Jawahar Prasad

Jawahar Prasad

Senior Director of Engineering · Tekion

I build AI dev productivity at scale, and the measurement framework that doesn't rely on AI lineage or surveys.

What I'm building

I'm the architect of ORBIT, Tekion's agentic AI dev-productivity platform, running across thousands of repositories (700+ microservices). About 1,500 people use it across ~20K sessions a month, and the largest group isn't engineering; it's Customer Support.

  • DeepContext: graph-augmented retrieval over Jira, Confluence, code, PRs, and support tickets.
  • Central: agentic orchestration with sandboxed execution; 145K+ production runs.
  • ORBIT Support Agent: answers L1 questions, drafts replies, diagnoses tickets against code and config, suggests fixes, and escalates to engineering. Built on Central and DeepContext; in production and rolling out to all customers.
  • CPI (Composite Productivity Index): productivity measurement that doesn't depend on AI lineage, surveys, or tool-usage counts. Paper in development.
  • PACE: a Jira effort-estimation model I built. 85% of estimates land within one size bucket. It ignores developer story points, which were teaching it to repeat chronic under-estimation.
  • Grit: a support-ticket triage model I built. Nine TF-IDF + logistic-regression classifiers, one per routing decision, each with a calibrated confidence gate. It beat a fine-tuned 566M-parameter embedding model on held-out tickets, so the lightweight model shipped.
  • AIR: AI incident response, in early preview.

ORBIT replaced PDAF (Persona-Driven AI Framework), which I shipped in 2025. Augment Code featured it in December 2025: merge time 3 days to 1 day, MR volume +21% at the same headcount.

How we measure it

We track whether AI code review actually changes what ships. In one quarter, the share of high-priority review findings fixed before merge rose from 57% to 77%, at about $5 per PR.

Selected work

Open source

Experience

Twenty-one years building large-scale platforms, about 16 of them in ML, search, shopping, and AI. Yahoo!, Jabong, Flipkart (doubled ads revenue; Best People Manager 2018), Amazon (Recommendations and Personalization). Founding team of what became Whatfix (2010); left after 13 months, before product-market fit.

Bay Area · originally from Bangalore.

Elsewhere

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