About Me
Applied AI Engineer passionate about building scalable systems and deploying cutting-edge AI solutions
I'm a Software and AI Engineer with a Master's in Computer Science, specializing in building cloud-native microservices and deploying Generative AI/LLM systems. My expertise spans RAG (Retrieval-Augmented Generation), vector search, and knowledge graphs.
Throughout my career, I've consistently delivered measurable impact: cutting p95 latency by 40%, maintaining 99.9% system uptime, and increasing release velocity by 45% through CI/CD automation. I believe in building systems that not only work but scale elegantly under pressure.
My approach combines deep technical expertise with practical business sense. Whether I'm optimizing Python microservices for thousands of users or architecting enterprise-grade AI solutions, I focus on delivering solutions that drive real business results.
I'm particularly passionate about the intersection of AI and software engineering, where I leverage tools like GitHub Copilot, OpenAI Codex, and Anthropic Claude to accelerate development while maintaining code quality and system reliability.
Junior Software Engineer
Current Role
- • Developed and deployed AI-powered applications, automating workflows across teams
- • Architected enterprise-grade solutions on AWS with third-party AI integrations
- • Leveraged AI coding agents to accelerate development, improving delivery speed by 30%
- • Ensured reliability via DevOps best practices and containerized deployments
Graduate Assistant
Academic Role
- • Optimized Python microservices for 1,000+ users, reducing p95 latency by 40%
- • Hardened REST APIs with OAuth2/JWT, maintaining 99.9% uptime on AWS
- • Automated CI/CD with GitHub Actions & Terraform, reducing deployment errors by 60%
- • Implemented OpenTelemetry logging & tracing for faster incident resolution
- • Authored 20+ SOPs and reusable templates, reducing onboarding time by 30-40%
AI/ML & Data Science
Backend & Cloud
Languages & Frontend
DevOps & Infrastructure
When I'm not optimizing algorithms or architecting cloud solutions, I'm constantly exploring the latest developments in AI and machine learning. I believe in the power of open-source software and contribute to projects that solve real-world problems.
My academic background includes advanced coursework in Machine Learning, Knowledge Representation, Data Mining, and Machine/Deep Learning Security. I've also published research on IoT-robotics convergence and cybersecurity challenges.
I'm always interested in discussing new technologies, potential collaborations, or just geeking out about the latest AI breakthroughs. Feel free to reach out if you'd like to connect!
- AWS Certified Cloud Practitioner
- SQL and Relational Databases 101 (IBM)
- Python 101 for Data Science (IBM)