Satya Saridae
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Director – Generative AI & Engineering
Forward-Deployed AI Engineering Leader · Healthcare & Life Sciences
F0rty2.ai — agentic engineering platform
✉ [email protected] ☎ +91 9949879837 ◉ Hyderabad, India in linkedin.com/in/satyasaridae
Summary

Forward-deployed AI engineering leader with 19 years across healthcare, life sciences, banking, and regulated enterprise software. Currently Director – Generative AI & Engineering at Global HealthX, building agentic engineering operating models for lean venture-studio teams. Created F0rty2.ai to standardize AI-assisted product delivery around governed architecture, shared domain models, and maintainable healthcare product patterns. Previously co-led GxP/GAMP 5-aligned AI delivery at Novartis, including AE Brain for pharmacovigilance and DOCZ for DSUR automation across a 250K quarterly document pipeline.

Experience
Director – Generative AI & Engineering
Global HealthX (GHX, formerly GIH)
June 2024 – Present
  • Created F0rty2.ai as the agentic engineering foundation for Global HealthX's venture studio, standardizing architecture, domain models, permissions, and AI workflows for maintainable healthcare product delivery
  • Led a lean 5-person product-engineering squad as architect, hands-on developer, and AI engineering lead, taking Helix Engage from requirements sign-off to hospital pilots for Deepam and Ramaiah within 2 weeks
  • Delivered Helix Engage, a patient engagement and call-center CRM covering appointment booking, missed-call management, AI call summaries, agent assist, and campaign/referral tracking
  • Led AI/technology due diligence and stack-refresh recommendations across health-tech ventures; Tenmed and Docpulse advanced into the GHX portfolio after evaluation
  • Provided AI architecture and product oversight across portfolio opportunities including Cognitivebotics, assessing GenAI pathways for autism therapy, remote monitoring, EMR, and clinical decision-support use cases
Associate Director – ML & Architecture
Novartis
Aug 2022 – June 2024
  • Co-led cross-functional CSV and implementation work for AE Brain, Novartis's first GxP-compliant pharmacovigilance AI system, aligning product delivery with GAMP 5 principles
  • Helped establish IQ/OQ/PQ validation patterns, auditability, SOPs, and monitoring practices that informed early regulated AI governance approaches
  • Advanced GAIN as an enterprise GenAI foundation to accelerate AI prototyping and production pathways, initially supporting AE Brain and reusable GenAI experimentation patterns
Senior Technical Architect
Virtusa
Nov 2021 – July 2022
  • Owned technical strategy for SHL's psychometric assessment platform serving Fortune 500 talent evaluation programs
  • Identified opportunity for ML-driven intelligent scoring; led proof-of-concept that laid groundwork for next-generation assessment accuracy
Technical Design Expert
Novartis
Dec 2016 – Nov 2021
  • Led DOCZ, a BERT-powered regulatory document platform that generated draft DSURs, automated document compilation, and coordinated review/approval workflows across Novartis's 250K quarterly document pipeline
  • Led development of ML-driven patient selection models for Jakavi (polycythemia vera), enabling precision targeting in clinical care
  • Launched COSSET, a real-time leadership dashboard monitoring lockdown status across 250+ clinical sites during the COVID-19 pandemic response
  • Mentored 25+ AI/ML interns across organizations — 4 advanced to Ivy League graduate programs
Early Career Experience
Senior Programmer Analyst
FIS (Fidelity National Information Services)
2012 – 2016
  • Led product development of IBS Tablet — a mobile account origination and KYC solution deployed across global banking institutions
  • Designed end-to-end digital workflows for bankers, replacing paper-based processes with secure, high-volume mobile experiences
Technology Analyst / Senior Software Engineer
Infosys & Virtusa
2006 – 2012
  • Led platform modernization for enterprise clients (APL, Direct Wines), reducing system downtime by 40% through strategic migration planning
  • Architected a visual application builder — drag-and-drop page designer, rules engine, and workflow builder — and optimized the code-generation engine using caching and parallel processing
Achievements
  • Created F0rty2.ai — agentic engineering platform for healthcare venture delivery
  • Took Helix Engage from requirements sign-off to Deepam and Ramaiah hospital pilots within 2 weeks
  • Co-led Novartis's first GxP-compliant AI delivery for pharmacovigilance
  • Established GAMP 5-aligned IQ/OQ/PQ patterns for regulated AI implementation
  • Automated DSUR drafting workflows across Novartis's 250K quarterly document pipeline
  • Deployed COSSET across 250+ clinical sites during COVID-19 pandemic
  • Led AI/technology due diligence for health-tech ventures including Tenmed and Docpulse
Certifications
Technology Entrepreneurship
University of Colorado Boulder · 2025
NVIDIA Generative AI
NVIDIA · 2025
AWS Certified AI Practitioner
Amazon Web Services · 2025
Google Cloud GenAI Leader
Google Cloud · 2025
LLMOps Specialization
Duke University · 2025
Neural Networks & Deep Learning
Coursera · 2017
Machine Learning
Coursera · 2017
Skills
Product & Strategy
AI Strategy, Product Vision, Due Diligence, Startup Evaluation, Stakeholder Management
AI & Agentic Systems
LLMs, Agentic AI, AI Engineering Operating Models, Google ADK, Vercel AI SDK, MCP, NLP, MLOps
Compliance & Regulated Systems
GxP, GAMP 5, CSV, IQ/OQ/PQ, SOPs, Audit Trails, AI Governance
Platform & Cloud
AWS, Azure, Google Cloud, Platform Architecture, Multi-tenant Systems
Technical Fluency
Python, React, Swift, Flutter, GraphQL, NestJS, PostgreSQL, Docker
Education
Master of Computer Applications
Jawaharlal Nehru Technological University
2006
Bachelor of Computer Science
Osmania University
2003
Key Projects
F0rty2.ai — AI-Native Health-Tech Platform
Agentic Engineering · Healthcare Platforms · Product Architecture · GenAI
Created F0rty2.ai to solve a practical venture-studio problem: AI-assisted teams were moving fast, but divergent stacks made code review, maintenance, and reuse difficult. The platform defines architecture, domain models, permissions, and AI workflows once, then anchors healthcare products to shared conventions. Used as the foundation for Helix Engage, a patient engagement and call-center CRM now in pilot for Deepam and Ramaiah hospital initiatives.
Operating model detail

The platform narrative is intentionally framed as an engineering operating model: governed architecture, reusable domain models, and AI workflows that let small teams move fast without fragmenting the codebase. View F0rty2.ai.

AE Brain — Pharmacovigilance Decision Support
NLP · Patient Safety · GxP · GAMP 5 · CSV
Novartis's first GxP-compliant AI system for pharmacovigilance, focused on adverse-event and technical-complaint identification across multi-source textual data. Co-led cross-functional CSV and implementation work, helping establish IQ/OQ/PQ validation patterns, auditability, SOPs, monitoring, and early governance practices for regulated AI delivery.
Regulated AI detail
  • Cross-functional CSV and implementation work with QA, safety, technology, and product stakeholders.
  • Validation emphasis on IQ/OQ/PQ, traceability, monitoring, and audit-ready operating practices. Preview Novartis protocol automation brief.
GAIN — Enterprise GenAI Platform
Product Strategy · GenAI · Azure · MLOps
Enterprise GenAI foundation advanced during its establishing phase to accelerate AI prototyping and production pathways. Initially supported AE Brain's evolution and reusable experimentation patterns while broader adoption, governance, and operating models were still being shaped.
Helix Engage — Patient Engagement CRM
Healthcare CRM · AI Agent Assist · Telephony · Hospital Pilots
Patient engagement and call-center CRM built on F0rty2.ai for appointment booking, missed-call management, AI call summaries, agent assist, and campaign/referral tracking. Led architecture, hands-on development, and a lean product-engineering squad from requirements sign-off to Deepam and Ramaiah hospital pilots within 2 weeks.
Delivery detail

The strongest proof point is not a cost-savings claim; it is a concrete operating result: a lean product-engineering squad moved from signed-off requirements to hospital pilots within 2 weeks.