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🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases. I'm a Machine Learning Engineer & AI Python Developer with 10+ years of experience building Machine Learning systems, AI solutions, AI Agents, and production infrastructure for SaaS, fintech, manufacturing, healthcare, and enterprise companies across the US and Europe. ✅ I work with a team of 90+ engineers across Machine Learning, AI, DevOps, and Backend disciplines. Delivering end-to-end Machine Learning solutions from data pipelines and model development to deployment, monitoring, optimization, and scaling in production environments. 🎯 What I bring to your product as a Machine Learning Engineer and AI Agent Developer: ✔️ Over 10 years of commercial experience as a Machine Learning Engineer, AI Developer, Python Developer, and Data Scientist, building scalable products for startups and enterprise organizations. ✔️ As a Machine Learning Engineer, I design and build production-grade Machine Learning systems using Python, delivering measurable business outcomes. My solutions have improved operational efficiency by up to 200% and reduced infrastructure costs by as much as 55%. ✔️ As an AI Agent Developer, I build AI Agent systems using LangGraph, CrewAI, OpenAI, Claude, Gemini, Llama, and Mistral. I develop multi-agent architectures for customer support, internal automation, and enterprise workflows. ✔️ My AI Agent experience includes AI sales agent systems, AI business development automation, AI agents for Etsy marketing workflows, and AI agents supporting Pinterest marketing operations. ✔️ As an AI Developer, I deliver AI copilots, Generative AI applications, and LLM-powered platforms using GPT-4, GPT-5, Claude, and open-source models integrated directly into business processes. ✔️ As a Machine Learning Engineer and Data Scientist, I specialize in NLP, semantic search, recommendation systems, anomaly detection, Named Entity Recognition, sentiment analysis, and intelligent automation. ✔️ As a Python Developer, I build Retrieval-Augmented Generation (RAG) systems using Pinecone, Weaviate, Chroma, and enterprise knowledge bases connected to SQL, PostgreSQL, MongoDB, and CRM platforms. ✔️ As a Machine Learning Engineer specializing in Computer Vision, I develop object detection, segmentation, OCR, and Document AI systems using YOLOv8, Detectron2, OpenCV, Amazon Textract, and Google Document AI. ✔️ As an AWS DevOps Engineer and Cloud Engineer, I design highly available infrastructure using AWS, Kubernetes, Docker, Terraform, Jenkins, Kafka, Prometheus, Grafana, and NGINX. ✔️ As an Azure DevOps Engineer, I deploy Machine Learning workloads using Azure DevOps, Azure Data Factory, Terraform, and cloud-native deployment strategies for enterprise environments. ✔️ I regularly collaborate with Data Scientists, Data Analysts, Web Developers, Product Managers, and engineering teams to transform prototypes into scalable production systems used by thousands of end users. 📊 My Achievements in Numbers: 🔶 Machine Learning Engineer for Enterprise Support Platform ▪️ Reduced support workload equivalent to 3 full-time employees. ▪️ Decreased response times from hours to seconds. ▪️ Improved customer satisfaction metrics by more than 40%. ▪️ Processed millions of support interactions annually. 🔶 AI Agent Developer for Fintech Company ▪️ Built and deployed multiple AI Agent workflows in production. ▪️ Automated more than 80% of repetitive operational tasks. ▪️ Reduced manual processing time by 70%. ▪️ Increased team productivity across multiple departments. 🔶 Machine Learning Engineer for Manufacturing Company ▪️ Reduced defect escape rates to near zero using Computer Vision. ▪️ Eliminated thousands of hours of manual inspection work annually. ▪️ Improved quality control efficiency by more than 150%. 🔶 AWS DevOps Engineer for SaaS Platform ▪️ Increased deployment frequency from 1 deployment per month to 120. ▪️ Reduced deployment times by 85%. ▪️ Lowered infrastructure costs by 55%. ▪️ Improved platform reliability and scalability across cloud environments. Why should you hire me as your Machine Learning Engineer? ▪️ 10+ years of experience in Machine Learning, AI Development, Python, and Data Science. ▪️ 50+ Machine Learning and AI projects successfully delivered. ▪️ 90+ engineers available for large-scale engagements. ▪️ Experience across SaaS, fintech, healthcare, manufacturing, and enterprise industries. ▪️ Expertise in Machine Learning, AI Agents, Computer Vision, NLP, RAG, and Generative AI. ▪️ Strong background in AWS, Azure DevOps, Kubernetes, and Terraform. ▪️ Hands-on experience taking Machine Learning and AI products from concept to production. If you're looking for a Machine Learning Engineer, AI Agent Developer, AI Developer, Python Developer, or Data Scientist who can design, build, deploy, and scale production-ready AI systems.

Senior full stack engineer for FinTech Products · Real-Time Dashboards · Legacy Migrations SENIOR FULL STACK ENGINEER When your trading dashboard lags, your legacy codebase blocks every sprint, or your team ships Excel instead of a real product — that's exactly the problem I've been solving for 12 years. My expertise knowledge domains are Fintech, Energy & Retailing. Transforming complex ideas into seamless, scalable web solutions - powered by React, Next.js, Node.js I've built and shipped production React/Next.js applications for HSBC, UBS, McKinsey, Sainsbury's, and Equinor — environments where slow code costs money and architecture decisions stick for years. ✅ 14+ SPAs and PWA built from scratch in regulated FinTech environments ✅ 5+ legacy migrations delivered (Backbone → React) without stopping product delivery ✅ Excel → Web App: replaced spreadsheet workflows for biggest UK retail company (30-person team, 1 year) ✅ Introduced TDD/BDD culture — from 0% to production-grade test coverage ✅ Real-time trading dashboards for Fixed Income & FX platforms WHO I WORK WITH → FinTech scaleups building trading tools, risk dashboards, or payment platforms who need a senior engineer — not a ticket executor → Enterprise teams with a React codebase that's become painful to ship → Companies replacing a critical Excel workflow with a real web product → Outsourcing vendors (Softserve, GlobalLogic, Luxoft-type) who need a battle-tested senior contractor for FinTech client accounts WHAT I BRING → React architecture that's designed to last, not just to demo → Full-stack ownership: React + Node.js + GraphQL + PostgreSQL + AWS/Azure → CI/CD, Docker, Kubernetes — I don't just hand off code, I ship it → Code reviews, mentoring, and engineering standards that stick → Small agency squad available: FE + Backend + DevOps for full-product builds DOMAINS FinTech · Oil & Energy · Retail · SaaS · Internal Tooling STACK React · TypeScript · Next.js · Node.js · GraphQL/Apollo · Redux PostgreSQL · MongoDB · AWS · Azure · Docker · Jest · Cypress · CI/CD If your biggest challenge right now is speed, architecture, or a migration — send a message. I'll tell you in 20 minutes if I can help. Transforming complex ideas into seamless, scalable web solutions - powered by React, Next.js, Node.js, and a decade of real-world results. Ready to elevate your project to the next level? No fluff, just smooth project delivery🏆 TECHNICAL SKILLS ✅ Frontend: React, Next.js, GraphQL, Redux, TypeScript, HTML5, CSS3, JSS, LESS/SASS , Wordpress Backend: Node.js, Python, Express, REST APIs Databases: PostgreSQL, MongoDB, Redis, SQL Cloud & DevOps: AWS (Lambda, DynamoDB, S3, API Gateway), Azure, Docker, Kubernetes, Jenkins, GitHub Actions Testing: Jest, Cypress, Selenium, react-testing-library, TDD, E2E Tools: Storybook, Lerna, BrowserStack, Vite, Webpack, CI/CD pipelines Full stack developer, JavaScript expert, Web Developer. (React, TypeScript, Node.js, Next.js) React, React Native, React.js, Mobile App Development, Crossplatform apps React Node.js Web Development Software Development GraphQL Web Application API Integration CSS Progressive Web App HTML Cloud Application API API Development MySQL PostgreSQL WordPress Artificial Intelligence Mobile App Development HTML5 Bootstrap Node.js, Full Stack Development, SaaS Development, API Development, FinTech, Retail-Tech, MVP, Payment Integration, CRM Integration, Software Architecture Web App Site SaaS Figma Re-Design Mobile Needed Application Expert Product projects Need Wireframe B2B Mockup Prototype Platform Existing Portal Talented Create Dashboard Required Looking New Develop Modern Conversion Build Finance Content Software Screens Graphic Brand interactive Android Help Homepage Marketplace High-Fidelity Frontend Fashion Medical MVP short longer term Work Research Information Architecture U/X Revamp Supplement Start-Up entertainment Custom Web Platform SaaS Ul Graphics Product Ul Animation Web Application Audit Dashboard Concept Mobile Angular iPad Ul Minimum Viable Product Concept UI/UX UI UX design User Interface Promo Adaptive User Interface platform design Landing Page Responsive Graphics & Ul Website User Experience InVision Axure, REST, REST API, Full-cycle Web, Full stack engineer, REST-API Integration, FinTech, Oil&Energy, Retail, SaaS Responsive Infographics design UX/UI Desktop Sketch Adobe WordPress Technology & IT Entertainment Business & Sales Marketing Advertising B2B B2C Consultancy Science Sport & Wellness Fashion & Beauty Apparel Nonprofit Startup Transport & Logistic Education Arts & Culture Design & Architecture Hospitality & Leisure Manufacturing Food & Drinks Travel Law SaaS DaaS Home Services Banking & Finance Real Estate Luxury Retail Healthcare & Medicine Professional Services Startup Start-up Small & Midsize SAP CRM ERP, API Integration, React Web App, React SPA, React PWA, Next.JS App, Node.js App, TypeScript Web Development, JavaScript Expert

Mobile Flutter Developer with DevOps expertise — building cross-platform iOS & Android apps and owning the full delivery pipeline: AWS, Kubernetes, Ansible, Terraform, CI/CD. 10+ years in software engineering. I deliver production-ready Flutter apps together with the infrastructure that builds, deploys, and runs them. Flutter Development: Flutter & Dart — performance optimization, clean architecture, responsive UI/UX State management — BLoC, Provider, MobX, Riverpod Animations & graphics — custom animations, CustomPainter, Rive/Lottie, shaders Maps & geolocation — Google Maps, Mapbox, real-time tracking Native integrations — platform channels, C++ libraries, real-time audio processing App Store & Google Play deployment, release management DevOps & Cloud Infrastructure: Infrastructure as Code — Terraform, Ansible; Kubernetes orchestration with Helm CI/CD — automated builds, testing, and deployments (GitHub Actions, Jenkins, GitLab CI, Fastlane, Docker), including mobile release pipelines to App Store and Google Play Monitoring & observability — Prometheus, Grafana Cloud platforms — AWS, Google Cloud (GCP), Hetzner; Linux server administration Firebase & Supabase — auth, real-time database, cloud functions, hosting Backend Development: Node.js, Python, Java, Dart backends API design — REST, GraphQL, gRPC, WebSockets Databases — PostgreSQL, MySQL, MongoDB, Redis, SQLite AI & LLM: AI/LLM integrations in production apps — OpenAI, Anthropic (Claude), Gemini APIs AI-assisted development workflow — Claude Code and OpenAI Codex Experience: multiple production apps delivered end-to-end as a solo developer — UI, backend, cloud infrastructure, and deployment automation. Comfortable owning a product fully or working inside an experienced team. I care about code quality, long-term maintainability, and delivering real value — not just completing tasks. If you need someone who understands mobile development, backend, and the infrastructure that connects them into a working product — I'd be glad to help. = = = Career Highlights = = = Oct 2024 – Present — Flutter & DevOps Engineer Building production Flutter apps end-to-end with cloud infrastructure and deployment automation: AI/LLM-powered features, real-time systems, infrastructure as code. Working independently, owning products from UI to deployment. Stack: Flutter/Dart, Python, AWS & Google Cloud, Kubernetes, Terraform, Ansible, Docker, Firebase, Supabase, PostgreSQL, MySQL, Redis, MongoDB Dec 2018 – Oct 2024 — Flutter Developer Six+ years of Flutter in production since its early releases: multiple apps shipped to App Store and Google Play, real-time and data-driven architectures, solo ownership from UI to backend. Stack: Flutter/Dart, Supabase, Google Cloud, Firebase, PostgreSQL, SQLite, Linux 2015 – 2018 — Full-Stack JavaScript Developer Web applications and data visualization for production use. Stack: JavaScript (React, D3), Node.js, Python/Django, MongoDB 2010 – 2013 — Java Developer Enterprise web applications. Earned Oracle Certified Professional, Java Programmer. Stack: Java, GWT, Oracle DB 2006 – 2008 — Web Developer First commercial projects; Linux as a daily driver since then. Stack: PHP, JavaScript, MySQL, Linux = = = Technologies = = = Flutter • Dart • BLoC • Provider • Riverpod • MobX • CustomPainter • Rive • Lottie • Google Maps • Mapbox • Push Notifications • Firebase Cloud Messaging • In-App Purchases • Hive • CI/CD pipeline • GitHub Actions • Jenkins • GitLab CI • Fastlane • Docker • Kubernetes • Helm • Terraform • CloudFormation • Ansible • Prometheus • Grafana • Bash scripting • AWS • EC2 • S3 • EKS • Lambda • Google Cloud • GCP • Firebase • Supabase • Linux • Node.js • Python • Django • PostgreSQL • MySQL • MongoDB • Redis • REST API • GraphQL • gRPC • WebSockets • LLM integration • RAG • AI chatbot • OpenAI API • Anthropic API • Claude API • Gemini API • Claude Code • OpenAI Codex • Stripe • App Store • Google Play

I secure, scale and stabilize AWS infrastructure for SaaS and AI teams | 7+ yrs | I own delivery end to end, minimal management overhead | 12x faster provisioning, 100+ CI/CD pipelines, migrations under 5 min downtime I’m the Founder and DevOps Delivery Lead at EvolutionScale, with 7+ years of hands-on experience across AWS infrastructure, automation and production operations. You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via AWS Terraform, CI/CD, ci cd pipelines, rollback-ready delivery, and practical DevOps Engineer execution using AWS Kubernetes, Microsoft Azure, azure data factory and Google Cloud Platform. What you get from a cloud infrastructure optimization engagement: ✅ 12x faster infrastructure provisioning, reduced from 4 hours to 20 minutes ✅ 5x faster deployments, reduced from 40 minutes to 8 minutes ✅ 100+ automated CI/CD pipelines with quality and security gates ✅ 80% less routine DevOps dependency through reusable self-service templates ✅ Up to 40% lower AWS costs with zero customer-facing production impact ✅ Near-zero mis-releases through automated environment routing and deployment controls ✅ AWS migrations with under 5 minutes of production downtime ✅ Secure, scalable infrastructure with tenant isolation, access controls, monitoring and backups ✅ Better production reliability through observability, health checks, rollback plans and disaster recovery procedures ⚙️ How I work as an AWS DevOps Engineer: 1️⃣ Discovery & Assessment: analyze your current Amazon Web Services, Linux servers, backend, kubernetes, AWS ECS, AWS Lambda, AWS EKS, Amazon EKS, GitLab, GitHub Actions, AWS Terraform, AWS Kubernetes, and deployment pain points 2️⃣ Plan: define clear scope, milestones, risks, and the fastest first win across your infrastructure 3️⃣ Implement: build and automate with AWS DevOps Engineer best practices, DevOps Engineer delivery standards, cloud engineer ownership, and clean documentation 4️⃣ Verify + handover: release runbook, rollback path tested, monitoring validated, and short documentation for your team I mainly work with AWS, but I can also support mixed-cloud teams where Microsoft Azure pipelines, Azure Terraform, Azure Cloud Engineer workflows, Azure infrastructure, Google Cloud Platform, AWS VMware, or migration planning are part of the environment. My expertise covers devops kubernetes integrating AWS Terraform and AWS Kubernetes into multi-cloud setups. Real examples: 🔹 Case: AWS Production-Safe Cost Optimization ⚠️ Problem: Multiple AWS environments across production, staging, pre-production and development were running 24/7, with several oversized resources. 🛠️ Work: Reviewed AWS usage, rightsized resources, added safe Spot Instances, automated start/stop scheduling and improved cost visibility. 🎯 Result: Reduced AWS infrastructure spend by ~40% with zero customer-facing production impact. 🔹 Case: CI/CD for AWS Lambda & Product Engineering Teams ⚠️ Problem: Teams had no standard way to deploy AWS Lambda services. Each service was configured differently and required DevOps involvement. 🛠️ Work: Built 30+ AWS Lambda CI/CD pipelines for Python and Node.js with tests, SonarCloud checks and Orca Security gates. 🎯 Result: Developers could self-provision new Lambda services from a template in under 5 minutes, reducing DevOps dependency by ~80%. 🔹 Case: AWS Multi-Account Infrastructure with Terraform ⚠️ Problem: Product teams needed isolated non-prod, pre-prod and production environments, but provisioning took ~4 hours manually. 🛠️ Work: Built reusable Terraform modules across multiple AWS accounts and standardized environment provisioning with templates. 🎯 Result: Environment provisioning dropped from ~4 hours to ~20 minutes, helping teams ship and test faster. 🔹 Case: Feature-Branch Environments for Next.js / Node.js ⚠️ Problem: Developers shared one staging environment, causing conflicts and slower review cycles. 🛠️ Work: Built GitLab CI + Terraform automation to create isolated AWS Elastic Beanstalk environments per merge request. 🎯 Result: PR-based environments launched in ~10 minutes, removing staging conflicts and improving feedback loops by ~50%. Additional product infrastructure supported: AWS ECS, EKS, Lambda, Terraform, GitHub Actions, GitLab CI, Azure DevOps, Docker, AWS ECR, CloudFront, S3, RDS, Redshift, Dagster Cloud Hybrid Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, AWS backend improvement, backend AWS architecture, or ongoing production ownership. I can support your team as an AWS DevOps Engineer, devops engineer, cloud engineer, aws architect, and senior delivery owner across Amazon Web Services, kubernetes, ci/cd, github actions, gitlab, Git, AWS Terraform, AWS Kubernetes, Azure DevOps, GCP DevOps, and terraform-based infrastructure. ☎️ Message me a short description of your current pain for fast Senior AWS DevOps Engineer support.

🚀 **Back End Developer and Integrations Specialist** I am a highly skilled Senior Back End Developer and DevOps professional. My expertise spans cloud deployments, web development, and data analytics, bringing innovative and scalable solutions to every project. 🌐 **Web Development and AI Integration Expertise:** With over 6 years in IT system analysis and 2 years focusing on web development, my skillset includes: - **Backend Development**: Crafting efficient, scalable backend systems using Python, Django, Fast and RESTful APIs. - **AI and Automation**: Building advanced AI-powered solutions, and integrating AI API to enhance decision-making processes. - **Web Scraping & Data Collection**: Extracting valuable insights with tools like Selenium, BeautifulSoup, and Requests for accurate, real-time data gathering. 🌟 Key Strengths: *Kubernetes and Docker: Expertise in containerization and orchestration, ensuring seamless deployment and management of applications. *Terraform: Skilled in infrastructure as code, automating and optimizing cloud infrastructure with best practices. Cloud Platforms: Extensive experience across AWS, delivering scalable and secure cloud solutions. CI/CD Tools: Proficient in CI/CD pipelines using YAML, GitHub Actions, and GitLab CI for continuous integration and deployment. Monitoring Tools: Familiar with Grafana, and AWS Cloud Watch, ensuring effective monitoring and performance optimization. 🔧 **Tech Stack:** ✔Programming languages: Python, CSS, HTML ✔UI UX Tools: Figma, Framer, WixStudio ✔Blockchain: KYC, Payment Gateway integration ✔Front-end Technologies: HTML5, CSS3, Bootstrap, jQuery ✔Development Frameworks: Django, Flask, FastAPI, RestFull ✔Databases: MSSQL, MySql, RDS, DynamoDB ✔Database Development: DjangoORM, AWS DynamoDB SDK ✔APIs: Facebook API, E-Commerce API, Twilio API, PostMan, PubMed, ClinicalTrials ✔Servers: Windows Azure, AWS, SQL Server ✨ **Why Choose Me:** With a blend of Backend development, Cloud and DevOps expertise, I deliver high-impact solutions that align with business goals. My problem-solving skills, combined with a collaborative mindset and a passion for innovation, set me apart in every project. ✨ Proven Track Record: Successfully delivered numerous projects, meeting and exceeding client expectations. 🎯 Client-Centric Approach: I prioritize understanding your business goals to deliver solutions that align perfectly with your objectives. 💼 Project Management: Proficient in the double triangle methodologies, ensuring projects are delivered on time and within budget, while keeping client satisfaction. 🌐Practical experience in analytics and support give me an advantage over other developers because I troubleshoot issues while keeping deadlines and productivity, putting together data that is relevant for business impact. 🚀 Let’s collaborate and drive your business forward with cutting-edge Cloud, AI, and Web development solutions!

I am an AI Full-Stack Engineer with a strong focus on backend systems and AI/ML-driven architecture, building intelligent applications powered by large language models and modern data pipelines. My work centers on designing scalable AI systems that integrate LLMs, multi-agent workflows, and retrieval-based reasoning into real-world products. I specialize in developing robust backend infrastructures that handle complex AI orchestration, context management, and high-throughput data processing, while maintaining clean and intuitive user interfaces when needed. I have hands-on experience building end-to-end AI platforms, including RAG systems, agent-based automation, and real-time AI services. My approach combines solid software engineering principles with advanced AI techniques such as prompt optimization, model evaluation, and tool-augmented reasoning. I focus on performance, reliability, and production readiness, ensuring AI systems are not just functional but scalable and maintainable. I enjoy working on challenging problems that require bridging backend engineering with intelligent decision-making systems.