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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

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

Building an AI agent or RAG demo is easy. Making it reliable, secure, observable, and financially predictable in production is where most projects fail. I help SaaS and enterprise teams design, build, and rescue production AI systems on AWS. Expert-Vetted Top 1% AI Consultant on Upwork - 100% Job Success - $80K+ earned - 2,700+ hours delivered - 41 Upwork engagements - 9+ years of production engineering experience - Three AWS Professional certifications in Generative AI, Solutions Architecture, and DevOps ✓ CLIENTS USUALLY CONTACT ME WHEN - An AI agent works in a demo but fails with real users, tools, permissions, or business data - A RAG system retrieves the wrong information, produces weak citations, or becomes unreliable at scale - An AI proof of concept needs to become a secure and maintainable production product - Claude, OpenAI, or Amazon Bedrock must be connected to real business workflows - AWS infrastructure has reliability, security, scalability, or cost problems - A development team needs senior technical ownership rather than another task-based developer - An existing implementation needs architecture review, debugging, or production rescue → WHAT I BUILD PRODUCTION AI AGENTS - AI agents and agentic workflows - Claude, OpenAI, and Amazon Bedrock integrations - Tool calling, MCP servers, and external system integrations - Human approval and escalation workflows - Agent memory, state management, and context handling - Evaluations, guardrails, tracing, and failure recovery - Multi-agent orchestration where it is genuinely justified PRODUCTION RAG SYSTEMS - Document ingestion and processing pipelines - Vector search and hybrid retrieval - Metadata filtering, reranking, and access control - Reliable citations and source attribution - Retrieval and response evaluations - Enterprise knowledge assistants - Multi-tenant RAG architecture - OpenSearch and vector database integrations AWS ARCHITECTURE AND PLATFORM ENGINEERING - Serverless and event-driven systems - AWS Lambda, API Gateway, DynamoDB, SQS, EventBridge, and Step Functions - Terraform, AWS CDK, CloudFormation, and infrastructure automation - IAM, tenant isolation, security boundaries, and least-privilege access - Monitoring, observability, incident recovery, and architecture reviews - AWS cost optimization, performance improvement, and cloud migrations ★ SELECTED PRODUCTION EXPERIENCE - Worked on a high-volume ordering platform processing millions of transactions per month with strict uptime, performance, and recovery requirements - Delivered a 686-hour AWS engagement involving Cognito, Lambda, SQS, backend services, and production infrastructure, followed by a five-star client review - Improved production systems across SaaS, healthcare, fintech, cybersecurity, and streaming - Owned delivery across architecture, critical implementation, deployment, security, observability, and engineering handoff I work hands-on across Python, Node.js, TypeScript, APIs, distributed systems, cloud infrastructure, and modern AI frameworks such as LangGraph and LangChain. → HOW I WORK I do not begin by selecting an AI framework. I begin with: - The business workflow - The users and permission boundaries - The available data - The expected result - The failure modes - The security requirements - The operating cost - The team's ability to maintain the system From there, I design the smallest architecture that can safely achieve the required outcome. I will also tell you when: - An AI agent should be a deterministic workflow - RAG is unnecessary for the use case - A managed service is creating avoidable cost or lock-in - The proposed architecture is too complex - A feature is likely to waste more money than it creates in value - A prototype is not yet ready for production use Avoiding the wrong architecture often saves more time and money than writing additional code later. You can expect clear communication, visible progress, documented decisions, honest risk analysis, and production-focused validation. I stay involved through production readiness and engineering handoff, not only prototype delivery. I am a strong fit when AI must interact with real users, business data, external tools, and production infrastructure. Send me your architecture, requirements, repository context, or production problem. I will review the context, identify the highest-risk area, and recommend the most practical starting point.

I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do

Experienced Solution Architect with Expertise in AWS, Django, Flask, ReactJS, and Complex App Development 𝐊𝐞𝐲 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡: Building Long-term Partnerships & Delivering High-impact Solutions 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐭𝐲: Complex App Development, API Integration & Cloud Architecture With over 𝟐𝟎+ 𝐲𝐞𝐚𝐫𝐬 of experience as a seasoned IT professional and entrepreneur, I specialize in providing cutting-edge web development and cloud-based solutions. I have held roles ranging from application programmer and automation engineer to Scrum Master, technical mentor, and subject matter expert. I bring a wealth of expertise in various domains, including 𝗟𝗼𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗮𝗻𝗱 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗲𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻. I have partnered with startups and established enterprises like Loggly, Alert Logic, McAfee, BlackStratus, and Hoffman Patent Firm, among others. In my current role, I focus on creating strategic outsourcing partnerships that help clients accelerate time to market, cut operational costs, and concentrate on their core competencies. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ▄ 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 & 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: 20+ years of hands-on experience leading complex software development projects. ▄ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 (𝗔𝗪𝗦): Proficient in EC2, SQS, DynamoDB, SNS, RDS, CloudTrail, SES, EBS, Load Balancers, and CI/CD deployment pipelines using Docker, Jenkins, and GitLab. ▄ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Expertise in Django, Flask, and Node.js, including the Django Rest Framework. ▄ 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: Experience with AWS Lambda, API Gateway, and Node.js. ▄ 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Skilled in GCP, Kubernetes, Docker Compose, production deployment, and Python/Perl-based automation. ▄ 𝗦𝗜𝗘𝗠 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Specialized in developing and integrating SIEM products and vulnerability scanners. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: ► 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, C++, C#, Java, Perl ► 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Django, Flask, Django REST, Magento, ReactJS, VueJS, Zend ► 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: MS SQL, MySQL, PostgreSQL, MongoDB, Oracle ► 𝐂𝐈/𝐂𝐃 𝐓𝐨𝐨𝐥𝐬: Docker, Jenkins, GitLab CI, Github Actions, AWS Code Pipeline ► 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, S3, RDS, CloudFront, CloudTrail), GCP ► 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Git, Jira, Confluence, VersionOne, MS Project, XMind ► 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: NUnit, Selenium, Cypress

Your product idea deserves more than a freelancer. I lead an AI-first full-stack team of developers and designers who turn business ideas into production-ready SaaS platforms and B2B applications — on time, on budget, every time. We use AI-powered development tools to accelerate delivery and maintain code quality at every stage — so you get faster turnaround without cutting corners. 192 completed projects. Clients include HIPAA-compliant healthcare platforms, B2B e-commerce systems, enterprise web applications, and custom SaaS tools built for thousands of concurrent users. "Working with this team has been an outstanding experience from start to finish." — verified Upwork client, 2026 "Outstanding Full-Service Project Delivery. I am extremely satisfied with the work — they exceeded all expectations and delivered everything." — verified Upwork client, 2025 And much more reviews since 2013 when I statrted here - currently 141 review and the average 4.9 stars. Beyond Upwork, our team holds a 4.9★ on Clutch and 5.0★ on Google — consistency clients can verify independently --- WHO WE WORK WITH We're the right fit if you are: — A SaaS founder moving from idea or prototype to a production-ready product — A B2B company that needs a custom platform, internal tool, or client portal — An e-commerce brand outgrowing your current setup (Shopify Plus, headless, custom) — A startup or scaleup that needs a reliable technical partner, not just a developer — A company that needs HIPAA-ready, GDPR-compliant, or NDA-protected development (MSA available on request) --- WHAT WE DELIVER Full-cycle AI-First product development: architecture, UI/UX, backend, infrastructure — handled by our in-house team, not a chain of subcontractors. Built to handle growth from day one. SaaS Development Full-cycle product development: architecture, UI/UX, backend, infrastructure. Built to handle growth from day one — no expensive rewrites later. Stack: React, Next.js, Node.js, NestJS, PostgreSQL, AWS. AI Integration We integrate OpenAI, Google Vertex AI, and custom ML pipelines into your product — chatbots, smart search, recommendation engines, process automation. AI as a real business feature, not a demo. B2B Web Platforms Marketplaces, client portals, CRMs, LMS, internal tools — systems that connect your users, data, and business processes in one place. E-Commerce (Shopify / WooCommerce / Headless) Custom storefronts, Shopify Apps, WooCommerce platforms, headless commerce with Hydrogen or Strapi. Focused on conversion, performance, and ease of management. --- HOW WE WORK Every project follows a structured process: 1. Requirements gathering and business analysis 2. Proposal with timeline and budget estimate 3. Design (Figma) + Development with QA at each phase 4. Launch + post-launch support 5. Next phases — we build for the long term You get clear communication, weekly updates, and a team that treats your product like it's their own. --- TEAM Senior full-stack developers · UI/UX designers · DevOps/AWS engineers Tools: Figma · React · Next.js · Node.js · NestJS · PostgreSQL · AWS · Shopify · WordPress · OpenAI API --- Ready to discuss your project? Message us — scoping call and intro estimate are free. Updated: July 7, 2026