I am passionate about scaling robust engineering systems that drive business growth. I thrive in high-stakes startup environments where I can align complex technical trade-offs with core product vision.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Co-founded a startup and gained extensive software experience at Google.
Serves as the Chief Technology Officer at a high-growth YC-backed startup.
Provides strategic guidance on scaling engineering teams and integrating machine learning.
🚀 Career trajectory
Foundational Experience
Established technical roots at Google after co-founding an early venture.
✦ Big-Tech
✦ Founder
Growth Phase
Scaled engineering teams at high-impact startups like Informed.IQ.
✦ Scale
✦ Engineering-Lead
Executive Leadership
Driving technological strategy and product vision as CTO at Flockjay.
✦ CTO
✦ Strategic-Vision
💪🏻 Superpowers
Technical Architect
Building scalable systems from the ground up
✦ Architected high-volume web platforms using Python, Ruby, and Django.
✦ Integrated machine learning pipelines to solve critical business problems.
Startup Operator
Driving growth through decisive engineering leadership
✦ Transformed technical strategy as CTO in the YC startup ecosystem.
✦ Balanced business-critical product trade-offs during rapid scaling phases.
Product-First Engineer
Aligning technical output with user outcomes
✦ Unified business goals with engineering execution to optimize user experience.
✦ Built engineering cultures that prioritize product-market fit.
I'm excited about
✦ Exploring new frontiers in machine learning application and startup growth.
✦ Connecting with peers to exchange insights on modern engineering management.
✦ Discovering emerging technologies that could define the next wave of web products.
I can help with
✦ Advising early-stage founders on building lean, high-velocity engineering teams.
✦ Evaluating technical architectures for product-market alignment and scalability.
I would love your help on
✦ Learning from peers about navigating the complexities of post-Series A growth.
✦ Identifying partners interested in bridging technical debt with product innovation.
✦ Finding opportunities for collaborative advising within the AI and startup space.