Autonomous SDLC platform
A two-pass agent pipeline that classifies Jira tickets, implements fixes, and gates risky changes behind Slack approval — zero manual triage.
I lead the teams that ship production LLM systems — agent orchestration, cost engineering, and HIPAA-compliant SaaS at scale. 14+ years, hands-on the whole way.
// how a Jira ticket becomes a merged PR — the SDLC platform I built at ShyftLabs
Production-grade platforms across US healthcare SaaS, autonomous AI agents, biometric security, FinTech, and TaxTech — all designed for scale, compliance, and measurable outcomes.
A two-pass agent pipeline that classifies Jira tickets, implements fixes, and gates risky changes behind Slack approval — zero manual triage.
An 18-step content DAG generating meta tags, copy, FAQs and schema across 300+ healthcare websites, with multi-model fallback and cost guards.
Architected a fully isolated multi-tenant SaaS platform hosting 500+ US healthcare websites, each with per-tenant configuration, branding, data isolation, and independent scaling — with zero cross-tenant data leakage.
Delivered a HIPAA-compliant Booking Management System with live slot availability sync, real-time PIMS (Practice Information Management System) integration, encrypted PII data handling, and full audit trail — increasing partner adoption by 45%.
A face authentication platform for SaaS and on-prem deployment, with a biometric model that keeps learning a user's face over time.
Led end-to-end product strategy for large-scale TaxTech SaaS. Engineered a dynamic tax determination engine with 50+ rule-based algorithms, automating complex TDS computations with 99.9% accuracy.
Designed a HIPAA-compliant healthcare product for European startups. Implemented secure patient data exchange and remote consultation features, ensuring strict compliance with health data privacy regulations.
Architected a high-traffic news portal on AWS (EC2, S3, RDS, CloudFront) handling 50K+ hits/hour with automated RSS feed ingestion and WordPress-S3 synchronization.
Delivered FinTech mobile banking solutions for 165+ cooperative banks using C# and Flutter, ensuring 99.99% uptime and 1M+ secure transactions/month per bank.
Launched a scalable mobile wallet with 100K+ active users, integrated BillDesk payment gateway, enabling instant UPI and bill payments with <2 sec transaction latency.
Partnered with World Bank on geofencing and NO₂ emission monitoring, leveraging Python, PostgreSQL, and geospatial analytics for real-time air quality visualization.
Co-founded and built a unified mobile banking app in Java, enabling 70+ banks to perform secure, real-time view-only operations — reducing support load by 40%.
LLM pipelines, agent orchestration, cost & token engineering, RAG, multi-model fallback.
Leading 10–20+ engineers through delivery, hiring, and agile execution.
AWS-native, multi-tenant SaaS, microservices, high-concurrency systems.
Turning business goals into shipped roadmaps — on time, at 98%+ delivery rates.
I gravitate toward systems where the constraints are real — regulatory (HIPAA, ISO 27001, GDPR, RBI), operational (300+ tenants, 10M+ records a day), or architectural (agents that have to be trusted with production code). The common thread has been owning it end to end: architecture, team, and delivery.
As an Engineering Manager I'm accountable for a roadmap and a team of 10–20+ people, but I still design the systems and write meaningful amounts of code — the SDLC agent pipeline, the biometric matching engine, and the tax rule engine were all things I architected personally.
Most interesting problems aren't about the model — they're about cost, safety, and control. Bounded agent turns, Slack approval gates, multi-layer caching, and per-tenant cost guards. I'd rather ship a system that's slightly less magical and fully explainable than one that's impressive in a demo and unaccountable in production.
Open to engineering leadership roles, AI advisory, and conversations about production LLM systems.
Based in Noida, India · open to remote & relocation conversations