I engineer systems, not just features.
As a Lead Software Engineer and Cloud Architect, I specialize in bridging the gap between complex AI models and highly scalable, production-ready infrastructure. My philosophy is simple: write type-safe code, automate the infrastructure, and build systems that are fault-tolerant by design.
Throughout my career, I’ve transitioned from building core full-stack features to owning end-to-end system architecture. Recently, I've been focused on designing robust data pipelines with Kafka and Spark, deploying PyTorch-based computer vision models for satellite imagery, and integrating Large Language Models (LLMs) into custom enterprise workflows using Python and LangChain.
I thrive in environments where I can mentor engineering teams, enforce strict DevOps and cloud ops standards on AWS, and turn complex business requirements into clean, scalable technical realities.
When I'm not optimizing cloud infrastructure or building Next.js and FastAPI applications, I'm usually tinkering with modular, declarative Linux configurations or exploring local AI model hosting.
Core Technical Arsenal:
Languages: Python, TypeScript, JavaScript (Node.js), PHP.
Architecture & Cloud: AWS, Docker, Kubernetes, DevOps, Microservices.
Data & AI: PyTorch, LangChain, LangSmith, Kafka, Spark, Airflow.
Backend & Frontend: FastAPI, Express.js, NestJS, Next.js, React, Vue.js.
Always open to connecting with other engineers, architects, and tech leaders. Let's build something that scales.
No skills.
No languages.
No employment history.
No education history.