Primary language for backend, AI, and data engineering solutions.
Building modern, responsive user interfaces with TypeScript.
Architecting secure, high-performance RESTful APIs and microservices.
Engineering GenAI workflows, RAG, and multi-agent systems.
Deploying scalable services on AWS (EC2, RDS) and cloud architecture.
Containerization and orchestration for resilient CI/CD pipelines.
MLOps for model tracking and robust ETL pipeline management.
My process blends robust architecture and GenAI intelligence to solve complex problems, craft scalable systems, and deliver high-performance software that exceeds business needs.
In this phase, I dive deep into defining the core challenge and sketching out the technical blueprint. This ensures the foundation is rock solid, secure (using flows like OAuth 2.0), and truly built to scale. My goal is to prevent technical debt before the first feature is even planned.
This is where I write clean, production-ready code. I focus on building robust APIs (FastAPI/Spring Boot) and integrating specialized systems, whether that’s deploying GenAI RAG workflows (LangChain) or engineering ETL pipelines (Apache NiFi). The emphasis is on functionality and performance.
It’s not finished until it’s fast, reliable, and shipped. I implement performance checks like Redis caching and MLflow model tracking, then ensure delivery using Docker and CI/CD pipelines. This final stage is all about maintaining high uptime and getting the best possible performance to the user.
I take quality assurance seriously. This phase includes writing rigorous test cases (like Swift tests for mobile functionality ), collaborating on code reviews , and utilizing MLOps (MLflow) for model tracking and tuning. This is how I ensure performance improvements, like reducing inference latency by 40%.
Time to go live. I handle the entire deployment process using containerization (Docker/Kubernetes) and cloud platforms like AWS. Once deployed, I actively monitor performance to maintain our 98% uptime goal and resolve any DNS or environment-specific bugs for long-term stability.
