Hands-on Principal Engineer and AI Platform Architect specializing in the production-grade infrastructure that moves AI from prototype to enterprise scale.
Experience
2023 — Now
2023 — Now
South San Francisco, CA
Architect and technical lead for three production multi-agent AI platforms at Genentech,
serving pharmaceutical researchers across 57M+ records in regulated, high-availability environments.
• Designed a shared multi-client AI orchestration platform (LangGraph, FastAPI, MCP) with
Plan→Execute→Validate workflows, PostgreSQL-backed session memory, pgvector semantic search,
and config-driven client isolation, zero platform code changes per new application onboarded
• Built a natural language research interface integrating 20+ MCP servers and 150+ domain-specific
tools across 6+ siloed systems (PostgreSQL, MongoDB Atlas, Oracle), enabling access to 42M+
biological records and 170K+ sequences via a full-stack React 19 + TypeScript + Astro frontend
• Unified 6 in-vivo research systems across 4 database technologies behind a single natural language
interface with cross-system record linking and SSE streaming for real-time response rendering
• Reduced LLM token usage by 95% via cost-aware inference and two-stage summarization pipelines
while preserving 100% data coverage
• Achieved 10–100x data pipeline performance improvement by re-architecting REST integrations
to async direct database pipelines
• Defined cloud-native deployment standards, Kubernetes (AWS EKS), Helm, ArgoCD GitOps,
HashiCorp Vault, enabling zero-downtime releases across dev/tst/uat/prd environments
• Founded and scaled a global engineering team (SSF + Poland); set ADRs, technical standards, and influenced org-wide engineering practices for agent orchestration and AI platforms
2016 — 2021
2016 — 2021
Pleasanton, CA
Led cloud transformation strategy and enterprise architecture for Philips HealthSuite, moving
complex regulated clinical and imaging systems from on-premise to cloud-native PaaS.
• Strategized and architected HealthSuite Digital Platform (HSDP) cloud-native transformation,
designed PaaS services enabling interoperability, analytics, and AI integration across global
healthcare product lines
• Defined enterprise architecture frameworks and reusable reference models adopted across multiple
global engineering organizations for scalability, security, and regulatory compliance
• Architected federated data platforms supporting ML pipelines, advanced analytics, and clinical
decision support systems across distributed environments
• Implemented Multi-Factor Authentication (MFA) using TOTP and integrated with Philips IAM and
third-party auth apps (Google Authenticator, Microsoft, Authy)
• Designed and built cloud-native Vendor Neutral Archive (VNA) with AWS S3/Glacier lifecycle
policies for cost-effective long-term DICOM-PACS medical image archiving
• Built IAM microservices (Java, Spring Boot, PostgreSQL, LDAP) supporting authentication,
authorization, RBAC, OAuth, deployed on AWS EC2 with fully automated CloudFormation
• Championed cloud-native IAM standards, delivered secure auth/authorization across multi-tenant
regulated healthcare applications integrated with Validic, Salesforce, FitBit, Apple Watch ecosystems
• Conducted organization-wide AWS training for developers, accelerating cloud-native adoption
• Led architecture governance, design reviews, and technology selection across multiple orgs
• Mentored engineers; partnered with portfolio and product management to define digital roadmaps
2005 — 2016
2005 — 2016
Bangalore
• Defined roadmap and architecture for Philips Clinical Platform (HSDP Foundation) : IAM,
identity resolution, permission engine managing auth/authorization/consent across all Philips products
• Led Identity and Access Management (IAM) team of 6 engineers, single point of contact for
all IAM integrations across Philips Business Units (VHR, BDA, and others)
• Won Philips Worldwide Hackathon 2015 : built a working prototype from scratch in 24 hours
that was subsequently productized
• Developed FHIR-compliant Clinical Data Repository microservices (Java, Spring Boot, REST)
delivered as Docker containers on AWS/Cloud Foundry
• Played Product Owner for DICOM Print subsystem, customer discussions, roadmap, sprint demos
• Led a team of 10 engineers across multiple subsystems in Philips Clinical Platform
• Built Back End X-ray (BeX) platform modules: Viewing, User Guidance Service (UGS), Touch
Screen Module, on which all Philips X-Ray modalities built their applications
• Designed and optimized DICOM, HL7, and IHE interoperability subsystems ensuring regulatory
compliance (FDA, HIPAA) and clinical performance at global scale
• Led requirements engineering, architectural design (UIS/URS/UDS), and full-cycle delivery
of mission-critical imaging subsystems
• Performed performance tuning on image loading, scrolling, and algorithm optimization for
first-image latency in diagnostic workflows
2003 — 2005
2003 — 2005
Bengaluru
• Designed, implemented, and performance-tuned SIENET Cosmos PACS radiology viewing
functionalities (Blow-Up, Magic Glass zoom, 2D interactive annotation tools)
• Optimized image loading and scrolling pipelines for large diagnostic dataset performance
• Built MSI installation packages for PACS viewer deployment
Stack: C++, VC++, MFC, Design Patterns, Rational Rose, Rational Purify
Education
Birla Institute of Technology and Science, Pilani
Master's degree
B. M. S. College of Engineering
BE
Birla Institute of Technology and Science, Pilani