Summary
Overview
Work History
Education
Skills
Certification
Recent Projects
Languages
Generic
Wiliam Rich

Wiliam Rich

Johannesburg

Summary

I am an accomplished Al Engineer with a proven track record of delivering innovative data-driven solutions. The drive in my career has been to promote innovation and adoption of advanced analytical solutions in various industries.

Overview

8
8
years of professional experience

Work History

Al Engineer & Innovation Leader

Deloitte Africa
01.2016 - Current
  • Comprehensive experience in building analytics and machine learning pipelines to solve complex business problems
  • Leader of the Highly Experimental Unit, a team focusing on bridging the gap between Al research and real-world problem-solving through high-risk experiments for clients
  • Considered as a subject matter expert in Al and Python in the Deloitte analytics community
  • Led workshops for internal and external clients, assisting them in brainstorming and planning how Generative Al should be used to evolve their respective businesses
  • Owner and maintainer of Deloitte's Al Python SDKs used for Anomaly Detection and Semi-supervised learning.

Education

MSc Computer Science (Distinction) -

University of Witwatersrand
01.2021

BEng Industrial Engineering (Distinction) -

University of Pretoria
01.2013

Skills

  • Innovation
  • Critical Thinking
  • Problem Solving
  • Machine Learning
  • Computer Vision
  • Reinforcement Learning
  • Semi-supervised Learning
  • NLP/NLG/LLMs
  • Spark/Pyspark
  • Pytorch, Langchain, Sklearn
  • Linux
  • CI/CD, Gitlab
  • Docker & Kubeflow
  • Azure, AWS, GCP
  • Stakeholder Management
  • Project Management
  • Collaboration Skills

Certification

  • AWS - Certified Cloud Practitioner
  • AWS - Machine Learning Speciality
  • University of Alberta - Reinforcement Learning Specialization

Recent Projects

  • Inventory Management with Reinforcement Learning, Design and implementation of a system that optimizes the scheduling, manufacture, and distribution of a single product. The solution saves the client $10k per month and enables them to simulate further scenarios to plan for the future development of their supply chain (PyTorch, Pygame).
  • Report Automation with NLG, Built a system that automates report writing of findings from fraud investigations at a major Telecommunications client. The tool saves the client thousands of hours per month (LLMs, Langchain, Azure OpenAI, PySpark).
  • Trained a model on a corpus of legal documents to act as a compliance assistant. The solution performs a variety of tasks, including vetting whether or not a contract meets legal requirements and answering questions about legislation (LLMs, Langchain, Azure OpenAI).
  • Predictive Maintenance, Supervised learning pipeline to monitor the operational performance of hundreds of trucks at a large mining company. The system is able to detect early warning signals of imminent machine failure, mitigating the risk of critical breakdowns, saving the client $100,000+ per month (PySpark, Scikit-Learn, Power BI).

Languages

English
Wiliam Rich