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I help founders and businesses turn MVPs, AI-assisted applications, and SaaS products into secure, scalable, production-ready systems. I have experience across full-stack development, cloud architecture, DevOps, infrastructure, API integration, and production operations. My focus is not just writing code but making applications reliable enough for real users: clean deployment, secure configuration, database setup, monitoring, backups, CI/CD and long-term maintainability. I can help with: - SaaS and AI application production deployment - AWS, Azure, Google Cloud, and DigitalOcean infrastructure - Kubernetes, Docker, and containerized deployments - GitHub Actions, GitLab CI/CD, and automated release workflows - Supabase, PostgreSQL, MySQL, and database administration - API integrations, OAuth, webhooks, and token handling - Cloudflare, DNS, SSL, domains, and edge protection - Backups, logging, monitoring, and production hardening - Architecture review, refactoring, scalability, and cost optimisation My approach is practical and production-focused: understand the current system, identify the real risks, simplify where needed and build a cloud setup that is secure, maintainable and cost-effective. I am a good fit if you have a working MVP or SaaS application and need an experienced cloud/full-stack engineer to make it production-ready and scalable.

23+ years in Linux/Windows administration, DevOps, and cloud infrastructure. I build, secure, and scale production systems 24/7 — for MSP clients and direct engagements across industries. If your server is down, your deployment is failing, or you need infrastructure built right the first time — I'm the engineer you call. ━━ SERVER & SYSTEMS ━━ Linux (CentOS, Debian, Ubuntu, Amazon Linux, Rocky Linux) and Windows Server (2012–2025). Active Directory, Group Policy, Intune, hybrid identity. Nginx, Apache, Sendmail, Qmail, Postfix, Exim — MTA setup, Dovecot, SpamAssassin, OpenDKIM, SPF/DKIM/DMARC. Veeam, Acronis, cloud-native DR. Hypervisors: KVM, VMware ESXi, Hyper-V, Proxmox VE — HA clusters, live migration, Ceph/ZFS, Proxmox Backup Server. Redis, Varnish. QNAP NAS — storage management, Plex Media Server deployment, VPN tunnel integration. WHM/cPanel, Plesk, Virtualmin, CloudPanel, CyberPanel. ━━ CLOUD INFRASTRUCTURE ━━ AWS: EC2, ECS, EKS, RDS, S3, Route 53, IAM, VPC, CloudWatch, Lambda, API Gateway, Elastic Disaster Recovery. GCP: Cloud Run, Cloud Build, Firestore, GKE, IAM, VPC, Pub/Sub, Cloud Storage, Secret Manager, Cloud Monitoring. Cloudflare (WAF, Workers, Zero Trust, CDN). DigitalOcean, Hetzner, Vultr. MinIO: S3-compatible object storage on bare metal, VMs, Kubernetes — distributed mode, SSE-S3/KMS, lifecycle policies, drop-in S3 for backups and MLOps. Railway: Full-stack PaaS — GitHub/Docker auto-build, managed DBs (PostgreSQL, MySQL, Redis), private networking, env variables, cron workers, auto-scaling. ━━ SECRETS MANAGEMENT ━━ HashiCorp Vault: Dynamic secrets for AWS IAM, databases, cloud providers — TTL-bound credentials, auto-revoke. PKI for internal CA and on-demand TLS. Vault Secrets Operator for Kubernetes (etcd-free pod injection). Raft HA, RBAC, audit logging, Shamir unseal. Transit engine for encryption-as-a-service. CI/CD integration to eliminate hardcoded credentials. ━━ DEVOPS & CI/CD ━━ Docker, Kubernetes (EKS + self-managed: kubeadm, k3s, RKE2), Helm, Kamal. GitHub Actions, GitLab CI, Bitbucket Pipelines. Terraform, Ansible. ArgoCD, Flux (GitOps). Prometheus, Grafana, Datadog. Traefik: Cloud-native ingress — auto TLS, Docker/K8s service discovery, ForwardAuth, rate limiting, canary routing. Caddy: Zero-config-TLS reverse proxy — automatic HTTPS, on-demand certs. Preferred for self-hosted stacks. ━━ NETWORKING & SECURITY ━━ WireGuard, OpenVPN (MFA/ZTNA), IPSec/Libreswan, Xray/REALITY. Tailscale/Headscale — self-hosted mesh VPN, VPS tunnel setup, ACL policies, subnet routing. MikroTik, Juniper, SonicWall, Fortinet (FortiGate, FortiManager, FortiAnalyzer). pfSense, OPNsense. BGP, OSPF. Auth0, OAuth2, OIDC, Duo Security. LDAP/RADIUS, 802.1x, NPS/AD CS/Intune. ━━ DEVELOPMENT & AUTOMATION ━━ Python: FastAPI, Flask, Django, RESTful APIs, OpenAI API, ETL pipelines (Airbyte), orchestration (Airflow, n8n), data processing (pandas), Retool internal tools. Clean, documented, production-ready code. ━━ CONTAINERIZATION & DEPLOYMENT ━━ Docker Compose, Kubernetes manifests, Helm. Portainer, Coolify, Elestio, Traefik, Caddy. MinIO (K8s Operator/Tenant). Nextcloud, n8n, self-hosted app deployment. Vercel, Railway, Netlify, Replit. ━━ MSP & VOIP ━━ Duo Security, SpamTitan, ScreenConnect, ESET, Acronis. M365 multi-tenant administration. Asterisk and Vicidial (AWS + on-prem) — SIP trunks, IVR, call center setup, NetSIP integration. ━━ LEGACY & EARLY CAREER ━━ Foundational background in Windows desktop application development (VB, C#, Access) and web development (Core PHP, Laravel). ━━ WHAT CLIENTS HIRE ME FOR ━━ ► Emergency triage: servers down, services failing, breaches in progress ► Greenfield AWS/cloud environments built to security and compliance best practices ► CI/CD pipelines rebuilt to work reliably — no more failed deployments at 2am ► Self-hosted stacks that cut cloud bills without cutting uptime ► Kubernetes from scratch: EKS, k3s, RKE2 — setup, Helm, GitOps, day-2 operations ► HashiCorp Vault rollouts — eliminate hardcoded credentials across all pipelines ► Proxmox VE clusters: HA, live migration, Ceph storage, Proxmox Backup Server ► Network redesigns: Zero Trust, WireGuard mesh, BGP multi-homed, FortiGate, pfSense ► Ongoing managed infrastructure support and 24/7 incident response ► GCP solution design & delivery — Cloud Run, microservices, IAM, developer onboarding/offboarding ► Infrastructure, Security & Application Audits — server, network, database, cloud, and web stack ━━ INDUSTRIES SERVED ━━ SaaS · Fintech · Healthcare · E-commerce · Legal · Real Estate · Media · Education · Government · Telecoms · Startups · Enterprise. Single-server MVPs to multi-region, multi-account production environments. ━━ COMMUNICATION & PROCESS ━━ I don't disappear after the kickoff call. Clear updates at every stage, thorough documentation, and a proper handover on every engagement. Timezone-flexible. Slack, Teams, WhatsApp, Zoom, or Webex. If the work matters, it gets done right.

Experienced Platform and DevOps Engineer with over 15 years of progressive expertise in Linux system administration, infrastructure automation, and cloud-native technologies. Proven track record working with startups and enterprise clients across Europe and Asia, with hands-on experience in Kubernetes, Terraform, Ansible, Python scripting, CI/CD pipelines, and security hardening. I’ve led platform engineering efforts in fast-paced environments, delivering scalable, secure, and reliable infrastructure for production systems. My roles have spanned from System/Network Administrator to Senior Platform Engineer, giving me a full-stack view of system reliability, performance, and automation at scale. I specialize in: Infrastructure as Code (Terraform, Ansible) Kubernetes (GKE, EKS, on-prem clusters) and Hold a active certification KCNA, KCSA, CKA, CKAD and CKS. CI/CD setup (Jenkins, GitLab CI, GitHub Actions) Monitoring/Logging (Prometheus, Grafana, ELK) Cloud Platforms (AWS, GCP, Azure) Security best practices and DevSecOps Bash & Python scripting Let’s work together if you need a reliable, security-minded engineer who can deliver production-grade infrastructure and help scale your DevOps maturity.

I help startups and growing teams deploy faster, safer, and more reliably using modern DevOps and DevSecOps practices. I’ve worked on 60+ projects building scalable infrastructure, automating deployments, and integrating security directly into CI/CD pipelines. 🔧 What I can do for you: Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) Design and manage AWS infrastructure (EC2, VPC, IAM, CloudFormation) Containerize and deploy apps using Docker & Kubernetes Implement Infrastructure as Code (Terraform, Ansible) Integrate DevSecOps pipelines (Snyk, Bandit, Bearer, DefectDojo) Improve system reliability with monitoring (Prometheus, Grafana) 🔐 DevSecOps focus: I don’t just deploy — I help you ship securely by: Adding automated security scans in CI/CD Managing vulnerabilities with centralized tools Following best practices for cloud security and access control 💡 Why clients work with me: Clear communication (no DevOps jargon confusion) Fast and reliable delivery Practical solutions not over-engineered setups

After five years working as a DevOps Engineer, and now freshly armed with a Master's in Cybersecurity, I can finally say my paranoia has some qualifications to back it up. I have become fluent in YAML, emotionally dependent on caffeine, and professionally obsessed with automating myself out of a job. I specialize in herding containers with Kubernetes, battling entropy with Terraform, and convincing clouds (AWS, GCP, Azure, and the rest of the squad) to do my bidding. I write a lot of Python scripts, mostly so Python knows I still care. I keep Linux machines running smooth, and I scan containers like I am that person at the airport who takes their job way too seriously. Some days I am staring at more dashboards than a Formula 1 pit crew. Other days I am explaining SSL handshakes to people who definitely did not ask for that explanation. And yeah, I once wasted three hours of my life because of a missing semicolon. We don't talk about that. I am here to solve real world problems, shift security left, and keep the servers up long enough to enjoy my coffee while it's still hot.

I'm a Senior Big Data and AI Engineer who builds production data platforms at petabyte scale and agentic AI systems that operate autonomously in production. Over the past nine years, I've worked across AWS, GCP, and Azure, delivering 50% faster pipelines, 40% cost reductions, and measurable automation of analytics workflows through LangGraph, Google ADK, and Databricks. On Upwork that translates into 21 completed contracts with near-perfect 5-star ratings and repeat enterprise clients — from quick, high-stakes database fixes to 100+ hour platform engagements. I take full ownership: architecture, cloud infrastructure, and delivery. WHAT CLIENTS HIRE ME FOR • Databases & DBA (deep specialty) — PostgreSQL, Citus, TimescaleDB, ClickHouse, and Trino: cluster design, replication and high availability, performance tuning, and migrations with zero data loss (RDS-to-Citus, 500GB+ PostgreSQL, ClickHouse shard/replication design). This is where my reviews are densest: - "His knowledge of ClickHouse Cluster is truly exceptional. He designed it exactly as needed." - "A game-changer — his analysis identified cost-saving opportunities and improved our solution architecture." (AWS database review) - "Super helpful even though it was new technology that's hard to find talent for." (pgvector on RDS Postgres) - "Did a fantastic job improving the database speed and migration." (500GB PostgreSQL migration) • Big-Data Platforms & Pipelines — Apache Spark, Trino, Apache Iceberg/Delta Lake, and Airflow + dbt on Kubernetes. I design petabyte-scale batch and streaming pipelines with the governance, lineage, observability, and SLOs production demands — typically 50% faster processing, 40% lower cost, and 99.9% uptime. • Production GenAI & Autonomous Agents — agentic systems on Google-ADK, LangChain, LangGraph, CrewAI, and MCP, plus RAG pipelines on Milvus, pgvector, and Pinecone. I ship them with real tracing and observability (LangFuse, Opik, MLflow) and guardrails — systems that run reliably, not demos. RECENT WORK • ClickHomes AI — a live real-estate analytics and lead-generation platform I architected end to end: a dual database (ClickHouse OLAP + PostgreSQL OLTP), a RESO-compliant ETL pipeline ingesting 9,500+ MLS listings with schema validation and lineage, a LangGraph ReAct AI search agent with streaming responses, multi-factor lead scoring, and Celery-powered email drip campaigns — deployed on Docker/Nginx and live in production. • TARA @ UXCam — an autonomous multi-agent analytics platform (Google-ADK + MCP) across 500+ mobile apps that cut analytics delivery time by 60% and manual effort by 75%, with RAG over 1M+ videos a month and full agent observability, governing 10TB+ of data per day on Databricks + Unity Catalog. HOW I WORK I design the architecture, stand up the cloud infrastructure, and deliver production-ready code — then make it observable, reliable, and cost-efficient. I communicate clearly and proactively across time zones, and I'm direct about trade-offs and timelines. TECH STACK Databases: PostgreSQL, Citus, TimescaleDB, ClickHouse, MySQL, MongoDB, Redis. Data: Apache Spark, Trino, Apache Iceberg, Delta Lake, Airflow, dbt, Kafka, Kinesis. AI/GenAI: Google-ADK, LangChain, LangGraph, CrewAI, AutoGen, MCP, RAG, Milvus, pgvector, Pinecone, Weaviate, MLflow, LangFuse, Opik. Cloud & DevOps: AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, Prometheus, Grafana. Languages: Python, SQL, FastAPI, Next.js. Education: B.Tech in Computer Science. If you're building or scaling a data platform, fixing a database bottleneck, or putting an AI agent into production, send me a short brief — I'll reply with a concrete plan, a timeline, and the trade-offs that matter.