Alan J. Nawoj

Alan J. Nawoj

Engineer, tech startup founder, and independent researcher in optimization, embedded systems, and machine learning.
San Diego, CA.

About

I am an engineer and entrepreneur with an interest in applied machine learning, wearable electronic devices, and mathematical optimization as they relate to human health and athletic performance. I spent more than two decades building software and hardware systems, most recently as founder and CEO of Beacon Mobile, an automotive IoT and mobile technology company that I bootstrapped from the start to an ultimate acquisition by Vontier Corporation (NYSE: VNT). My educational background includes an M.S. in Computer Science from Harvard and a B.S. in Electrical and Computer Engineering from Cornell.

I am now returning to academia to deepen my knowledge of the theoretical and applied aspects of embedded systems, optimization, and machine learning. My current interests span several areas within EE and math, but I have a particular interest in how optimization techniques and adaptive machine learning models can be synthesized directly into low-power embedded firmware to predict physiological degradation, optimize metabolic output, and prevent athletic injuries in real time.

Selected Research & Academic Projects

Momentum-Based Variance Reduction in Non-Convex SGD

UCSD ECE 273 · 2026

Independent Review and Enhancement of the STOchastic Recursive Momentum (STORM) Algorithm

  • Analyzed convergence bounds for non-convex stochastic gradient descent, focusing on STORM and its use of momentum for variance reduction.
  • Hypothesized that STORM converges slower when large gradients occur early in a run, and tested this by adding an exponential forgetting factor (EFF) to the denominator of its adaptive learning rate.
  • Extended the idea to a time-varying EFF. In Python simulations on a standard non-convex benchmark, the variant consistently reached a given epsilon stopping threshold faster than the original algorithm.

View report (PDF) · View presentation slides (PDF)

Binomial Distribution Computation in R

UCSD Math 189 · 2026

Mathematical and source-code audit

  • Traced how R computes binomial probabilities accurately across very large sample sizes despite factorial overflow and floating-point limits.
  • Derived the probability mass function logic step by step, showing how Stirling's approximation and its error term, computed via an asymptotic series, resolve the numerical problems.

View report (PDF)

Experience

Founder & CEO / System Architect, Beacon Mobile LLC

2009 – 2025

San Diego, CA · Acquired by Vontier Corporation (NYSE: VNT)

  • Solo-founded and bootstrapped an automotive IoT and mobile software platform; scaled the backend to millions of transactions across three continents for large enterprise brands.
  • Sole system architect for the full hardware and software stack, personally writing over 600,000 lines of code across embedded firmware, AWS microservices, and iOS, Android, and web clients.
  • Designed and deployed hundreds of custom microcontroller-based IoT devices with industrial sensors and I/O, interfacing with disparate legacy equipment.
  • Filed US patent application as sole inventor for an edge-computing method that uses connected-car telemetry to manage car wash memberships.
  • Directed global corporate scaling strategy and vision, legal, marketing, full P&L management, and cross-functional engineering teams. Authored complex technical onboarding videos to preserve operational continuity post-acquisition by Vontier Corporation (NYSE: VNT), an international leader in automotive technology.

Software Architect / Technical Team Lead, Charles River Development

2009 – 2015

Burlington, MA

  • Managed two engineering teams for a leading FinTech software and analytics firm. Developed core, high-performance algorithms in Java and C# based on advanced mathematical frameworks, including Principal Component Analysis (PCA), to accurately assess and model portfolio risk profiles for global financial institutions. Successfully led and completed large-scale refactoring effort of Ex-Ante Risk code base to parallelize computations for large data sets and matrices. Developed internal tool (named "Agility") to enhance team productivity.

Software Architect / Technology Lead, Deloitte Consulting

2004 – 2009

Boston, MA

  • Architected custom Java and C# web applications for high-profile public sector clients in the United States and South Africa. Managed cross-functional engineering teams, wrote core system source code, and established foundational, reusable development frameworks utilized across subsequent large-scale organizational projects. Presented final report for one project to the Lt. Governor of Massachusetts (Kerry Healey). Beyond engineering, championed regional culture by organizing the "TI Olympics," a Northeast-wide corporate team-bonding event.

Associate / Software Engineer, Booz Allen Hamilton

2001 – 2003

Rome, NY

  • Developed high-performance code in C for a custom data aggregation and analysis application used by multiple US defense intelligence agencies. Conducted research on the DARPA Agent Markup Language (DAML) and served as primary author on an Air Force Research Laboratory (AFRL) Technical Report summarizing this research. Attended 2003 DAML Principal Investigator (PI) Meeting in Miami with various university researchers to discuss current research findings. Maintained an active Top Secret Security Clearance.

Education

Harvard University

2004

M.S. in Computer Science (GPA 3.79/4.00)

Cornell University

2001

B.S. in Electrical and Computer Engineering (GPA 4.02/4.30), Summa Cum Laude
Honors: Tau Beta Pi Engineering Honor Society, Eta Kappa Nu Electrical Engineering Honor Society

Continuing Education & Certifications

University of California, San Diego

2026

ECE 273 Convex Optimization (Final Grade: A)
Math 189 Data Analysis & Inference (Final Grade: A+)

Coursera / DeepLearning.AI / Stanford Online

2025

Machine Learning Specialization Certification (3 courses)

Publications & Patents

Athletics

Contact

alan@nawoj.org · San Diego, California