
I thrive on building robust, scalable systems that power innovation. My passion lies in tackling complex technical challenges, especially at the intersection of software engineering and computational science. Let's build something impactful together!
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led impactful software engineering initiatives at Google and Microsoft.
Currently drives advanced engineering as a Senior Software Engineer at Meta.
Can help others by architecting scalable software systems and optimizing complex workflows.
🚀 Career trajectory
Foundational Research & Early Engineering
Began with lab work at Rutgers University, laying a groundwork in scientific inquiry before transitioning into software engineering roles at Microsoft and Google.
✦ Research Assistant
✦ Software Engineer
Deepening Software Expertise
Gained extensive experience as a Software Engineer at Google, focusing on complex software systems and infrastructure development.
✦ Software Engineering
✦ Infrastructure
Elevating to Senior Leadership
Transitioned to a Senior Software Engineer role at Microsoft, followed by a Senior Software Engineer position at Meta, driving advanced engineering initiatives.
✦ Senior Software Engineer
✦ System Architecture
💪🏻 Superpowers
Architecting Scalable Systems
Designing and building foundational software infrastructure.
✦ Expertise in Python, Go, and C++ for system development.
✦ Proven ability to optimize performance and reliability.
✦ Experience in developing complex, large-scale software solutions.
Bridging Research and Engineering
Applying computational skills to scientific challenges.
✦ Background in computational biology and bioinformatics.
✦ Experience with agent-based modeling and ODE analysis.
✦ Leveraging data to solve complex biological problems.
Cross-Company Engineering Leadership
Navigating and contributing to top-tier tech environments.
✦ Senior Engineer roles at Meta, Google, and Microsoft.
✦ Deep understanding of engineering best practices.
✦ Collaborating effectively within diverse teams.
I'm excited about
✦ Connecting with innovators tackling challenging distributed systems problems.
✦ Exploring opportunities to contribute to open-source projects in infrastructure.
✦ Finding collaborators for research at the intersection of software and computational biology.
I can help with
✦ Providing guidance on building scalable and resilient software infrastructure.
✦ Sharing insights on optimizing computational workflows for research.
✦ Advising on career development within large-scale tech companies.
I would love your help on
✦ Learning about emerging trends in AI/ML infrastructure.
✦ Discovering novel applications of agent-based modeling.
✦ Connecting with early-stage startups in biotech or deep tech.