Your cloud bill is not a fixed cost. It's an engineering problem - and I solve it. Most companies overpay AWS or GCP by 30-70%. The money is hiding in untagged resources, oversized nodes, idle NAT gateways, and architectures that were designed to work - not to scale economically. I find it, I fix it, and I deliver measurable ROI within the first 30 days. With $900K+ earned on Upwork, 100% Job Success Score, and 19+ years as a CTO and Cloud Architect, I bridge Engineering and Finance - translating infrastructure complexity into business impact your CFO can read. Typical Problems I Solve → AWS or GCP costs are too high and growing month over month → No visibility into what's driving cloud spend → Need a cloud infrastructure audit before scaling → AI workloads are expensive and unpredictable to run → Compliance requirements (SOC 2, GDPR, HIPAA) creating engineering debt → Architecture needs redesign for cost-efficiency before next funding round Proven Client Results ▪️ Shoebacca (Large US E-commerce) → Challenge: AWS costs exceeded budget by 40%, with no tagging, no FinOps governance, and no cost visibility. → Solution: EKS rightsizing, NAT/ALB/EBS audit, serverless Lambda migration, full FinOps governance with cost allocation tags. → Business Impact: $264,000 annual savings - AWS costs cut by 75% in one week. ▪️ US Influence Platform → Challenge: Monthly AWS bill uncontrolled, infrastructure unaudited, site latency degrading. → Solution: Infrastructure audit + Terraform migration + reserved instance strategy. → Business Impact: Monthly AWS bill reduced by 50%. Site latency improved as a bonus. ▪️ ChilliSauce (UK Event Agency) → Challenge: AWS ECS/Fargate costs growing with no optimization strategy. → Solution: Continuous FinOps management, ECS rightsizing, Fargate cost controls. → Business Impact: 30% cost reduction maintained continuously. ▪️ Datos Health (Israeli HealthTech) → Challenge: No monitoring or alerting on GCP infrastructure - production issues discovered by users. → Solution: Monitoring and alerting built from scratch with Prometheus and Grafana on GCP. → Business Impact: Zero production blind spots. Engineering team now detects issues before users do. Core Delivery Areas → Forensic Cloud Cost Audits - identify immediate 20%+ savings before writing a single line of IaC → FinOps in CI/CD - cost guardrails embedded directly in your deployment pipeline, not managed by your finance team → AI workload cost optimization - GPU orchestration, vector database cost management, LLM infrastructure efficiency → Spot/Reserved Instance Strategy & Orchestration → Serverless architectural redesign (Lambda, ECS/Fargate) for cost-efficient scaling → DevSecOps: SOC 2, GDPR, HIPAA compliance, Zero Trust architecture, IAM hardening Stack: AWS (EKS, Lambda, EC2, S3, RDS, CloudFront) · GCP · Terraform · Kubernetes · Docker · GitHub Actions · ArgoCD · Prometheus · Grafana · Datadog · Apache Kafka · PostgreSQL · AI workloads Available during US business hours (EST/PST overlap). Cloud cost optimization is the highest-ROI DevOps investment in 2026. Send an invite - I'll show you exactly where your cloud budget is leaking.

Expert-Vetted AI & Full-Stack Engineer | 100% Job Success | 30+ Projects | $170K+ Earned Past Experience : Goldman Sachs, Morgan Stanley, KPMG, Oracle & Others I help startups and enterprises ship AI products and the backend systems behind them — from RAG chatbots and LLM integrations to scalable APIs, data pipelines, and production deployments. 10+ years building software. 30+ Upwork projects, all 5-star rated. Expert-Vetted (top 1%). One engineer who can own the problem from architecture to live product — clear communication, on-time delivery, code that scales. WHAT I BUILD AI & LLM • RAG chatbots and knowledge assistants over PDFs, docs, wikis, Notion, and internal APIs • LLM integration with OpenAI (GPT-4o, GPT-4), Anthropic Claude, and Google Gemini • AI agents with tool use — CRM, email, Slack, webhooks — plus guardrails and human approval • Streaming chat UIs with conversation memory, citations, and admin dashboards • LangChain, LlamaIndex, vector search (Pinecone, pgvector, Chroma, Weaviate, Qdrant) Backend & APIs • REST and GraphQL APIs in Python (FastAPI, Django, Flask), Node.js, and Java/Spring Boot • Microservices, event-driven architecture, authentication, and third-party integrations • PostgreSQL, Redis, MongoDB — schema design, optimization, migrations • Data pipelines with Kafka, Spark, and Airflow for analytics and ETL Frontend & Cloud • React, TypeScript, Next.js, Angular — SaaS dashboards and polished product UIs • AWS, GCP, Azure — Docker, CI/CD, monitoring, production hardening WHY CLIENTS HIRE ME Most AI projects break at the seams — weak APIs, messy data ingestion, no real UI, nothing deployed. I deliver the full path: data in → embeddings & retrieval → LLM → API → frontend → cloud.

⏩ 𝐀𝐕𝐀𝐈𝐋𝐀𝐁𝐋𝐄 𝐓𝐎𝐃𝐀𝐘: Updated daily | May 6 𝐒𝐞𝐧𝐝 𝐦𝐞 𝐚𝐧 𝐢𝐧𝐯𝐢𝐭𝐞, 𝐚𝐧𝐝 𝐈’𝐥𝐥 𝐠𝐢𝐯𝐞 𝐲𝐨𝐮 𝐚 𝐅𝐑𝐄𝐄 𝟑𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧. ⭐️⭐️⭐️⭐️⭐️ 𝟓.𝟎 𝐫𝐚𝐭𝐢𝐧𝐠 𝐚𝐜𝐫𝐨𝐬𝐬 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐔𝐩𝐰𝐨𝐫𝐤 𝐜𝐨𝐧𝐭𝐫𝐚𝐜𝐭𝐬 - $200K+ delivered via Upwork; $2M+ in external engagements - 25% cost reduction via cloud automation - 20x throughput improvement for enterprise client platforms - Trusted by clients in healthcare, finance, and biotech With 20+ years of experience, I deliver scalable cloud, data, web, and mobile solutions that reduce costs and unlock business performance. As Co-Founder & CTO of Infopoly, I partner with decision-makers to build systems that are strategic, secure, and future-proof. From startups to enterprise, I help you turn complexity into clarity - and strategy into action. ✅ What I Do - Combine deep technical expertise with business alignment to drive real results - Collaborate directly with C-level and product teams - Deliver systems that scale, perform, and save money 🧠 Core Services - Cloud Optimization (AWS, Azure, GCP): Build secure, high-performance environments - Data Analytics & Visualization: Actionable insights via Power BI, Tableau - Full-Stack Web & Mobile Development: React, JS/TS, Python, Flutter, React Native - API Development: FastAPI, NestJS - Agile Leadership: Cross-functional team delivery, sprint planning, execution - Technology Strategy: Aligning platforms with real business goals 💬 Client Testimonial “Infopoly enabled a technology step change for EptivA, automating algorithms and modernizing infrastructure. Their cloud-first strategy achieved 20x higher throughput, accelerating market success.” 📅 Let’s connect. Book your free 30-minute call - we’ll build a roadmap to transform your tech and scale your results.

Full-Stack AI Lead with 15+ years of experience in AI/ML/Data Engineering. Specialist in productionizing Document AI, Agentic LLM Workflows, and Scalable Big Data systems. Master’s in Applied Mathematics. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐋𝐋𝐌 - Architecting production-grade agents and multi-intent workflows using LangGraph and LangChain. - Implementing NeMo Guardrails, DeepEval, and Langfuse to ensure security and near-zero hallucination rates. - Developing high-performance FastAPI backends for real-time operational data integration. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐎𝐂𝐑 - Specialist in extracting structure from "dirty" or non-digital sources using Visual NLP and OCR. - Lead Developer of Spark OCR. - Author and main contributor of open-source projects: Spark PDF and ScaleDP. - Expertise in document layout analysis, data extraction, and semantic search. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐌𝐋𝐎𝐩𝐬 & 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 - Architecting scalable infrastructures using Vector DBs (Milvus, Pinecone, Qdrant). - Optimizing Apache Spark (PySpark, Streaming) and Databricks pipelines; reduced processing time from days to hours. - Implementing robust CI/CD via Databricks Asset Bundles, Jenkins, and GitHub Actions. 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 - Automated de-identification and redaction for GDPR/HIPAA. - Specialist in masking sensitive information in DICOM, PDF, and image formats. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 AI & LLM: LangGraph, LangChain, RAG, Llama 3, Gemini, GPT-4, Vertex AI, Hugging Face, GliNER. Backend: Python, Scala, FastAPI, Node.js, PostgreSQL, MongoDB. Vector DBs: Pinecone, Milvus, Qdrant. Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Jenkins, AirFlow. Big Data: Apache Spark (PySpark, Streaming, MLlib), Kafka, Kinesis.

As a Fullstack developer, I have the skills and experience necessary to build robust and scalable web applications from start to finish. I specialize in using the MERN stack, which includes MongoDB, Express, React.js, and Node.js, to create dynamic and responsive web applications. With years of experience in software development, I have developed expertise in both front-end and back-end development, enabling me to create seamless user experiences and robust server-side applications. I am proficient in a range of programming languages, including JavaScript, HTML, CSS, and SQL, and I am constantly keeping up with the latest trends and best practices in web development. In my work, I prioritize clean, modular code that is easy to read, understand and maintain. I am skilled at working independently or as part of a team, and I have experience collaborating with designers, project managers, and other developers to bring projects to successful completion. Whether you are looking to build a new web application from scratch or need help maintaining and updating an existing application, I have the skills and experience necessary to deliver high-quality results on time and within budget. Contact me today to discuss your project needs and how I can help bring your vision to life.

🔹 I build data platforms that handle petabytes of data, millions of events, and ensure zero-tolerance downtime. I’m a senior data engineer and cloud architect with over a decade of experience building production-grade, petabyte-scale data platforms for high-growth, data-intensive businesses. I specialize in real-time analytics, low-latency systems, and cloud cost optimization — the kind of work that breaks if done wrong and gets noticed by leadership when done right. 🚀 Proven Business Impact - +18% revenue uplift by detecting and blocking high-risk fraud users in a real-time data platform - Less than 30ms read/write latency for high-DAU applications handling millions of events per day - Production-grade pipelines supporting analytics & ML with strict data quality guarantees What I’m Typically Brought In For - Stabilizing broken or unreliable data pipelines - Designing real-time or near-real-time architectures - Reducing Snowflake/cloud warehouse costs Core Stack: - Cloud & Warehousing: AWS, GCP, Snowflake, Databricks - Data Engineering: Spark, Kafka, Airflow, dbt, Terraform - Real-Time Systems: Kafka, Flink, DynamoDB - Architectures: Data Lakes, Warehouses, Lakehouses How I Work I ship systems that survive production, scale, and audits. That means clear scope, measurable outcomes, and no “hope it works” engineering. 📌 If your data platform is a bottleneck or a liability, let’s fix it properly. Message me to discuss your system and constraints.

I am a Certified Data Scientist & Full Stack AI Developer with a proven track record of building end-to-end intelligent solutions — from data pipelines and machine learning models to AI-powered web apps and agentic systems. I specialize in transforming raw data into actionable insights, scalable applications, and automation tools that drive business growth, efficiency, and innovation. My unique blend of Data Science + Generative AI + Full Stack Engineering enables me to not only analyze and model data but also deploy real-world AI applications that deliver measurable value. ⚡ Core Expertise 🔹 Data Science & AI - Machine Learning & Deep Learning (classification, regression, clustering, time-series) - GenAI & LLMs (RAG, fine-tuning, prompt engineering, multimodal AI). - Agentic AI (AI agents, workflow automation, orchestration) - NLP & Text Analytics (chatbots, document intelligence, sentiment analysis) - Predictive & Prescriptive Analytics (forecasting, optimization) - Statistical Modeling & A/B Testing 🔹 Full Stack & Engineering - Backend Development: Python (FastAPI, Flask), Node.js (NestJS/Express) - Frontend Development: React.js, Next.js, TailwindCSS, Shadcn UI - Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Firebase), Big Data (Spark, Hadoop) - Cloud & MLOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD, LangChain - Data Engineering: ETL pipelines, APIs, data lakes, data warehouses 🔹 Tools & Tech - Python, R, SQL - TensorFlow, PyTorch, scikit-learn - Power BI, Tableau, Plotly - Hugging Face, LangChain, OpenAI APIs - Git, GitHub Actions, DevOps practices 🚀 Services I Offer ✔️ Data Analytics & Visualization – uncover insights, create dashboards, and tell stories with data. ✔️ AI/ML Model Development – design, train, and deploy models for real-world use cases ✔️ GenAI & LLM Integration – build AI chatbots, RAG systems, document Q&A, and agent workflows ✔️ End-to-End Applications – develop full-stack apps powered by AI (frontend + backend + ML) ✔️ Predictive Modeling – forecast business trends and outcomes with data-driven strategies ✔️ Data Engineering – set up pipelines, clean data, and optimize storage for analytics/AI ✔️ Automation Solutions – streamline business processes with AI + APIs 🌍 Why Work with Me: 🏆 End-to-End Problem Solver – from data prep to AI deployment to production-ready apps 🏆 Proven Multi-Industry Experience – delivered results in eCommerce, Finance, Healthcare, Real Estate, EdTech, and more 🏆 Cutting-Edge AI Knowledge – continuously exploring the latest in GenAI, agentic AI, and full stack innovations 🏆 Clear Communication – technical or non-technical, I bridge the gap with simple explanations 🏆 Client-Centric – dedicated to delivering on time, within budget, and beyond expectations 🤝 Let’s Build Something Great If you’re looking for someone who can analyze, build, and deploy AI-powered systems, I’d love to collaborate. Whether it’s a complex ML project, a GenAI chatbot, or a full-stack AI product, I can help bring your vision to life. Let’s connect and discuss how I can add value to your project!

IoT Product Development | Embedded Linux | Edge Gateways | Firmware | Cloud | Mobile Apps I help companies build & launch end-to-end IoT products — from sensor/firmware to cloud and dashboards. 15+ years experience | Delivered 50+ IoT/Embedded projects | $100K+ earnings on Upwork ✅ What We Build ✔ IoT Devices & Edge Gateways - Embedded Linux (Yocto/Buildroot), bootloader, kernel & device drivers - BLE / LoRa / ZigBee / Thread / UWB / WiFi / LTE connectivity - Secure firmware (Secure Boot, Verified Boot, OTA/FOTA updates) ✔ Firmware & Microcontroller Development - ESP32, STM32, Nordic (nRF), NXP, Microchip, SiLabs - Sensor interfacing, low-power, battery optimized firmware ✔ Cloud & Dashboards - AWS IoT, Azure IoT, Google IoT, MQTT - Grafana dashboards, Web + Mobile apps (Flutter / MERN) ✔ Full-stack delivery (Hardware → Firmware → Cloud → App) - PCB design + Prototyping - Secure Device-to-Cloud communication - REST APIs, integrations, data analytics ⭐ Some of our notable Projects in a nut shell 🔹 Life Smarter – Consumer Home Security Edge Gateway We developed a highly customized security solution for consumer home security, enabling real-time intrusion, fire, theft, and burglary detection with automated police dispatch. The system is built on the Dusun 210-F Edge Gateway with Rockchip RK3328, integrating LoRa, Zigbee, Z-Wave, BLE, WiFi, LTE, and Hardware Security Modules (HSM) for encrypted communications. The firmware supports Secure Boot, AVB, DM-V, Rootfs encryption, and A/B firmware updates via Mender to ensure a highly secure and reliable system. 🔹 Custody Protect – IoT Smart Handcuff We recently developed an IoT Smart Handcuff used for monitoring prisoners in custody in the USA. Custody Protect helps police and prison monitoring officers track each prisoner’s health status and detect violations of predefined conditions. Our team developed the entire end-to-end stack – backend, user apps, firmware, and PCB design. The ESP32 interfaces with multiple components like RFID, LoRaWAN, BLE, WiFi-BLE Mesh Network, and UWB to securely transmit data to the cloud. 🔹 Device Thread – OpenWRT & Intel NUC-Based Edge Server We built an Edge Gateway solution where OpenWRT powers a captive portal for user activity logging and intelligent bandwidth management, including IP-based controls. An Intel NUC running Ubuntu functions as a robust OTA server for seamless updates and hosts a local server for secure Smart TV management and Automated Device Binding (ADB) operations. This setup ensures efficient, secure, and scalable network management for enterprise deployments. 🛡 Why clients choose me ✅ Production-grade experience ✅ Secure OTA updates, hardware security modules (ATECC608) ✅ Guaranteed delivery — clear milestones, demo every sprint “We didn’t just get code. We got a complete product ready for deployment.” – Upwork Client 💬 Let’s discuss your project Send your requirement, even if it's just an idea — I can help shape the your product as your expectation.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐛𝐚𝐜𝐤𝐞𝐧𝐝, 𝐀𝐈, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐧𝐝 𝐞𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐭𝐡𝐚𝐭 𝐧𝐞𝐞𝐝 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐚 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞. I’m Tilek, a Senior Backend / AI / Data Platform Engineer with 15+ years of experience building SaaS products, enterprise systems, cloud infrastructure, data pipelines, AI applications, and complex integrations using Python, .NET, Java, Node.js, PostgreSQL, AWS, Azure, Kubernetes, and modern LLM tooling. 𝗠𝗼𝘀𝘁 𝗔𝗜 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗳𝗮𝗶𝗹 𝗼𝘂𝘁𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗹𝗮𝘆𝗲𝗿. The real risks are fragmented data, weak backend architecture, unreliable integrations, missing observability, slow async workflows, poor security boundaries, untested AI behavior, and systems that become expensive to change after launch. I help startups and established teams turn AI, automation, data, and backend workflows into maintainable production products. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 • AI and LLM applications with OpenAI, Claude, RAG, LangChain, LangGraph, vector search, prompt engineering, evaluation workflows, AI agents, structured outputs, and controlled tool use • Enterprise and SaaS backend systems with Python, FastAPI, .NET/C#, Java/Spring Boot, Node.js, TypeScript, PostgreSQL, SQL Server, Redis, and API-first architecture • Data platforms for ingestion, ETL/ELT, normalization, enrichment, reconciliation, analytics, reporting, and high-volume data processing • Event-driven systems with Kafka, RabbitMQ, Airflow, queues, workers, webhooks, retries, idempotency, async processing, audit trails, and workflow orchestration • Cloud-native infrastructure across AWS and Azure with Docker, Kubernetes, Terraform, CI/CD, GitHub Actions, observability, monitoring, logging, and secure deployment practices • MLOps and AI operations including model deployment, model monitoring, evaluation pipelines, data validation, experiment tracking, workflow orchestration, and production reliability • Enterprise integrations across CRM systems, financial platforms, SaaS tools, operational software, legacy applications, third-party APIs, webhooks, and internal systems I am especially useful when a product needs to connect multiple systems, process high-volume or unreliable data, introduce AI safely, modernize an existing backend, or move from fragile workflows into a scalable SaaS platform. 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗣𝗥𝗢𝗗𝗨𝗖𝗧 & 𝗣𝗟𝗔𝗧𝗙𝗢𝗥𝗠 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 𝐒𝐜𝐚𝐥𝐞 𝐀𝐈 Built and optimized high-volume AI data pipelines, validation workflows, model evaluation flows, and scalable ML infrastructure. 𝐒𝐞𝐜𝐥𝐞𝐚 Developed Responsible AI backend systems for model monitoring, explainability, compliance reporting, bias detection, AI governance, and enterprise ML workflows. 𝐇𝐢𝐭𝐚𝐜𝐡𝐢 𝐄𝐧𝐞𝐫𝐠𝐲 Built backend services and data-processing infrastructure for enterprise energy systems, telemetry workflows, operational analytics, cloud architecture, and scalable integrations. 𝐃𝐞𝐮𝐭𝐬𝐜𝐡𝐞 𝐁𝐚𝐧𝐤 Contributed to regulated financial systems through backend integrations, secure APIs, workflow automation, controlled data services, and compliance-sensitive architecture. 𝟏𝐍𝐂𝐄 Worked with Python, AWS, Kafka, Airflow, Kubernetes, and high-volume data pipelines for connected-device, IoT, and real-time processing workloads. 𝐃𝐞𝐯𝐞𝐫𝐮𝐬 Built secure workflow, document-processing, integration, role-based access, and backend automation capabilities for operational platforms. 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I start by identifying the delivery risks: data ownership, architecture boundaries, integration failure modes, scaling constraints, security requirements, AI reliability, and operational visibility. Then I build the smallest production-safe foundation that lets the product grow without expensive rewrites. 𝗕𝗲𝘀𝘁 𝗳𝗶𝘁: AI startups, SaaS platforms, RAG systems, AI agents, document AI, backend modernization, Azure/AWS cloud systems, enterprise integrations, data pipelines, CRM automation, operational products, regulated workflows, fintech, healthcare, logistics, energy, and high-volume data applications. Have a complex AI, backend, or data platform problem? Send the context and I’ll identify the highest-risk parts before implementation begins. 𝐁𝐫𝐢𝐧𝐠 𝐢𝐭 𝐭𝐨 𝐦𝐞 - 𝐈’𝐥𝐥 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐬𝐚𝐟𝐞. 𝐋𝐄𝐓'𝐒 𝐓𝐀𝐋𝐊 𝐓𝐇𝐈𝐒 𝐖𝐄𝐄𝐊. 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗧𝗔𝗖𝗞 Python, FastAPI, .NET, C#, Java, Spring Boot, Node.js, TypeScript, React, Next.js, PostgreSQL, SQL Server, MongoDB, Redis, Kafka, RabbitMQ, Airflow, Spark, Docker, Kubernetes, AWS, Azure, GCP, Terraform, OpenAI API, Claude API, LangChain, LangGraph, RAG, Vector Databases, Pinecone, FAISS, MLflow, REST APIs, GraphQL, Webhooks, Microservices, Event-Driven Architecture, Data Engineering, ETL, ELT, MLOps, AI Automation, AI Agents, Cloud Architecture, Enterprise Integrations, CI/CD.

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op