CV/Resume
Giacinto Paolo (GP) Saggese, PhD#
Cell: 408-431-1286 | Email | LinkedIn | GitHub
Summary#
- AI/machine learning researcher, Systems architect, and Technology executive
- 20+ years building AI/ML systems, quant strategies, and high-performance software
- Downloads
Core Competencies#
- Causal AI
- Bayesian Modeling
- ML Infrastructure
- Time-Series Forecasting
- Knowledge Graphs
- Distributed Systems / High-performance Computing
- Algo Trading / Quant Finance
- Optimization
- Technical Leadership
3x Startup Founder#
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Causify.AI (2023–present) — Co-Founder & CTO
- Building causal AI platform using Bayesian inference, knowledge graphs, and temporal ML
- Raised $5.4M (Series seed)
- Led $5M fundraising
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June Inc. (2011–2015) — Co-Founder & CTO
- Built quant trading infrastructure: stat-arb, market-neutral strategies
- Raised $4M (Series A)
- Led 8-person team
- Acquired by private company
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ZeroSoft Inc. (2007–2010) — Co-Founder & CTO
- Created HPC simulation technology delivering 3–10x IC-verification speedup
- Raised $2M (Series A)
- Customers: NVIDIA, Intel, Cisco
- Acquired by Synopsys for $24M
Selected Technical Highlights#
- Built full-stack Causal AI platform (graph engine, Bayesian models, temporal ML, explainability)
- Designed simulation technology delivering 3–10x IC-verification speedup
- Developed alpha signal pipelines for large unstructured/alt-data
- Delivered ML trading signals with stable out-of-sample performance
- Deployed predictive signals across global markets
- Created intraday simulators, portfolio optimizers, and low-latency research infrastructure
- Built ML Ops workflows: data pipelines, feature stores, model validation, observability, CI/CD
- Led ML/engineering teams (8–20 people) across startups and quant firms
Experience#
2023–present: Co-Founder & CTO, Causify.AI (USA)
- Built a causal modeling platform using Bayesian inference, knowledge graphs, and temporal ML
- Designed automated pipelines for model building, scoring, and deployment
- Led technical vision, architecture, engineering, and early customer adoption
- Supported $5M fundraising and product strategy to $1M ARR
2023–present: Adjunct Professor, University of Maryland (College Park, MD)
- "DATA605: Big Data Systems" (300 students / year)
- "MSML610: Advanced Machine Learning" (120 students / year)
2023–present: NSF I-Corps Instructor (College Park, USA)
- Train research teams to evaluate markets and develop commercialization paths
- Mentor for UMD Blockchain Accelerator
2021–2022: Portfolio Manager, Engineers Gate (New York City)
- Built ML signals for equities and futures (minute-level horizon)
- Led 2-person research team; deployed models into production trading
2019–2020: CTO, Particle.One (San Jose, CA)
- Built ML models generating predictive commodity signals
- Raised $2.6M from Silicon Valley VCs
- Managed 10-person distributed team; delivered first commercial signals
2015–2019: Head of Alt-Data Group, Teza Technologies (Berkeley, CA)
- Developed ML/alt-data signals for futures, equities, FX, ETFs
- Built distributed pipelines for large-scale feature engineering and model training
- Led team of 12 researchers in Berkeley and Moscow
2011–2015: Co-Founder & CTO, June Inc. (Santa Clara, CA)
- Designed quant strategies: stat-arb, market-neutral, long-short
- Built research stack: Python/R workflows, intraday simulator, portfolio optimizer, custom ML
- Wrote performance-critical C++ simulation components
- Raised $4M (Series A/B); led 8-person team
2010–2011: Senior Member of Technical Staff, Synopsys (Mountain View, CA)
- Integrated ZeroSoft's high-performance simulation engine into Synopsys tools
2007–2010: Co-Founder & VP Engineering, ZeroSoft Inc. (Milpitas, CA)
- Created simulation tech enabling 3–10x faster IC verification
- Built compiler and graph-algorithm pipeline in C++/Verilog
- Raised $2M; customers included NVIDIA and Cisco
- Led 11 engineers
- 2 patents
- Acquired by Synopsys for $24M
2005–2007: Senior Software Architect, NVIDIA (Santa Clara, CA)
- Implemented C++ verification tools for Fermi GPU
- Designed GPU blocks in Verilog and FPGA
2004–2005: Postdoc, University of Illinois (Urbana Champaign, IL)
- Research on fault tolerance and soft errors
2000–2004: PhD, Electrical & Computer Engineering, University of Illinois (Urbana Champaign, IL)
- 20+ publications in microarchitecture, cryptography, and fault tolerance
1995–2000: Master’s in Electrical Engineering, University of Naples (Italy)
- GPA 3.99 / 4.00
- Ranked 1st of 500+ students