lake, Kafka, RabbitMQ, Informatica, SSIS 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MSSQL, MySQL, PostgreSQL, Oracle, Cosmos DB, MongoDB, Hadoop/HDFS, BigQuery, Azure Synapse 𝗔𝗜/𝗠𝗟: Data layer architecture for ML workloads, Hadoop-based AI/ML ETL, ADF ML pipelines, Computer Vision 𝗗𝗲𝘃𝗢𝗽𝘀: Azure DevOps, GitLab CI/CD, Docker, Kubernetes, Git, Terraform 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: TDD, MSTest, Moq, Playwright, Artillery 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: App Insights, Prometheus, Grafana, Loki, OpenTelemetry 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: PKI, SSL/TLS, RSA/AES, PCI DSS, Kerberos, EMV, HSM 𝗔𝘂𝘁𝗵: OAuth 2.0, OpenID Connect, SAML, SSO, LDAP, Azure AD/Entra ID 𝗕𝟮𝗕: cXML (Ariba, SAP, Coupa), EDI, Visa/MC processing 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Microservices, Multi-tenant SaaS, Event-driven, DDD, SOLID, Agile/Scrum/Kanban/SAFe

🤖𝐈𝐟 𝐦𝐲 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐲𝐨𝐮𝐫 𝐚𝐠𝐫𝐞𝐞𝐝 𝐦𝐞𝐭𝐫𝐢𝐜𝐬, 𝐲𝐨𝐮 𝐝𝐞𝐬𝐞𝐫𝐯𝐞 𝟏𝟎𝟎% 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐦𝐨𝐧𝐞𝐲 𝐛𝐚𝐜𝐤. Most businesses hire AI developers to build what they ask for. That's the problem. I don't just build what clients request - I figure out what they actually need first. Usually what they think they need isn't the highest-ROI opportunity. AI-powered solutions delivering production-ready systems measurable ROI and high-impact results - not just prototypes. Work spans finance, healthcare, e-commerce, construction, academia and web platforms, often unlocking $100K–$300K in annual savings 𝐍𝐄𝐗𝐓 𝐒𝐓𝐄𝐏𝐒:- Send me a message with your project problem, budget & timeline. I’ll reply within 24 hours to confirm if I’m the right fit. What Is Built / How Problems Are Solved with AI: ▶️ Multi-Agent AI Systems (LangGraph, LangChain) ▶️ Custom RAG Pipelines (OpenSearch, Pinecone, Supabase) ▶️ Voice AI (VAPI, ElevenLabs, LiveKit) ▶️ Sales & Support Automation (chat + voice) ▶️ Process Automation (n8n, Make, Zapier) ▶️ Full-Stack Development (Node.js, Python, React, Next.js, React Native) ▶️ Dashboards, forecasting models, ETL pipelines ▶️ Chatbots for WhatsApp, Telegram, SMS (via Twilio) My Portfolio Includes: ✔️ Generative AI development: GPT-4o, Claude, Mistral, Llama, Hugging Face, LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, Qdrant, Stable Diffusion, Flux 1.1, Ideogram, Lora, n8n, Agentic AI, CrewAI, BabyAGI, AutGen, DeepSeek, Prompt Engineering ✔️ Cost & performance optimization of AI applications ✔️ Time series forecasting models ✔️ ETL & data automation (Airtable, Webflow, Make) ✔️ AI Web development (Django, Flask, Dash with ML models) ✔️ Payment Gateway Integration ✔️ Dashboard development (Plotly Dash, PowerBI, Excel, Looker) ✔️ Data Analytics & Reporting ✔️ Translating business problems to technical teams ✔️ Geospatial Mapping ✔️ Chatbot integration (WhatsApp, Telegram, SMS via Twilio) ✔️ API development & integration ✔️ Research Publications Tech Stack/ Expertise: ⏺️ Python Libraries: Scikit Learn, Pandas, Numpy, Plotly, Tensorflow, Facebook Prophet, Spacy, NLTK, GeoPandas, OpenAi, LangChain, HuggingFace, Matplotlib, Seaborn ⏺️ Web Development: Dash, Django, Flask, FastAPI, Docker, MySQL, MS SQL, Pinecone, HTML5, CSS3, JavaScript ⏺️ MS Office: Excel (Advanced), PowerPoint (Advanced), Word (Advanced), Project ⏺️ Data Visualization / BI: Power BI, Looker, Tableau ⏺️ Front-end Tools: HTML5, CSS3, JavaScript ⏺️ Big Data Tools: PySpark, Hadoop ⏺️ Web-Scraping: Beautiful Soup, Scrapy, Selenium, Playwright ⏺️ Version Control: Git ⏺️ ERP Tools: SAP, Hysabat ⏺️ Cloud Technology: GCP, AWS, Azure, Digital Ocean Why Clients Hire: ⭐ Guidance on what NOT to build (most consultants won’t do this) ⭐ 5.0 rating ⭐ Production systems with metrics, logs, and clean handoffs ⭐ Coordinate senior engineers across ML, data, and cloud ⭐ Clear communication and global availability Let’s build AI solutions that actually work. #AIAgentDevelopment #DataAnalysis #DataEngineering #CloudComputing #PredictiveModeling #MLOps #ImageProcessing #AIChatbot #Python #OpenAIAPI #VectorDatabase #ArtificialIntelligence #RAG #LangChain #Pinecone #MultimodalAI #ProductionDeployment #Deep Learning #Artificial Neural Network #Chatbot Development #Computer Vision #Natural Language Processing #Machine Learning #Artificial Intelligence Ethics #Artificial Intelligence #Chatbot #Machine Learning #Deep Neural Network #Data Visualization #Data Analysis #Information Analysis #Data Science #Data Cleaning #Prompt Engineering #Generative AI #Large Language Model #Granite