Delon Saks
Verified Expert in Engineering
AI Developer
Austin, TX, United States
Toptal member since March 6, 2025
Delon Saks is an AI leader with a proven track record in driving innovation in generative AI and machine learning. He has led high-impact projects across energy, heavy asset industries, eCommerce, and sports. Consulting for major organizations such as the LA Dodgers, Delon develops AI solutions that enhance decision-making. With experience in startups and enterprise AI, he leverages LLMs, RAG systems, and deep learning to deliver business value.
Portfolio
Experience
- Python 3 - 8 years
- FastAPI - 4 years
- Claude - 2 years
- LangChain - 2 years
- AI Chatbots - 2 years
- Retrieval-augmented Generation (RAG) - 2 years
- AI Agents - 2 years
- LlamaIndex - 2 years
Availability
Preferred Environment
MacOS, Python 3
The most amazing...
...project I've worked on was consulting with a national oil company in the UAE to develop subsurface reservoir models for effective CO2 sequestration.
Work Experience
Lead AI Engineer Consultant
Los Angeles Dodgers
- Led the initiative with senior business executives and technical experts to ideate, develop, and deploy the enterprise's first GenAI MVPs, currently used and tested by senior scouts and technical and business personnel.
- Built an agentic RAG system that enables scouts to interact with player data. Fine-tuned bi-encoder and cross-encoder models on domain-specific data.
- Developed and deployed an advanced AI scouting agent that enables advanced insights from structured numerical data.
Senior AI Engineer
Cognite
- Recruited as the 1st data scientist in Cognite's inaugural US office just two months after its founding. Developed innovative solutions for enterprise clients leveraging contextualized data sources, including time series, text, and images.
- Directed data science efforts on the largest project in the US office, working alongside an agile team co-located with a super-major energy company. Managed the project from use case development to successful renewal after 18 months.
- Co-developed an unsupervised machine learning workflow that identifies analogous subsurface designs by integrating global data from six distinct source systems, streamlining the subsurface planning process for a super-major energy company.
- Developed a deep learning workflow utilizing an LSTM autoencoder to identify anomalies in subsurface survey designs using real-time sensor data to reduce non-productive time.
ML Engineer
Tachyus
- Led the optimization process with Tachyus’ three largest enterprise customers through machine learning-assisted reservoir modeling.
- Presented technical development work to senior business stakeholders at large, international client enterprises.
- Co-authored a fourth technical paper, which was published at a recognized industry association.
Senior Subsurface Simulation Engineer
General Electric
- Developed and optimized physics-based reservoir models using subsurface data to support super-major energy companies and national oil corporations.
- Directed the full-field modeling development plan for an independent energy company in China, achieving a reduction of over 15% in water usage across their field.
- Co-authored four published technical papers on subsurface physics-based reservoir modeling.
Experience
MLB Scouting Assistant
Education
Master's Degree in Data Science
University of California, Berkeley - Berkeley, CA, USA
Skills
Libraries/APIs
OpenAI API, React, PyTorch, Scikit-learn, TensorFlow, PySpark
Tools
Claude, DeepSeek
Languages
Python 3, Python, R
Frameworks
LlamaIndex
Platforms
Docker, MacOS, Databricks, Azure, Amazon Web Services (AWS)
Other
Qdrant, Amazon Bedrock, AI Agents, AI Chatbots, Retrieval-augmented Generation (RAG), OpenAI, Anthropic, Natural Language Processing (NLP), Time Series, Data, FastAPI, Large Language Models (LLMs), Artificial Intelligence (AI), Llama, Agentic AI, Time Series Forecasting, Generative Artificial Intelligence (GenAI), LangChain, Hugging Face, Data Science, Statistics, Machine Learning, Modeling, Physics, Computer Vision
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