# Manjunath G.

> Principal Software Engineer | AI Platform & Cloud Engineering | Full-Stack · Multi-Agent AI | AWS · Azure · GCP Certified

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/manjunathg

Hands-on Principal Engineer and AI Platform Architect specializing in the production-grade infrastructure that moves AI from prototype to enterprise scale. Currently at Genentech, I architect and lead three multi-agent AI platforms serving thousands of researchers across 57M+ records delivering 95% LLM cost reductions and 10–100x performance gains in data pipelines.


Core Impact at Genentech
▸ Shared AI Orchestration Platform: Designed a multi-client orchestration backbone (LangGraph, FastAPI, MCP) with Plan-Execute-Validate workflows, PostgreSQL-backed session memory, and pgvector semantic search, any new AI application onboards via config alone, with zero platform code changes.    
▸ Large-Scale Research Data Integration: Built unified natural language interfaces across 42M+ biological records and 170K+ sequences, integrating 6+ siloed research systems (PostgreSQL, MongoDB Atlas, Oracle) via 20+ MCP servers and 150+ domain-specific tools.
▸ Production Infrastructure: Zero-downtime Kubernetes/EKS deployments via Helm + ArgoCD GitOps, OpenTelemetry distributed tracing across all LLM and tool boundaries. Founded and scaled a global engineering team across SSF and Poland.


Professional Foundation
▸ Cloud Transformation (Philips Healthcare, 2016–2021): Led migration of regulated clinical systems to cloud-native PaaS, built federated data platforms for ML pipelines, and upskilled developers in AWS architecture.
▸ Clinical Architecture (Philips India, 2005–2016): 11 years in medical imaging, DICOM/HL7, real-time clinical workflows, and IAM systems. 2015 Philips Worldwide Hackathon Winner.


Stack: Python · FastAPI · LangGraph · MCP · React · TypeScript · Java · PostgreSQL · MongoDB · AWS EKS · Kubernetes · Terraform · Helm · ArgoCD · Azure OpenAI · OpenTelemetry


 Multi-Cloud Certified: AWS Solutions Architect · Google Cloud · Azure | M.S. BITS Pilani

## Work Experience
### Principal Software Engineer @ Genentech
Jan 2023 – Present | 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

### Principal Software Engineer @ Philips
Jan 2016 – Jan 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

### Software Architect @ Philips
Jan 2005 – Jan 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

### Senior Software Engineer @ Siemens Healthineers
Jan 2003 – Jan 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
### Master's degree in Computer Software Engineering
Birla Institute of Technology and Science, Pilani

### BE in Information Science and Engineering
B. M. S. College of Engineering

### M S in Software Systems
Birla Institute of Technology and Science, Pilani


## Contact & Social
- LinkedIn: https://linkedin.com/in/manjunathgovindaraju

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Source: https://flows.cv/manjunathg
JSON Resume: https://flows.cv/manjunathg/resume.json
Last updated: 2026-04-12