The Builder
I lead engineering the way I wish someone had led it for me: steady over spectacular, calm over loud. My job is to build the systems — delivery governance, reliability posture, a leadership bench — that let good people do their best work without burning out. AI sharpens that discipline. It doesn’t make the call.
The arc
I started in enterprise IT — operations and software delivery across IBM and NIIT SmartServe, running banking and financial-services programs to 98%+ compliance. Then Clifford Chance in London: a global document-management migration across 10 international offices with zero operational downtime, programs up to £5M, a 100% audit and governance record. The decade taught me that unremarkable engineering is expensive to build and cheap to operate.
As COO at Lall & Sethi I ran the turnaround of a 50-person org — 18% cost reduction, 20% retention lift, 25% revenue growth, no proportional headcount. Then Apptology in Dubai: 15+ concurrent programs across Dubai, India, and Eastern Europe, $200K–$2M+ budgets, 12 transformations on time, 95%+ client satisfaction. Then Builder.ai’s Studio Store — 40+ concurrent enterprise engagements across the US, UK, and APAC, 85%+ renewals, recovering accounts others had written off.
I joined Sequifi in March 2024 to lead an AI-first transformation. As Director of Product Engineering I own a 60+ engineer organization across 6 teams, a layer of 5 EMs and tech leads, the budget, the hiring plan, and the reliability behind $50M+ ARR. The systems show up in the numbers: 40% fewer customer-impacting incidents, 99.9%+ uptime, on-time delivery from ~60% to 95%+, ~25% velocity gain from AI without trading away quality.
What I keep building
Calm organizations, built deliberately — not assembled in a panic.
Organizational design, delivery governance, and hiring loops that scale with the company. A leadership-of-leaders layer — engineering managers and tech leads who own outcomes — that holds when the org doubles. At Sequifi that meant scaling ~30 to 60+ engineers across 6 teams in two release cycles.
AI as leverage, with the guardrails intact.
GitHub Copilot, Cursor, and Claude adopted with mandatory human review — no unreviewed AI output reaches production. Stronger test and CI gates, dependency and secrets scanning, staff and lead design authority retained, accountable owners on every release. The result was ~25% velocity gain with no drop in quality.
Reliability is a leadership responsibility, not an afterthought.
I ran the on-call rotation, sat through the call no one should have had to take, and signed the runbook the next morning. The work — observability, incident discipline, reduced reliance on any single engineer through cross-training and rotated ownership — drove a 40% incident reduction and sustained 99.9%+ uptime.
Selected case studies
↓ 40% Production incidents I joined Sequifi in March 2024 to own engineering execution behind $50M+ ARR. Over two quarters I scaled the org from ~30 to 60+ engineers across six teams, cut customer-impacting incidents 40%, moved on-time delivery from ~60% to 95%+, and added ~25% velocity through AI-assisted workflows — faster and still correct, with reliability held at 99.9%+.
Read the case study
40+ Concurrent enterprise engagements led Global delivery leadership for Builder.ai’s Studio Store — turning a productized, AI-assisted app-build engine into a portfolio that held 85%+ renewals across the US, UK, and APAC, and recovered the accounts everyone else had written off.
Read the case study
10 International offices · four time zones A multi-year document-management migration that moved millions of legal documents across ten international offices for a heavily regulated global law firm — with zero operational downtime, full chain-of-custody, and 100% audit and governance compliance.
Read the case studyIf it could use a builder who leads, writes, and ships — let’s talk.
