Independent — The Neural Horn
Founder & engineer
2026 – Now
Building Caelis, Takeover and other hotel software under my studio, The Neural Horn.
Milan Patel · me@milan.us · linkedin.com/in/milanpatel72 · github.com/milanpatel98
Founder & engineer
2026 – Now
Building Caelis, Takeover and other hotel software under my studio, 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.
Research platform using fine-tuned language models to spot early signs of depression and anxiety in everyday conversation.
Ask a patient’s FHIR record a question; every sentence of the answer cites its source record, and a checker confirms the numbers and dates match. On 100 real de-identified hospital patients it answers 97.2% of held-out questions correctly, against 65.8% for top-20 retrieval search.
Real-time card fraud scoring that explains every decline. One feature engine serves both training and scoring so features cannot drift, and logistic regression in numpy gives exact per-feature reasons: 88% of fraud caught while reviewing 0.5% of traffic, scoring a payment in 8 µs.
A code-repair agent with a benchmark that catches cheating. Hidden tests, tamper detection, a prompt-injection trap and a scripted adversary that must score zero: 13 of 13 reference fixes solved, the adversary 0 of 13 with 39 blocked cheat attempts.
Raft consensus in Go, checked by a deterministic simulator that tries to break it. Seeded partitions, crashes and lost, duplicated or reordered messages, with a hand-written linearizability checker: 2,000 seeded runs per build, 43,410 injected faults, zero broken invariants.
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.
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.