Srikrish S

CTO

Fremont, California, United States25 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

20+ years of experience in engineering leadership
Proven track record in AI/ML product delivery
Expertise in building high-performing teams

Stackforce AI infers this person is a SaaS expert with a strong focus on AI/ML and developer platforms.

Contact

Skills

Core Skills

Ai-driven AutomationApi Lifecycle AutomationMachine LearningArtificial Intelligence (ai)Team ManagementBusiness Planning

Other Skills

Audio Visual (AV) SystemsCloud InfrastructureCommunicationConversational AIDHCPData CenterDeveloper ProductivityDistributed SystemsEmbedded SystemsHigh AvailabilityIPCInfrastructureL2/L3 protocolsLLMsLinux

About

Results-driven engineering leader with 20+ years of experience scaling high-performing teams and delivering impactful AI/ML powered products at Google and Cisco. Proven ability to drive innovation, build developer platforms, and spearhead LLM evaluation strategies with a focus on user needs and business impact. Specialties: AI/ML, LLM Quality/Evals, Platform Engineering, Cloud Infrastructure, Conversational AI, LLMs, and Developer Productivity. Demonstrated ability to: Led and scaled high-performing engineering organizations (100+ members) at Google and Cisco. Deliver impactful products with a focus on user needs, performance optimization, and data privacy. Emphasis on horizontal quality, prevention and Developer productivity Drive innovation in Conversational AI, LLM integration (Gemini), and on-device optimization. Experience with Model governance, Multi-host, distributed serving, isolation, Auto tuning, Roll-backs, Monitoring and visibility. Build and manage developer platforms, cloud infrastructure, and IoT solutions with significant revenue impact (e.g., $500M+ for Google Assistant platform). Spearhead LLM evaluation strategies, ensuring high quality and accurate assessments. Foster a culture of collaboration, innovation, and user-centricity.

Experience

Postman

Head of Engineering, Automation

Sep 2025 – Present · 6 mos · San Francisco Bay Area

At Postman, I lead efforts to bring intelligence and automation into the API lifecycle — from interpreting specs to validating real-world performance and reliability. Our team is building systems that automate monitoring, debugging, and issue resolution with the help of AI-driven insights and auto-fix capabilities. In an increasingly API-centric world, we’re reimagining how developers ensure quality, performance, and trust at scale.

AI-Driven AutomationObservability & MonitoringAPI Lifecycle Automation

Google

2 roles

Director of Software Engineering

Promoted

Apr 2019 – Nov 2025 · 6 yrs 7 mos · Mountain View, CA · On-site

Led and launched Google Assistant for Cars from development stage to 8+ Automakers with millions of cars and generating $XXXM+ in revenue. (Volvo, Renault, Ford, GM, Honda etc.)
Delivered horizontal high quality, performance and reliability platform for Cars, Wearables and Home.
Led the design, development, and launch of AI-powered features across Android Phone, Auto, and Wearables, significantly impacting user engagement and satisfaction.
Developed and launched a self-service developer platform for Google Assistant, enabling third-party integrations and generating $XXXM+ in revenue.
Spearheaded the integration of Google's cutting-edge Gemini LLM, achieving a 250% increase in user engagement for message summarization in cars.
https://www.telematicswire.net/google-unveils-ai-powered-message-summaries-for-android-auto/
Built and scaled a high-performing engineering team from 20 to 120 members, fostering a culture of innovation and collaboration.
LLM Quality and Evaluation: Led the end-to-end LLM evaluation strategy for Gemini Assistant for Home, utilizing both human raters and automated infrastructure to ensure accurate assessments.
LLM Model management: Experience with Model governance, Multi-host, distributed serving, isolation, Monitoring and visibility.
LLM Inference & Optimization – Gemini, knowledge distillation, on-device runtime
(TFLite/LiteRT), summarization, scalable serving
Drove significant performance improvements across Google Assistant, reducing latency and increasing system reliability, resulting in higher CSAT scores.
Championed data privacy and security best practices, ensuring compliance with regulations and maintaining user trust.

Machine LearningTeamworkBusiness PlanningAudio Visual (AV) SystemsSystem PerformanceCommunication+2

Tech lead manager

Jun 2010 – Jul 2015 · 5 yrs 1 mo · Mountain View, CA

Next generation data center SDN.
Cloud managed Data center fabric
Cloud Networking
Data center networking
Software Defined networks
Open flow protocols
Network modeling
Data center automation
Warehouse scale computers management
New platforms development and introduction
2013-2015: Google Vault. Google cloud enterprise app. eDiscovery platform connecting to Gmail, Hangouts, Google Drive backend for data backup and parsing in Enterprise offering.

TeamworkSystem PerformanceTeam Management

Cisco

Director of Engineering

Jul 2015 – Apr 2019 · 3 yrs 9 mos · San Francisco Bay Area

Leading IoT and Enterprise fog computing initiatives.
IOX: IoT Fog computing. https://developer.cisco.com/site/iox/
Virtualization Platform for IoT & Enterprise software stacks (Docker, Kubernetes, VM)
Onboarded Meraki & Thousand Eyes software stacks.
https://blogs.cisco.com/networking/application-hosting-on-catalyst-9000-series-switches
Cloud ready Enterprise and IoT software teams
Managed Kernel and Security teams.
Leading connected car engineering.
http://fortune.com/2016/04/19/hyundai-cisco-connected-car-tech/

TeamworkBusiness PlanningAudio Visual (AV) SystemsSafety CriticalSystem PerformanceCommunication+1

Redback networks, an ericsson company

Senior Engineering Manager, Software Infrastructure

Jan 2002 – Sep 2010 · 8 yrs 8 mos

Management/Architecture of infrastructure for LTE, BGF, BRAS etc.
HA framework
Performance and scalability
Managing global teams
Developed LAC, LNS and LTS for Broadband router

TeamworkSystem PerformanceTeam Management

Rapid5 networks

Senior Software Engineer

Aug 2000 – Sep 2002 · 2 yrs 1 mo

Rapid 5 was a start-up with a vision to replace class 5 switches with convergence switch
Part of the founding team
Designed data plane and control plane software for different applications
RTP/RTCP design and RTCP implementation
L2TP, PPP, BAP/BACP protocols implementation
Participated in end-to-end design of chassis architecture