I am a passionate software engineer with a strong background in full stack product development and cloud technologies. My recent MS, focused on distributed cloud systems, has deepened my drive to solve real-world challenges at scale.
I thrive on building impactful solutions and enjoy collaborating with innovative teams that value curiosity, technical excellence, and meaningful results.
I am eager to contribute to projects where quality and impact matter, and to work alongside others who share a passion for making a difference.
Software Product Engineer
Academic foundation in computer engineering and software systems
Advanced graduate coursework focusing on computer systems, including distributed systems and cloud computing.
Built a foundations in instrumentation and control engineering with significant focus on core computer science subjects
Building impactful solutions across research, fintech, and enterprise systems
Developing a conversational AI platform to accelerate biodiversity research, with React, Python, proprietary agent sdk and an orchestration layer.
Led frontend development of a SaaS accounting platform from concept to launch, building core features including activity feeds, approval workflows, and collaborative workspaces.
Led backend development for core enterprise systems, using Java and SQL to deliver sales and provisioning features while maintaining integrations with 10+ downstream services.
Developed post-sales product lifecycle management prototype for automotive predictive maintenance using machine learning and real-time data analysis.
A selection of projects that demonstrate my technical skills and problem-solving approach
Two-tier controllers for Kubernetes Cluster Resource Management and horizontal scaling with real-time monitoring and automated resource allocation.
Dockerized LLM infrastructure stack with Docker Swarm, Ray Compute and vLLM achieving 44% reduction in TTFT for conversational AI applications.
Thoughts on software engineering, distributed systems, and emerging technologies
Deep dive into architecting distributed LLM systems that can handle multi-GPU model parallelism while maintaining cost efficiency and performance.
Practical strategies for React optimization including memoization, code splitting, and caching that led to significant performance improvements.
If you're searching for a passionate and collaborative team member, let's connect! I'm eager to join innovative teams and contribute to exciting projects.