NEW: The Decision Factory — a novel about decisions under uncertainty. Foreword by Warren B. Powell, Princeton University. Get it on Amazon
Applied Operations Research

Adam DeJans Jr.

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A decade of designing and deploying large-scale optimization & simulation systems that drive $60B+ in planning decisions.

Adam DeJans Jr.
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Trusted by industry leaders
AmazonAmazon
BoeingBoeing
U.S. ArmyU.S. Army
Gurobi OptimizationGurobi
ToyotaToyota
FordFord
Department of DefenseDept. of Defense
Stellantis / FCAFCA / Chrysler
Infosys ConsultingInfosys Consulting
Bit Bros LLCBit Bros LLC
LeetCodeLeetCode
MarpossMarposs
CaltechCaltech
University of EdinburghEdinburgh
LokadLokad
Oakland UniversityOakland U
Auto-Owners InsuranceAuto-Owners
AmazonAmazon
BoeingBoeing
U.S. ArmyU.S. Army
Gurobi OptimizationGurobi
ToyotaToyota
FordFord
Department of DefenseDept. of Defense
Stellantis / FCAFCA / Chrysler
Infosys ConsultingInfosys Consulting
Bit Bros LLCBit Bros LLC
LeetCodeLeetCode
MarpossMarposs
CaltechCaltech
University of EdinburghEdinburgh
LokadLokad
Oakland UniversityOakland U
Auto-Owners InsuranceAuto-Owners

About Me

Applied operations research scientist with over a decade of experience designing and deploying large-scale optimization and simulation systems in production environments. Former D1 student-athlete turned mathematician turned decision scientist — with a contrarian, practitioner-first approach to decisions under uncertainty.

Expertise in mixed-integer programming, stochastic modeling, decomposition methods, and algorithm design for supply chain and logistics applications. Not interested in models that live in notebooks — only systems that ship and drive real outcomes.

Led end-to-end development of decision systems impacting $60B+ in annual planning decisions, including production planning, vehicle routing, scheduling, and demand-supply matching.

Co-founder of Bit Bros LLC with John Elam, where I author books, consult on decision intelligence, and design career programs for the next generation of data professionals. Former Data Content Lead at LeetCode, and advising a stealth startup in the optimization space.

Optimization

MILP, Stochastic, Decomposition, Heuristics & Metaheuristics

Published Author

4 books including best sellers in MILP Optimization

Co-Founder

Bit Bros LLC — Decision intelligence consulting & publishing

LeetCode Lead

100+ problems published, shaping AI & DS education for millions

Patent Holder

Dynamic programming-based route optimization (US20210133643A1)

Production Systems

Enterprise-grade cloud deployments at scale

The world doesn't need another dashboard. It needs decision systems that embrace uncertainty, run in production, and make money while you sleep. I build those.

What I'm Up To

status.log
Writing Book #5Supply chain optimization handbook
Decision ArenaInteractive decision-making platform by Bit Bros
DecisionCAMP 2026Panel — Decision Intelligence Technologies · Aug 2026
Stealth Startup AdvisorEarly-stage AI company
Gurobi — TAMScaling production optimization systems for enterprise
เรียนภาษาไทยLearning Thai language — อ่านและเขียนภาษาไทยได้นิดหน่อย 🇹🇭

What People Say

Experience

Technical Account Manager

Gurobi Optimization Beaverton, OR

Aug 2025 – Present

Customer-Facing Optimization Engineering

  • Advanced MILP Diagnostics: Led deep technical investigations of branch-and-bound search behavior, cut generation, LP relaxations, and numerical conditioning. Identified formulation pathologies and redesigned models to reduce integrality gaps, eliminate symmetry, and improve convergence.
  • Algorithmic Scaling: Re-architected large-scale optimization models using decomposition, reformulation, and symmetry-breaking techniques. Enabled 2–5× instance growth while maintaining numerical stability.
  • Performance Engineering: Delivered 30–70% runtime reductions through structured solver tuning workflows including concurrent MIP strategies, presolve control, cut management, and memory optimization.
  • Optimization System Architecture: Advised engineering teams on designing scalable optimization pipelines, helping teams transition from prototype notebooks to production-grade decision systems.

Co-Founder, Author & Tech Strategist

Bit Bros LLC

Jun 2023 – Present
Founder

AI-Powered, Human-Centered Decisions

  • Authored the MILP Optimization Handbooks series — consistent best sellers in optimization.
  • Co-authored "The Decision Factory" — a novel on decisions under uncertainty, featuring a foreword by Warren Powell.
  • Co-authored "You Got the Data Job… Now What?" with John Elam — a guide to accelerating data science careers and stepping into leadership.
  • Built the Decision Arena — an interactive game that brings decision-making under uncertainty to life.
  • Consulting on decision intelligence strategy for organizations adopting optimization and AI.
  • Designed career programs and community learning models that help professionals transition into top roles.

LeetCode

Remote

Aug 2023 – Nov 2025
Promoted

Data Content Lead

2024 – Nov 2025

AI & Data Science Education

  • Orchestrated world-class data content and structured learning paths for millions of developers.
  • Published 100+ problems and solutions in AI, data science, and algorithms, making LeetCode a go-to interview resource for AI and DS professionals.

Solution Author

Aug 2023 – 2024

Content Development

  • Authored high-quality solutions and editorial content for data science and algorithm problems across the platform.

Toyota North America

Plano, TX

Aug 2022 – Aug 2025
Promoted

Data Science Lead, Digital Innovations

May 2025 – Aug 2025

AI Transformation & Decision Intelligence

  • Handpicked to lead Toyota's AI transformation across North America with a mandate to scale globally.
  • Architected Toyota's enterprise decision intelligence framework: integrating optimization, simulation, and probabilistic forecasting into global operations.
  • Championed a culture shift from data dashboards to decision-centric systems, empowering teams to act, not just analyze.

Principal Decision Scientist II

Aug 2022 – May 2025

Supply Chain & Fulfillment

  • Supply Allocation Optimization: Designed Toyota's North American supply allocation engine using MILP in Gurobi, directly impacting $60B in decisions and increasing production by 40,000 vehicles, yielding $390M in additional profit.
  • GenAI-Powered Scheduling: Integrated LLMs into production line scheduling optimizer, reducing diagnostic time by 40% and accelerating scenario analysis from hours to minutes across 15+ planners.
  • Automated Vehicle Ordering: Built ordering recommendation engine leveraging tree-based regression + MILP optimization, increasing profit by $64M.
  • Accessories Recommendation: Customer segmentation model optimizing $700M in inventory, increasing profits by $42M.

Senior AI Consultant

Infosys Consulting Lisle, IL

Sep 2021 – Aug 2022

AI & Automation

  • Package Delivery ETA: Designed real-time AI-driven logistics system using deep learning (TensorFlow) on Azure, processing 300M+ data points daily with a wide & deep architecture trained on billions of records.
  • Expedited Shipping: Developed a custom heuristic leveraging ETA predictions with real-time logistics data, cost considerations, and SLA constraints to minimize late deliveries.

Ford Motor Company

Dearborn, MI

Aug 2018 – Sep 2021
Promoted

Data Scientist

2020 – Sep 2021

Autonomous Vehicles & Smart Mobility

  • Vehicle Fleet Simulation: Led development of a discrete event simulation tool achieving a 27% fleet size reduction while ensuring service reliability.
  • Vehicle Routing: Developed VRP algorithms for ride-hail, shuttle, grocery delivery, and medical transport, successfully scheduling over 300,000 trips.

Operations Research / Data Scientist

Aug 2018 – 2020

Smart Mobility & Logistics

  • Point-to-Point Mobility: Invented and patented a dynamic programming-based route optimization algorithm (US20210133643A1), deployed as an Android application for multimodal route planning.

AI/ML Bootcamp Instructor

Simplilearn (Caltech Partnership)

Nov 2023 – Jan 2024
  • Partnered with Caltech to deliver advanced AI/ML training, equipping professionals with industry-ready skills.

Software Engineer & Data Analyst

Marposs Corporation Auburn Hills, MI

Feb 2017 – Aug 2018
  • Automated Report Generation: Developed a text-mining automation tool using Python (NLTK, Pandas, Flask), reducing manual report generation time by 30%.

Mathematics Lecturer

Oakland University Rochester, MI

Sep 2016 – May 2018
  • Taught mathematics courses while pursuing M.Sc. in Industrial Applied Mathematics.

Books & Publications

Published under Bit Bros LLC

The Decision Factory book cover
2026 · Latest Release

The Decision Factory

A novel about decisions under uncertainty, with a foreword by Warren B. Powell, Professor Emeritus at Princeton University. Featured on the CASTLE Lab research page.

Best Seller — Stochastic Optimization View on Amazon

Research

Oakland University — w/ Dr. Serge Kruk

On the Automated Discovery of Facet Inducing Inequalities

Combinatorial optimization · Convex hull · Fourier-Motzkin algorithm · Constraint programming

Patents

Ford Motor Company

Dynamic programming-based route optimization algorithm — US20210133643A1

Notable Endorsement

Featured by Warren B. Powell, Professor Emeritus of Operations Research at Princeton University, as a collaborator in supply chain optimization at Toyota. Powell wrote the foreword for The Decision Factory and references the book on his CASTLE Lab research page .

Speaking & Media

Conferences & Lectures

DecisionCAMP 2026 — Panelist Upcoming · Aug 2026
Guest Lecturer — Decision Science & Optimization U of Edinburgh
AI/ML Bootcamp Instructor Caltech × Simplilearn
Graduate Alumni Career Day — Invited Speaker Oakland University · Apr 2023

Technical Skills

Supply Chain & Decision Science

Vehicle Routing (VRP)Production Planning SchedulingInventory Optimization Decision IntelligencePrescriptive Analytics Demand Forecasting Supply-Demand Matching Facility Location Bin Packing Assignment Problems Digital Twins What-If / Scenario Analysis

Languages & ML

PythonJavaSQLC++ scikit-learnTensorFlowPyTorch R Julia XGBoost LightGBM Time Series Forecasting NLP (spaCy, NLTK) Bayesian Methods Reinforcement Learning

Infrastructure & Tools

DatabricksAzure MLAWS SageMaker DockerSparkPostgreSQL Kafka Airflow Kubernetes Snowflake Terraform Flask FastAPI Dash Streamlit Plotly PowerBI

Honors & Awards

Growth Award Toyota North America 2023
Recognition Award ×3 Ford Motor Company 2019 – 2021
HackWSU — 3rd Place Wayne State University 2017
Froemke Scholarship Oakland University 2016
Magna Cum Laude Oakland University 2016
Dean's List — Every Semester Oakland University 2011 – 2016
VP — Mathematical Association MAA / Oakland University 2014 – 2016
D1 Track & Field — Thrower NCAA / Oakland University 2012 – 2014

Education & Certifications

Oakland University

M.Sc. Industrial Applied Mathematics

Oakland University, Rochester, MI

Specialization: Discrete Mathematics (Optimization & Computer Science)

Research: Combinatorial optimization & polyhedral theory w/ Dr. Serge Kruk

GPA: 3.9 / 4.0

August 2018
Oakland University

B.Sc. Mathematics

Oakland University, Rochester, MI

GPA: 3.89 / 4.0 · Magna Cum Laude

April 2016

Certifications Credly View all on Credly

AWS AWS Machine Learning — Specialty
Microsoft Microsoft Azure AI Fundamentals
Oracle Oracle Certified — Java SE 8 Programmer
AWS AWS Cloud Practitioner
Microsoft Microsoft Azure Data Fundamentals
AWS AWS Solutions Architect
Udacity Udacity — AI Nanodegree
Udacity Udacity — Java Web Developer Nanodegree

Get In Touch

Interested in optimization consulting, speaking, or collaboration? Let's connect.

Based in Detroit Metropolitan Area