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I help businesses build fast, reliable APIs and automate infrastructure so deployments are smooth and systems scale without downtime. With experience in Go, Python, and Linux server management, I can set up everything for you. Core Services - Backend Development: Fast & reliable APIs (Go, Python, FastAPI, ASP.NET, Typescript). - DevOps & Automation: Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code. - Web Scraping & Automation: Playwright, Puppeteer, Python, Go. - Cloud & Servers: AWS, Linux Provisioning, PostgreSQL, Redis, Cloudflare. - Monitoring & Reliability: Prometheus, Grafana, Loki, OpenTelemetry.

Hello! I'm a Senior Software Engineer with 6+ years of experience building scalable and maintainable systems. I specialize in Back-End development, focusing on FastAPI, PostgreSQL, and microservice architecture with event-driven and asynchronous design patterns. Frameworks & Technologies: - Back-End: FastAPI, Flask, Django, NodeJS, ExpressJS - Front-End: ReactJS, VueJS - Databases: PostgreSQL, MongoDB, Redis - Tools: Docker, Linux, Git (GitHub/GitLab) Services I Offer: - Back-End Development - Deployment & Hosting (VPS, CI/CD) - Consulting & Mentoring Looking forward to working with you!

I help startups and SaaS teams run their applications reliably on AWS by taking full ownership of the cloud, deployment, and operational layer. Instead of hiring multiple specialists, you get one engineer responsible for making your system stable, scalable, secure, and cost-efficient in production. I design, build, deploy, and maintain AWS environments so your developers can focus on product features while the infrastructure runs smoothly. ═══════ What I can handle end-to-end ═══════ ➤ AWS infrastructure setup (VPC, networking, IAM, security, databases, compute) ➤ Scalable deployments using EC2, ECS, or serverless services ➤ CI/CD pipelines and automated release workflows ➤ Monitoring, logging, alerting, and incident stability ➤ Cost optimization and resource efficiency ➤ Backups, security hardening, and reliability best practices ➤ Targeted backend or automation fixes that require system-level understanding This covers the entire AWS and operations layer of a production system.

I am a senior full stack and AI systems engineer with more than six years of experience building enterprise grade SaaS platforms and data driven applications. My focus is on designing backend architectures that handle complex workflows while delivering clean and intuitive user interfaces. One of my key projects was a B2B compliance management SaaS platform used by mid sized financial firms. The system allowed organizations to manage regulatory documents, internal audits, and risk assessments under a subscription model. I designed the backend using Django and PostgreSQL with a multi tenant architecture that ensured strict data separation between companies. I implemented role based access control, activity logging, and secure document storage. On the front end, I built a React dashboard that visualized compliance status and upcoming deadlines. The platform was deployed on AWS and structured to scale as new organizations onboarded. I also developed an AI powered reporting assistant within a business intelligence SaaS product. The goal was to allow users to generate summaries and insights from structured financial data using natural language queries. I built backend services in FastAPI, integrated OpenAI models, and implemented controlled prompt templates to ensure consistent and structured outputs. The AI layer was designed to operate within each tenant’s data boundary, preventing cross account access. This feature increased user engagement and reduced the time required to prepare executive reports. In another project, I built a subscription based learning management system for professional training providers. The platform supported multiple organizations, course management, user progress tracking, and payment integration. I handled system architecture, API development, database optimization, and containerized deployment using Docker. Performance improvements reduced page load times and improved system reliability during peak enrollment periods. I approach development with a long term mindset. I think about scalability, auditability, security, and cost efficiency from the beginning. I work closely with product owners to translate business requirements into technical systems that are stable and maintainable. Main Skills ✔️ Enterprise SaaS Development ✔️ Multi Tenant Architecture ✔️ React ✔️ Next.js ✔️ Python ✔️ Django ✔️ FastAPI ✔️ Node.js ✔️ PostgreSQL ✔️ REST API Development ✔️ OpenAI API Integration ✔️ Role Based Access Control ✔️ AWS ✔️ Docker

I'm a backend and cloud engineer with 4+ years of experience designing and shipping production systems that scale. My work spans high-throughput microservices, AI/LLM-powered platforms, and cloud-native infrastructure, all built to be reliable, efficient, and cost-effective. Most recently, I lead backend engineering at New Age, where I architect distributed APIs serving millions of requests per day. I've also built AI data pipelines for audio transcription and sentiment analysis, reducing processing latency by 40% using Celery, RabbitMQ, and Redis. My projects speak for themselves. I've shipped the backend for a Grammar AI app with 532,000+ users on the App Store, integrated OpenAI, Claude, and Gemini APIs for document processing, and deployed production APIs across GCP and Azure. I also built an OCR pipeline using Azure Computer Vision for a live currency converter app. I work confidently across the full backend stack, from RAG pipelines and vector embeddings to PostgreSQL schema design, Docker/Kubernetes deployments, and Terraform-managed cloud infrastructure on AWS, GCP, and Azure. Let's build something scalable. Drop me a message and I'll respond within a few hours.

Your server's down at 3am. Your cloud bill doubled. Deploys are a Friday nightmare. I fix exactly this — fast, with a rollback plan for every change. Results from 49 completed projects (100% Job Success): - 99.9% uptime — real monitoring with Prometheus, Grafana, and structured alerting - 30-60% faster page loads — Nginx/Apache tuning, CDN, TLS hardening, HTTP/2 - 20-35% lower cloud costs — right-sizing, autoscaling, lifecycle policies, FinOps - Deploys in minutes — Docker, Kubernetes, GitOps (ArgoCD/Flux), GitHub Actions, GitLab CI What I do: - Infrastructure & Containers: Linux, Docker, Kubernetes, Helm, Terraform, Ansible - Cloud: AWS, GCP, Azure - CI/CD: GitHub Actions, GitLab CI, ArgoCD, blue-green/canary deploys - Monitoring: Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch - Security: Vault, SBOM/SLSA, Zero Trust, WireGuard/OpenVPN - Scripting: Bash, Python, Go, PowerShell How I start: 1. Quick audit (30-60 min) — what's running, what's breaking, what costs money for no reason 2. Prioritized action plan — what to fix now, what can wait, rollback strategy for every change 3. Early wins in 48 hours — faster response, fewer alerts, lower bill, working backups I don't do "two weeks of discovery." I dig in, find the worst problems, fix them fast. Tell me what's hurting — I'll be straight about whether I can help and what it takes.