Agentic systems
Multi-step LLM workflows with retries, tools, and evaluators.
I lead engineering at the intersection of AI, architecture, and people — turning ambitious bets into shipped systems and measurable capability.
Senior technology leader and Java Full Stack architect with 14+ years driving digital transformation, AI adoption, and scalable engineering across global organizations. Currently Head of Training & Development at ClassBoxes Technologies (USA) and CTO of CodingBrushUp.com.
Built training frameworks, shipped enterprise platforms, and rolled out AI-native workflows adopted by hundreds of engineers and thousands of learners globally.
Competency Field · Physics
Multi-year roadmaps aligned to fiscal targets and competitive positioning.
Re-platforming legacy estates onto cloud-native, AI-augmented foundations.
Embedding LLMs and agents into enterprise workflows and products.
Architecture review boards, risk frameworks, and standards at scale.
RFPs, build-vs-buy analyses, and platform consolidation strategy.
Aligning product, design, ops, and data around a single delivery vector.
Scaling delivery velocity through iterative frameworks and team autonomy.
Resilient, scalable topologies for high-availability global services.
IaC, multi-cloud posture, and cost-aware operational excellence.
Internal platforms, golden paths, and CI/CD that reduce shipping friction.
Copilot, Cursor, and agentic tooling rolled out org-wide.
Deep proficiency across Spring Boot, MERN, and distributed state.
Mentorship, perf management, and org design for 100+ headcount.
Curricula that have reached 18k+ engineers across industries.
Career ladders, succession plans, and inclusive hiring at scale.
Governance, evaluation, and human-in-the-loop guardrails.
Doctrine · v6.0
Strategy before stack — pick bets that compound..
Architecture is a teaching artifact, not a diagram.
AI is leverage; rituals turn leverage into outcomes.
Optimize for review velocity, not just commit velocity.
Governance early, or governance forever.
Capability beats heroics — invest in the team..
Active Research · Live Lab
Multi-step LLM workflows with retries, tools, and evaluators.
From paired prompting to spec-driven, test-first AI dev loops.
Evals, observability, and human-in-the-loop guardrails.
Core Competencies · Stratified
Direction · Bets · Governance
Architecture · Platform · Craft
Leadership · Capability · Ethics