Matthew Landers
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Experience
Code
CV
Notes
About these notes
Glossary
Pseudocode
About RL
MDPs
Value Func. & Policies
DP for MDPs
DP for MDPs Proofs
Model-Free Prediction
Prediction with Approx.
Model-Free Control
On-Policy Control
with Approximation
Off-Policy Control
with Approximation
Importance Sampling
Learnability of
RL Objectives
The Deadly Triad
Deep Q-Learning
Policy Gradients
Actor-Critic Framework
DPG & DDPG
Reparameterization Trick
Soft Actor-Critic
Group Relative Policy
Optimization
Transformer
TRPO
Conjugate Gradient Method
PPO
Double Q-Learning
TD3
NN Verification
DRL Verification
AlphaZero (chess)
Bayes’ for Distributions
Backpropagation
Off-Policy Evaluation
Constrained MDPs
Constrained Policy 
Optimization
PID Lagrangian
Successor Features
Policy Distillation
KL Divergence
Implicit Q-Learning

Industry Experience

Stride Consulting | Senior Software Engineer | 2017 – 2019

Client: Schonfeld Strategic Advisors | Hedge Fund

  • Built stateless Python services and stateful Java services to efficiently process billions of dollars in trades

  • Improved system latency from 1.1 seconds to 15 milliseconds and reduced system recovery time from 2 hours to less than 5 minutes by changing data transfer method from HTTP to Kafka

Client: Peloton Interactive | Connected Fitness Platform

  • Led development of payment processing and order fulfillment tools for Australian launch

  • Designed and implemented an approach to facilitate communication with new Enterprise Resource Planner

Client: Magnetic | Advertising Management Platform

  • Rebuilt core platform growing monthly recurring revenue from $1,000,000 to $6,000,000

  • Engineered Python microservices that allowed users to manage each component of an online advertisement including audience definition, budget selection, and media creation

  • Built microservices that published advertisements to 7 different networks

Human API | Software Engineer | 2016 – 2017

  • Worked with data science and product teams to build integration solutions for 40+ customers

  • Engineered custom products for 30+ clients including a user health timeline for Samsung

  • Devised a partnership plan with executives from Merck Germany

Stonecrysus | Co-founder & CEO | 2013 – 2016

  • Developed a machine learning health platform that earned 4 United States patents

  • Worked with an electrical engineering and design firm in Taiwan to manufacture a proprietary fitness wearable

  • Presented 3 times to groups of 300+ people, including CES

  • Negotiated with organizations such as Samsung, Amazon, and the US Olympic Committee

  • Designed and built a web platform that allowed health practitioners to access and analyze patient data

Synduit | Co-founder & President | 2012 – 2013

  • Grew monthly recurring revenue from $0 to $100,000+ in less than 1 year with a team of 2 people

  • Drove profit margin to 80% by overseeing the construction of a machine learning-based automation platform

  • Managed 12 employee team while building client base to 120+ businesses