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I am a senior database, data architecture, and BI consultant with 42 years of experience designing business systems, databases, data warehouses, integrations, and analytics solutions across industries such as retail, SaaS, healthcare, asset management, banking, manufacturing, services, e-commerce, and finance. My strongest value is connecting business needs with reliable technical architecture. I help clients move from scattered data, fragile reports, and manual processes to analytical environments that are fast, reliable, maintainable, and ready for BI or AI. Core strengths • Database architecture, SQL, performance tuning, and data modeling • Data warehouse design, ETL/ELT, and automated data pipelines • Power BI dashboards, semantic models, DAX, and Power Query • BigQuery, SQL Server, SingleStore, PostgreSQL, MySQL, Oracle, and Microsoft Fabric • Python, APIs, Google Cloud, AWS, Azure, and cloud-based data workflows • KPI definition, metric validation, executive reporting, and AI-ready data layers Unlike many dashboard-focused consultants, I come from a deep database and systems background. I design the structure behind the report: schemas, relationships, ETL routines, indexing strategy, validation rules, semantic models, and performance optimization. This helps clients avoid fragile dashboards built on messy data and instead create a solid data foundation for reporting, analytics, and AI. AI-ready data architecture Many companies try to connect AI directly to raw databases, but that often creates slow, expensive, and unreliable answers. My approach is different: I build governed analytical layers where definitions, relationships, KPIs, and business rules are explicit. This improves trust, reduces cost, increases performance, and allows AI to work with business-approved metrics rather than guessing from raw tables. Recent project examples - Database Performance / DBA Leadership I am responsible as DBA and Database Lead for a massive infrastructure using SingleStore and SQL Server, working at billion-record scale with the responsibility to deliver query results in less than 1 second. This involves database design, indexing strategy, stored procedures, and continuous optimization of high-volume workloads. - AI-Connected Semantic Model with Power BI and Claude I designed a cloud-based analytical solution using Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, BigQuery, and Power BI semantic models, enabling Claude to connect to governed business data. The solution included specialized skills to query the semantic model, respect business rules, and provide accurate answers with high performance and data reliability. - AI Data Enrichment on Google Cloud I designed and implemented a serverless AI enrichment pipeline using Google Cloud Run, Cloud Tasks, Cloud Scheduler, Python, and BigQuery. The client needed to enrich millions of company records using GROK AI within a tight processing window while controlling BigQuery costs. The result was millions of enrichment tasks completed within SLA, stable throughput, structured validation, and more than 90% reduction in BigQuery costs. - IoT Data Aggregation with BigQuery I built a Google Cloud solution to collect high-frequency sensor data from thousands of sensors through an API every three minutes. The architecture used Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, and BigQuery, creating an automated and scalable data warehouse process running for months without manual intervention. - SaaS Product Analytics For a SaaS company, I transformed complex Firebase / Firestore JSON data into structured analytical tables in BigQuery. I created the ETL routines, designed the analytical foundation, and delivered Power BI dashboards for product usage, engagement, trial behavior, feature adoption, and conversion analysis. - Retail Operations Reporting I built an automated reporting system for a large restaurant chain, processing POS data with Python ETL, cloud automation, AWS infrastructure, and Power BI applications. The system delivered daily KPI reporting for sales, revenue, labor, service times, customer behavior, and operational performance. - Asset Management Analytics I developed a portfolio monitoring solution using Python ETL, Reorg API, AWS, database design, and Power BI. The solution tracked liquidity, EBITDA, leverage, and other investment KPIs, giving the client daily updated information for portfolio analysis and decision-making.

Full Stack Developer & BI Specialist | 5+ Years Building Data-Driven Solutions I transform complex business challenges into scalable technical solutions, specializing in inventory management systems, ETL pipelines, and business intelligence dashboards. Recent Impact: - Built end-to-end inventory management system for CANNPRISMA using React, Node.js, Python, and SQL Server - Designed ETL pipelines processing 1M+ records with Power BI dashboards driving business decisions - Migrated banking infrastructure from GCP to AWS, improving system reliability Core Expertise: Full-Stack Development | ETL & Data Engineering | BI Reporting | Cloud Architecture (AWS/GCP) | ERP Integration Tech Stack: JavaScript, TypeScript, React, NextJS, Node.js, Python, SQL Server, Power BI, Docker, AWS

I’m a versatile freelancer with a proactive mindset and a genuine drive to help businesses and entrepreneurs in multiple areas — from administrative tasks to digital support. I work with great attention to detail, clear communication, and a strong focus on results. Whether you need help organizing your workload, managing data, handling customer support, or assisting with everyday business tasks, I’m ready to make your work easier and more efficient. If you’re looking for someone reliable, responsible, and professional — let’s work together and get things done!

Hey! I'm Mike, top 1% AI developer and machine learning engineer. In short, you’ve found your best AI partner, I helped more than 200 companies in fintech, healthcare, real estate and e-commerce to scale faster without scaling headcount. Want to start small? Book a consultation to see how I can turn your missed opportunities into revenue. Working with me means you’ll go away with revenue ready and production grade AI systems for SaaS, healthcare, real estate and fintech businesses. What I build: ✅ AI Agents & AI Chatbots – Python-based chatbot development with conversational AI that connects to your CRMs, APIs, and internal tools. Real automation, not just chat interfaces. MCP integration. Whether you need a sales agent, support bot, or an AI agent handling complex multi-step workflows — I build systems that actually work. ✅ AI Voice Bots – Phone agents for restaurants, hospitality, and service businesses. 24/7 availability with reservation and support capabilities. ✅ LLM RAG Systems – Machine learning-powered document search for contracts, knowledge bases, and internal data. Built on retrieval-augmented generation (RAG) for accurate, grounded answers from your own data. ✅ AI Co-pilots – Internal tools for finance, operations, and customer support teams. Think GPT-4-powered assistants with prompt tuning tailored to your workflows. ✅ SaaS AI Products & MVPs – Full stack AI developer expertise from architecture to first paying users. Complete web developer capabilities for end-to-end AI applications. I handle everything from full stack app architecture and REST API design to frontend builds in React and Next.js — so you get a complete product, not just a backend. ✅ Machine Learning Solutions – Time series forecasting, recommendation engines, fraud detection, and data science implementations. Recent case studies: - AI Healthcare Recommendation Engine – Python-based machine learning system helping UK patients search, compare, and book medical services by price, location, and availability. - AI CFO for Small Businesses – AI chatbot that connects to financial tools, surfaces insights, and runs business scenarios automatically. A great example of what a skilled AI developer can deliver for finance teams. - AI Travel Concierge – Multi-step AI agent handling flight/hotel search with business logic and booking-ready outputs. Built by an experienced chatbot developer with deep knowledge of conversational AI flows. - Restaurant AI Voice Bot – 24/7 phone AI agent built with Python that handles reservations via API, reducing missed calls. - AI Document Analysis (Legal/Mortgage) – Machine learning pipeline that reads complex documents, extracts data, and flags issues for compliance. Tech Stack: ✅ AI & Machine Learning OpenAI (GPT-4/4o/o1/o3), Claude, Gemini, LangChain, LlamaIndex, LangGraph, RAG, LLM RAG, MCP, vector databases ✅ Python Development Python, FastAPI, scikit-learn, pandas, NumPy, PyTorch/TensorFlow for machine learning. I write clean, well-structured Python code that's easy to maintain and scale — not the kind of spaghetti scripts you inherit from someone's side project. From Python scripting and automation to building full Python backends with async support and proper error handling, this is where most of my work lives. ✅ Chatbot Development & Voice AI Conversational AI, AI agents, chatbot developer tools, prompt tuning, Twilio, VAPI, Ultravox, WhatsApp, Telegram, web chat widgets ✅ Full Stack & Web Development Python backend, Node.js, React, Next.js, REST APIs, Stripe integration. I'm comfortable owning the full stack — database schema, backend logic, API layer, and a clean frontend. Whether it's a full stack web app from scratch or plugging AI into an existing product, I can take it from Figma to deployed. That includes full stack integrations with third-party tools, auth flows, dashboards, and anything else that makes a product actually shippable. ✅ Data Science & ML Time series analysis, recommendation systems, fraud detection, analytics dashboards (Streamlit, Dash) ✅ DevOps & Cloud Docker, AWS, GCP, CI/CD pipelines for AI products ✅ Security & Compliance GDPR-friendly architectures, PII handling, on-prem/VPC deployments for enterprise Not sure where to start? Book a consultation and let's turn your AI idea into reality! 100% job success. See client reviews!

I build complete products end to end, solo: PostgreSQL schema, typed API (tRPC), React or React Native frontend, AWS infrastructure as code, keyless CI/CD, custom domain, and TLS. 6+ live products run on a serverless platform I designed and reuse, and my recurring infra bill trends toward $0 by deliberate cost engineering: a documented S3-outbox relay pattern that replaces NAT gateways, free-tier tuning, and Durable Object hibernation. I am also an AI/LLM engineer in the strong sense: multimodal apps (vision + voice + RAG with pgvector), multi-provider orchestration (Anthropic, OpenAI, Gemini), LangGraph agents, LLM-as-judge evals, and an open-source agent framework I built on the Claude Agent SDK + Model Context Protocol: 20 agents, 47 skills, and 10 MCP tools that autonomously design, implement, and verify code behind human gates. Don’t trust the portfolio. Test me. Two ways: 1. AI briefing pack. Ask me for it, paste it into your own ChatGPT or Claude, and let YOUR AI evaluate my credentials. It is distilled from an automated audit of 26 of my real repositories and includes what I am still improving, because an honest document is more useful to you than a polished one. 2. Prompt challenge, free, one round. Send me a realistic prompt from your project: feature spec, bug report, or architecture question. I return the output of my AI-assisted workflow plus my human review: what I kept, what I corrected, and why. You judge the result and the judgment. Stack keywords: TypeScript, React 18/19, Next.js, Expo/React Native, tRPC, Drizzle, PostgreSQL, Supabase, AWS (Lambda, SAM, API Gateway, RDS, DynamoDB, CloudFront, Cognito), Cloudflare (Workers, Durable Objects, Pages), GitHub Actions OIDC, Clerk, LangGraph, Claude Agent SDK, MCP, RAG, Godot 4, n8n, Make, Zapier. Portfolio item blurbs Xenodot Forge (open source, MIT) = AI game-dev framework on the Claude Agent SDK + MCP: a human-gated design → implement → verify agent pipeline (20 agents / 47 skills / 10 MCP tools, ~14.7k LOC) driven from a WebSocket UI, with a verification-first quality gate (headless engine checks, zero-warning lint, CI-enforced validators). Used it to build a playable cross-platform 3D FPS in Godot 4.6. Available on my GitHub. Probius.app (live EdTech) = Study platform for the Brazilian OAB bar exam. React + Vite SPA on S3/CloudFront, Lambda + tRPC + Drizzle + PostgreSQL, NAT-less VPC posture with all outbound AI/email traffic via an S3-outbox relay, deployed exclusively through keyless GitHub Actions OIDC. Multimodal AI mobile app (~28k LOC) (3itch ai) = Fashion-critic app: Expo client, tRPC-on-Lambda backend, Cloudflare Durable Objects realtime engine. Vision (Gemini), persona brain (GPT-4o), voice in/out (Whisper + TTS), wardrobe RAG (pgvector), per-user AI spend caps, offline RS256 JWT verification on both backends, and gitleaks in CI. Production e-commerce (~31k LOC) = Luxury-furniture platform: Next.js 16 SSG storefront, React admin SPA, serverless API, and one PostgreSQL backend. Infra cost cut to ~$0 with the S3-outbox relay pattern, plus a single-query JSONB product search function that eliminates N+1 fetches. Multi-tenant PMS + OTA sync = Vacation-rental management system with Channex integration to Airbnb and Booking: idempotent booking sync, SQS worker queue, EventBridge polling, and a 12-scenario automated certification suite. Prompt Challenge I will run your prompt through my AI engineering workflow and hand you the reviewed output. Description: Send me one realistic prompt from your project: a feature spec, bug report, refactor, or architecture question. I run it through my AI-assisted workflow, using the same agent tooling I open-sourced, and deliver: (1) the raw output, (2) my line-by-line human review marking what I kept, what I corrected, and why, and (3) a short note on how I would productionize it. This shows you what you are actually hiring in 2026: not “can he prompt an AI,” but “can he judge, correct, and ship what the AI produces.” First round free on invite.

I'm Penetration Tester & Cybersecurity Consultant with 8 Years of Experience. I have been recognized as a Top Rated Plus freelancer on this platform🥇Take a look at my full profile to discover how I've helped clients secure their products and meet compliance goals. If you're looking to identify vulnerabilities before attackers do, strengthen your security posture, or meet compliance requirements, you're in the right place. Here's how I help businesses stay secure: 🛡️ Penetration Testing. End-to-end security testing for Web applications, APIs, Mobile apps, and Infrastructure. You'll receive a comprehensive report with not just a list of findings, but clear remediation guidance your team can actually use. 🛡️ Cloud Security & Compliance Readiness. I review and harden your cloud infrastructure to help you confidently meet industry standards including ISO 27001, SOC 2, PCI DSS, HIPAA, and more, without the guesswork. 🛡️ Microsoft 365 / Google Workspace Security. A holistic assessment and hardening of your Microsoft 365 or Google Workspace environment, covering identity, access controls, email security, and data sharing settings, so your team can collaborate confidently without exposing common misconfigurations that put your data at risk.