The Neural Horn
Lead product engineer
2026 – Now
Designing and building Caelis, Takeover and other hotel software for The Neural Horn.
Milan Patel · [email protected] · linkedin.com/in/milanpatel72 · github.com/milanpatel98 · x.com/milanpatel72
Lead product engineer
2026 – Now
Designing and building Caelis, Takeover and other hotel software for The Neural Horn.
Business Analyst
Jun 2025 – Jun 2026
Ran financial reporting and the purchase-order lifecycle, and used SAP and Power BI to turn operating data into insights for day-to-day decisions.
Business Analyst Intern
Oct 2024 – Jun 2025
Analyzed business processes, ran stakeholder meetings and supported improvements with structured reporting and operational analysis.
Data Administrator
Sep – Dec 2024
Managed databases, kept the data accurate and produced reports shared across departments to support decisions.
Scan the back of any ID at the front desk — everything filled in, in three seconds.
Hotel & motel takeover platform: handover checklists, schedules, timecards and a staff Punch In app.
Real-time card fraud scoring that explains every decline.
Research platform using fine-tuned language models to spot early signs of depression and anxiety in everyday conversation.
Ask a patient’s chart a question; every sentence of the answer cites the record it came from.
A code-repair agent with a benchmark that catches cheating.
Raft consensus in Go, checked by a deterministic simulator that tries to break it.
Live captions that run on your device and learn your voice from your corrections.
Live NBA scores with each team’s chance to win, play by play, and the calls the refs got wrong.
Work-hours app: clock in and out, daily log, tasks, reminders and printable payroll timesheets. Installs on a phone.
Interactive 3D property map for a hotel: enter a room or tap an amenity to get a route and step-by-step directions. Works offline as a single file.
Bilingual English and Spanish website for a motel in Escondido, California, built with accessibility in mind.
Deep learning (CNN + Random Forest) for efficient, reliable 5G network slicing, trained and evaluated on the CRAWDAD dataset.
Personal 3D portfolio with an animated character, built with React Three Fiber and GSAP.
Doctor of Business Administration (in progress)
Oct 2026 – Now
Concentration in Applied Computer Science.
M.S. Computer Science
2021 – 2024
Conferred May 2024. Studied machine learning, data science, database systems and software engineering. Thesis: DeepSlice, deep learning (CNN + Random Forest) for efficient, reliable 5G network slicing.
B.Tech Computer Engineering
2015 – 2019
Undergraduate degree in computer engineering.