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Vetted Team Leads in the Bay Area

Pre-screened and vetted in the Bay Area.

C++PythonAgileAmazon EKSAPI DesignAWS
GU

Gabriel Undrerwood

Screened

Engineering executive specializing in production ML systems and enterprise SaaS

San Francisco, CA26y exp
FLYRCarnegie Mellon University

Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.

LeadershipScalingHiringTeam BuildingTechnical StrategyAI/ML Decision Systems+109
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FT

Fanley Tseng

Engineering leader specializing in data platforms and distributed systems

San Francisco, CA12y exp
BrazeCal Poly San Luis Obispo
Active DirectoryAirbyteAirflowAmazon Web ServicesAngularAngularJS+77
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KK

Kalyan Kakati

Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms

San Jose, CA29y exp
CognizantNYU
AgileAI/MLAIXALM (Asset Liability Management)Amazon BedrockAnsible+216
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PP

Praful Parekh

Director-level Data & Enterprise Technology Program Leader in Life Sciences

Santa Clara, CA15y exp
Data Safeguard, Inc.University of Mumbai
Agile DeliveryScrumKanbanWaterfallProgram ManagementProject Management+85
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KC

Kanaka Chalam Volety

Screened

Staff DevOps/SRE Engineer specializing in AWS, Kubernetes, and GitOps

San Jose, CA24y exp
ZoomThompson Rivers University

Infrastructure-focused engineer with Vonage experience modernizing early-stage cloud architecture (Terraform modularization, blue-green deployments, containerization, and zero-downtime database migration planning to Aurora). Also built a local end-to-end side project, Vastu AI, combining a custom-trained YOLO model (Roboflow-labeled data) with a locally hosted LLM via Ollama to generate a vastu compliance report from floor-plan images.

ActiveMQAgileAIAlertmanagerAmazon AuroraAmazon CloudWatch+190
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AK

Ambarish Krishnamurthy

Executive AI & Cloud Architect specializing in LLM systems, agentic AI, and low-latency trading

Mountain View, CA28y exp
Hyperion AIUniversity of Madras
Agentic AIAI ArchitectureAI EthicsAI GovernanceAI OpsAlgorithmic Trading+166
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ZG

Zhilang Gui

Screened

Junior Solutions Engineer / Full-Stack Engineer specializing in AI-native SaaS and APIs

San Francisco, CA1y exp
EasyBee AIBoston University

Worked at easybee ai building a production-grade "voice of the customer" LLM intake agent, hardening a fragile sandbox prototype with JSON-schema constrained outputs, Python/FastAPI validation middleware, and automated retries. Strong in real-time debugging of agentic workflows (snapshot isolation, modular tracing) and in implementing safety/compliance guardrails like a content-moderation middleware to support enterprise adoption.

API-Based SaaS ArchitectureRESTful APIsPostmanAuthentication FlowsAuth0NextAuth+68
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ZG

Zhilang Gui

Junior AI/ML Engineer specializing in agentic RAG systems

San Francisco, CA2y exp
EasyBee AIBoston University
AgileAI-Assisted Code ReviewAgent PoolingAgentic AIAsynchronous ProgrammingAWS CloudWatch+53
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JT

Jacob Thompson

Screened

Mid-Level Full-Stack Software Engineer specializing in web apps and voice AI

San Francisco, CA8y exp
U.S. Department of StateUC Merced

Software engineer with a graphic design/marketing background who led a 4-month U.S. Department of State Diplomacy Lab project delivering a proprietary React/Electron + Flask + PostgreSQL scheduling app, including OKTA SSO integration under strict government confidentiality constraints. Also has hands-on production web experience fixing a broken WordPress/Elementor content system by scripting automated recategorization and date corrections.

PythonFlaskC++JavaJavaScriptTypeScript+49
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