Engineering leader building at the intersection of AI and quality.
I'm an Engineering Manager who bridges the gap between cutting-edge AI and reliable software delivery. With over a decade of experience across startups and scale-ups, I specialize in building high-performing teams, designing quality-first engineering cultures, and leveraging AI to accelerate product development. I believe great engineering leadership is about multiplying the impact of every person on your team.
Integrating AI/ML capabilities into product workflows - from LLM-powered features to intelligent test generation and data-driven decision systems.
Scaling engineering teams from 5 to 30+, establishing career frameworks, hiring pipelines, and fostering cultures of ownership and continuous improvement.
Designing end-to-end quality strategies - test automation frameworks, CI/CD pipelines, observability, and shift-left quality practices at scale.
A decade of growth - from hands-on engineering to leading teams.
A full-stack quality & engineering toolkit honed over a decade.
How I build teams, ship products, and drive impact.
Embedding AI tools and workflows into every stage of the SDLC - from code generation and review to intelligent testing and deployment.
Investing in people through mentorship, clear career ladders, and creating psychological safety that empowers engineers to take bold bets.
Translating business goals into engineering roadmaps with clear milestones, measurable outcomes, and adaptive execution.
Breaking silos between product, design, and engineering to align on shared outcomes. Building bridges across distributed teams and time zones.
Driving reliability through SLOs, incident management, runbooks, and a culture of blameless post-mortems and continuous improvement.
Using engineering metrics, user data, and experimentation to prioritize ruthlessly and make confident product and technical decisions.
Sharing knowledge through writing and open source.
A hands-on guide to effective engineering management - covering team building, decision-making, stakeholder alignment, and leadership practices that drive real impact in fast-paced technology organizations.
Continuous learning across engineering, cloud, and leadership.
Amazon Web Services
Reforge
Cisco Systems
Google (Coursera)
University of Illinois (Coursera)
Cambridge Assessment
Open to conversations about engineering leadership, AI, and collaboration.