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Engineering leader, strategic finance practitioner, and data science innovator with expertise spanning silicon to P&L.
General Information
| Full Name | M. Tony Gibbons |
| Location | Bay Area, California |
| tony@emberagenticlabs.com | |
| linkedin.com/in/markagibbons |
Education
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2025 Master of Information and Data Science
University of California, Berkeley - UC Berkeley Master's in Data Science program
- Focus on AI, Machine Learning, and Data Analytics
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2008 Master of Business Administration
Brigham Young University - Business strategy and financial management
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2002 Bachelor of Science in Computer Engineering
University of the Pacific - Magna Cum Laude
- Computer hardware and software engineering fundamentals
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2011-2014 Health Professions Certificate
University of California, Berkeley - Full pre-med curriculum including biology, chemistry, organic chemistry, physics, and biochemistry
- Completed while exploring PhD opportunities in medical research
Professional Experience
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Nov 2025 - Present Founder
Ember Agentic Labs - Built and shipped Crucible, a governed AI software-development platform — specialized agents run the full lifecycle against one shared knowledge graph; deterministic gates refuse work missing its acceptance criteria rather than flagging it in review
- Delivered solo in three months, using the platform to build itself
- Public alpha since May 2026 — signed and notarized installers for macOS, Windows and Linux, built in CI; runs locally on user-supplied model keys
- Adopted by a deep-tech operating company after a controlled head-to-head against their incumbent tool; output judged comparable to a top-tier consultancy's
- Cross-model evaluation layer — every quality gate graded by a different provider than the one that produced the work, spanning Anthropic, OpenAI, Gemini, DeepSeek, Qwen and local models via Ollama
- Stack: TypeScript, Node.js, VS Code Extension API, Model Context Protocol (MCP), LangGraph state machines with checkpointing, SQLite knowledge graph with hybrid full-text and vector retrieval, per-agent git worktree isolation, GitHub Actions CI
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Jan 2026 - Present Technical Advisor
TAP Sciences (tapsciences.com) - Advise across AI and high-performance computing, semiconductors, and data-center infrastructure at a deep-tech operating company that originates, evaluates, holds and advances programs from invention to commercial scale
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Mar 2020 - Oct 2025 Data Analytics and Engineering Manager
Google, Cloud Finance Transformation - Drove the complete product lifecycle for Google Cloud's first unified $XXB+ revenue platform by researching and designing business logic, using Python for EDA, and coding the foundational SQL data pipeline
- Established data governance processes to ensure confidentiality and scaled the platform from zero to over 8,000 daily active users
- Initiated and drove a second product lifecycle to build a full $XXB+ granular P&L profitability data solution
- Hired and led a new Business Systems Analyst (BSA) team of 4, providing executive leadership with project updates
- Spearheaded novel AI/ML finance tools, including dashboards enabling natural language (RAG) queries and ML models for root-cause-analysis
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Jan 2019 - Feb 2020 Finance Manager
Google, Data Center Supply Chain - Led an AI/ML-driven strategic asset optimization initiative that improved operational efficiency and saved $100M in one quarter
- Used Machine Learning and regression techniques to predict stranded inventory and identify alternate usage scenarios
- Led a new Financial Planning & Analysis (FP&A) team, creating a $10B+ CapEx Long-Range Planning process
- Developed data infrastructure aligned with statistical forecasting methodologies for Infrastructure Finance
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Jun 2017 - Dec 2018 Technical Program Manager
Google, Cloud Technology Partnerships Strategy - Drove strategic operations for the Cloud Technology Partnerships org, supporting its growth from 50 to 225+ employees
- Hired operations lead and managed a Business Intelligence team, architecting new real-time intelligence systems
- Built financial model for forecasting data center ROI used in C-level investment recommendations
- Managed hiring plans and conducted strategic portfolio analysis
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Mar 2015 - May 2017 Senior Financial Analyst
Google, Data Center Infrastructure R&D - Established and managed the multi-$100M annual budget and financial controls for the R&D organization
- Integrated OpEx, CapEx, and HR data to support VP & Director on portfolio and operational planning
- Developed robust data application to automate HR resource allocation for OPEX and portfolio analysis
- Solution scaled across Google engineering and continues to inform core P&L opex apportionments
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Aug 2011 - Jul 2013 Strategy & Operations Manager
Cisco, Technical Services - Led strategic operations initiatives for Technical Services organization
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Mar 2008 - Jul 2011 FP&A Business Unit Controller
Cisco, Voice Technology Group - Managed financial planning and analysis for Voice Technology Business Unit
- Supported business unit controller functions
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Jun 2002 - Feb 2006 ASIC Computer Hardware Design Engineer
Intel Corporation, Folsom, CA - Designed I/O Controller Hub Chipsets
- ASIC hardware design and verification
Research Experience
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Dec 2013 - Sep 2014 Clinical and Laboratory Research in Ophthalmology and Neuroscience
University of California, San Francisco (UCSF) - Conducted clinical research investigating correlation between Alzheimer's disease and optic-neurodegenerative conditions
- Administered and analyzed cognitive testing protocols to identify early biomarkers linking brain and ocular neurodegeneration
- Performed wet lab experiments on gene-knockout mouse models to study optic nerve damage resilience mechanisms
- Coordinated volunteer recruitment and managed clinical trial data for neurodegenerative disease studies
- Utilized advanced imaging techniques and genotyping to investigate glaucomatous neuropathy at molecular level
- Contributed to translational research bridging clinical observations with fundamental neuroscience discoveries
Technical Skills
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Statistical Analysis & Math
- Machine Learning, AI, and Revenue Forecasting
- Statistical Analysis, Causal Inference, A/B Testing
- Experimental Design, Data Mining
- Strong foundation in Physics, Economics, and Mathematical software
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Data Products & Systems
- Full-cycle pipeline development and data architecture
- BigQuery, Snowflake, ETL frameworks, dbt, Airflow
- Petabyte-scale pipelines, data modeling, data governance
- Data warehousing, CI/CD, data security
- Project Management and SLA definition
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AI Engineering & Agent Systems
- Multi-agent orchestration, LLM application architecture, agentic workflows
- Model Context Protocol (MCP), LangGraph state machines, tool-calling and function-calling
- RAG, vector search and hybrid retrieval, knowledge graphs
- Model evaluation and quality gating, cross-model judging, LLM observability
- Anthropic, OpenAI, Gemini, DeepSeek, Qwen, Ollama
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Programming Skills
- SQL, Python, Java, TypeScript, Node.js
- Git, VS Code Extension API, SQLite
- Data preparation and analysis
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Product & Collaboration
- Business Strategy and Strategic Planning
- KPI definition and business metrics
- UX Collaboration and Stakeholder management
- Decision Making and Mentoring
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Cloud & DevOps
- GCP and AWS (public cloud)
- Docker and Kubernetes
- Cloud-native workflows
Key Achievements
- Built Google Cloud's first unified $XXB+ revenue platform serving 8,000+ daily users
- Led AI/ML initiative that saved $100M in one quarter through strategic asset optimization
- Created $10B+ CapEx Long-Range Planning process and data infrastructure
- Scaled Cloud Technology Partnerships org from 50 to 225+ employees
- Developed HR resource allocation system scaled across Google engineering
Awards & Honors
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2005 GMAT Score - 760 (99th percentile)
- Exceptional performance on Graduate Management Admission Test
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2002 Magna Cum Laude
University of the Pacific - Graduated with high honors in Computer Engineering
References
- References and recommendations available on LinkedIn
- 10+ professional endorsements from Google colleagues
- Contact information for references available upon request