I’m a Senior Software Engineer with 10 years of experience building scalable enterprise applications, cloud-native platforms, and AI-powered software. My background combines full-stack and backend engineering with system architecture, distributed systems, cloud infrastructure, and practical AI development.
I specialize in Python, TypeScript, JavaScript, React, Angular, Node.js, FastAPI, REST APIs, GraphQL, microservices, PostgreSQL, MongoDB, Redis, and AWS. I also have hands-on experience with Docker, Kubernetes, Terraform, CI/CD, event-driven architectures, performance optimization, and production engineering.
Throughout my career, I’ve worked across the full software lifecycle—from architecture and development to deployment, monitoring, troubleshooting, and optimization. I’ve built backend services and APIs handling 500K+ monthly requests, reduced application latency by 35%, improved database query performance by 40%, and modernized legacy systems to improve maintainability and development efficiency.
AI engineering is a major area of interest for me. I’ve worked with LLM applications, OpenAI APIs, AI agents, RAG systems, prompt engineering, computer vision, YOLOv8/YOLOv11, ONNX Runtime, and AI model deployment. At Q2 Holdings, I integrated AI-powered automation and LLM capabilities into business workflows, helping reduce manual processing by 30%.
I also enjoy building systems that operate in real time. One of my projects involved developing an AI video analytics platform using Python, FastAPI, YOLO, ONNX Runtime, and WebSockets for real-time object detection, tracking, event recognition, and analytics.
I’m interested in Senior Software Engineer, Staff-level, Backend, Full-Stack, Cloud, and AI Engineering opportunities where I can stay hands-on while contributing to architecture and technical direction. I enjoy solving complex problems, improving system performance and reliability, and turning business requirements into simple, scalable solutions.
I’m particularly motivated by challenging technical environments, meaningful products, continuous learning, and opportunities to apply modern engineering and AI technologies to create measurable business value.
