MS Computer Science • AI/ML + Full-Stack

Building AI + Full-Stack systems with a research mindset.

Thesis focused on anomaly detection for deepfake facial images. I build ML pipelines, dashboards, and production-ready web apps — with strong experimentation and engineering.

1
Publication
6+
Projects
2+
Years Experience
638K+
Records Analyzed
Mili Patel

About Me

I’m Mili Patel — building AI systems that don’t break when the world changes, and shipping full-stack products that make those systems usable.

Research-first engineering

I treat deepfake detection as anomaly detection — not just classification.

My thesis focuses on detecting deepfake facial images under real-world distribution shifts (new manipulations, unseen datasets, changing lighting, compression artifacts, and model drift). That means I care about robustness, calibration, and decision boundaries — not just accuracy on a single benchmark.

Alongside research, I build production-grade systems: clean UI, fast APIs, evaluation dashboards, and reproducible pipelines. I like work where machine learning meets engineering — the part where results become tools.

AI/ML + Vision
OOD detection, deepfakes, calibration, pipelines.
Full-Stack
Next.js apps, APIs, dashboards, deployments.
Anomaly DetectionDeepfake ForensicsOOD / Distribution ShiftExperiment TrackingDashboardsProduction ML
What I’m building now
Robust deepfake anomaly detection pipeline

Training on clean splits, validating with controlled OOD sets, and testing against unseen manipulation methods — with score analysis + dashboarding for model behavior.

Research
Thesis Track
Full-Stack
Product Mindset
ML + CV
Primary Focus
UNT
MS CS
Background
  • MS Computer Science @ University of North Texas (Thesis).
  • Teaching / mentoring mindset — I enjoy making complex topics clear.
  • I build projects that can be demoed, measured, and shipped.
My principle

If it can’t be evaluated, monitored, and explained — it isn’t done.

Education

Academic foundation in AI, machine learning, and systems.

In Progress
Master of Science
Computer Science
University of North Texas
Denton, TX, USA
2024 – 2026 (Expected)
  • Thesis: Anomaly Detection for Deepfake Facial Images
  • Focus: Machine Learning, Computer Vision, AI Systems
RELEVANT COURSEWORK
Machine LearningDeep LearningComputer VisionData MiningNLPAdvanced Algorithms
Completed
Bachelor of Technology
Computer Science & Engineering
Institute of Technology, Nirma University
Ahmedabad, India
2020 – 2024
  • GPA: 3.14 / 4.0
  • Coursework: Data Structures, Machine Learning, Computer Vision
RELEVANT COURSEWORK
Data StructuresAlgorithmsDBMSOperating SystemsComputer NetworksAI/ML Foundations

Projects Showcase

Full-stack builds, ML research, dashboards, and edge projects — all in one place.

Flagship (Thesis)

Anomaly Detection for Deepfake Facial Images (Master’s Thesis)

University of North Texas • 2024 – 2026 (Expected)

Research-driven anomaly/OOD detection for deepfake facial images under distribution shift — beyond closed-set classification.

  • Focus on distribution shift and generalization across manipulation types.
  • Build reproducible pipeline + robust evaluation + demo-ready web app.
  • Analyze model behavior using OOD signals and calibration-style insights.
Research pipeline + demo-ready app
PythonPyTorch/TensorFlowComputer VisionOOD/AnomalyNext.jsDashboards
Full-Stack

Smart Inventory Management System

University of North Texas • Apr 2025 – May 2025

Real-time retail dashboard with alerts, email notifications, and exports.

Real-time dashboard + automated alerts
  • Full-stack solution (Streamlit + MySQL) with real-time dashboards and low-stock alerts.
  • Designed normalized schemas with indexes/triggers; role-based access control.
  • Enabled exports to Excel/PDF and email notifications.
PythonStreamlitMySQLSQLEmail NotificationsData Modeling
Data/BI

AI-Driven Crime Pattern Analysis

University of North Texas • Mar 2025 – Apr 2025

Large-scale crime analytics with dashboards for hotspots, trends, and outcomes.

638K+ records analyzed
  • Analyzed 638,000+ U.S. crime records; built Tableau/Power BI dashboards.
  • Cleaned + modeled data in Python to extract state/weapon/demographic insights.
  • Delivered visual insights for final presentation and decision-making.
PythonData CleaningPower BITableauAnalyticsVisualization
Edge/Hardware

Smart Attendance System

University of North Texas • Jan 2025 – Apr 2025

Raspberry Pi + OpenCV pipeline for real-time face recognition and attendance automation.

Real-time recognition on edge
  • Built real-time facial recognition pipeline using Raspberry Pi + OpenCV.
  • Processed live classroom feeds; optimized for low latency.
  • Added engagement-style metrics to enhance reporting.
Raspberry PiOpenCVPythonComputer VisionEdge Deployment
Edge/Hardware

AI-Based Object Detection on FPGA (Funded Project – ISRO)

Ahmedabad (Funded Project) • Aug 2023 – Dec 2023

YOLOv3 inference optimization on PYNQ FPGA for lower latency object detection.

30% lower latency • 40% better sync
  • Implemented YOLOv3 inference on PYNQ FPGA, reducing end-to-end latency by 30%.
  • Designed Raspberry Pi + motor-controller network; improved synchronization by 40%.
  • Optimized hardware–software integration for real-time performance.
YOLOv3PYNQ FPGARaspberry PiPython/C++Edge AIEmbedded
Hackathon

MineD Hackathon — Journal Rejection Predictor

Nirma University • Mar 2023

ML model to flag likely journal rejections + Streamlit prototype for formatting issues.

35% fewer manual revisions
  • Built classifier (Random Forest / Logistic Regression) to flag likely rejections.
  • Reduced manual revisions by ~35% via early rejection prediction.
  • Shipped Streamlit prototype highlighting formatting issues in real time.
PythonScikit-learnRandom ForestLogRegStreamlit
Hackathon

HackInfinity — Real-Time Captioning & Translation (EdTech)

DA-IICT, Gandhinagar • Feb 2023

Captioning tool for accessibility with live speech-to-text + multilingual translation.

Accessibility-first EdTech demo
  • Designed accessibility-focused captioning for hearing/language impairments.
  • Integrated speech-to-text + multilingual translation for live support.
  • Used OpenCV + TensorFlow components to support real-time flow.
OpenCVTensorFlowSpeech-to-TextTranslationPython

Skills & Expertise

A curated view of the tools I use to build ML systems and full-stack products.

Machine Learning & AI
Deep learning, anomaly/OOD, and applied CV research
Advanced
PyTorch
Advanced
TensorFlow
Advanced
Scikit-learn
Advanced
Computer Vision
Advanced
OOD / Anomaly Detection
Advanced
Deep Learning
Advanced
NLP / LLM basics
Intermediate
Data Science & Analytics
Cleaning, modeling, dashboards & insights
Advanced
Data Structures and Algorithms
Advanced
Feature Engineering
Advanced
SQL Analytics
Advanced
Visualization
Advanced
Tableau
Intermediate
Power BI
Intermediate
Programming Languages
Used across ML + systems + full-stack
Advanced
Python
Expert
SQL
Advanced
Java
Intermediate
C++
Intermediate
JavaScript / TypeScript
Intermediate
Web / Frameworks
APIs, UI, and product delivery
Advanced
Next.js (App Router)
Advanced
React
Advanced
FastAPI
Advanced
Flask
Advanced
Django
Intermediate
REST APIs
Advanced
Node.js
Intermediate
Tailwind CSS
Advanced
Cloud / DevOps
Deployments, containers, infra basics
Intermediate
Cloud Computing (fundamentals)
Intermediate
AWS (basics)
Intermediate
Docker
Intermediate
Linux
Advanced
CI/CD basics
Intermediate
GitHub Actions (basic)
Intermediate
Databases
Relational + NoSQL
Advanced
PostgreSQL
Advanced
MySQL
Advanced
MongoDB
Intermediate
Cassandra
Intermediate
Blockchain
Concepts + project experience
Intermediate
Blockchain fundamentals
Intermediate
Smart contracts (basic)
Intermediate
Web3 tooling (basic)
Intermediate
Python GUI / Desktop
Building interactive interfaces
Intermediate
Tkinter
Intermediate
PyQt
Intermediate
PySide (basic)
Intermediate
Testing / Automation
QA + scripting workflows
Intermediate
Selenium
Intermediate
Automation scripting
Intermediate
Tools / Platforms
Daily engineering toolkit
Advanced
Git / GitHub
Advanced
Jupyter
Advanced
VS Code
Advanced
Security / Reliability
Practical safety + robustness habits
Intermediate
Secure coding basics
Intermediate
Logging/monitoring basics
Intermediate
Model robustness thinking
Intermediate
Collaboration
Working clean with teams
Advanced
Code reviews
Advanced
Issue/PR workflows
Advanced
Documentation
Advanced

Experience Journey

A timeline of my roles — teaching, internships, leadership, and hands-on engineering work.

Teaching Assistant / Instructional Assistant — CSCE 4010 (Social Issues in Computing)
University of North Texas
Denton, TX Spring 2026 — Present
  • Assist course delivery under Dr. Moawia Eldow (CSCE 4010).
  • Support students through guidance, clarifying concepts, and feedback.
  • Help with grading, rubrics, and maintaining consistent evaluation.
TeachingMentoringGradingCS Education
Teaching Assistant / Instructional Assistant — CSCE 4010 (Social Issues in Computing)
University of North Texas
Denton, TX Fall 2025
  • Graded assignments/discussion work and supported course operations.
  • Helped students navigate course requirements and improved submissions via feedback.
  • Contributed to smooth course logistics and timely communication.
TeachingEvaluationCommunication
Summer Camp Computing Instructor
University of North Texas
Denton, TX May 2025 – Jun 2025
  • Taught middle & high school students programming fundamentals using Python and embedded systems.
  • Designed hands-on lessons touching AI, robotics, and hardware programming.
  • Worked with staff to deliver a smooth 6-week learning experience.
PythonRoboticsEmbeddedInstruction
Research & Development Intern
Space Applications Centre (SAC), ISRO
Ahmedabad, India Jan 2024 – May 2024
  • Developed a GUI for a Stewart-platform telescope to capture high-resolution galaxy images.
  • Designed a network topology using Raspberry Pi + motor controllers; improved synchronization by ~40%.
  • Built automation scripts for motor control to strengthen hardware–software integration.
Raspberry PiAutomationGUISystems
Software Development Intern (Remote)
Vas Ventures Pvt. Ltd.
Remote Jun 2023 – Jul 2023
  • Built a Tkinter GUI to automate bulk WhatsApp messaging; reduced manual effort by ~80%.
  • Applied ML models in CallAstro to predict marriage status using web-scraped data (~85% accuracy).
  • Automated testing with Selenium; reduced bug-detection time by ~60%.
TkinterSeleniumMLAutomation
Vice President — ACES (Association of Computer Engineering Students)
Nirma University
Ahmedabad, India 2023 – 2024
  • Led ACES activities and coordinated student teams to deliver technical events and workshops.
  • Collaborated with faculty and peers to execute department-level programs and student engagement initiatives.
  • Mentored junior students and supported community-driven learning and collaboration.
LeadershipCommunityEvent ManagementMentoring
View LinkedIn post

Research & Publications

Peer-reviewed work and research contributions — plus my ongoing thesis work in deepfake anomaly detection.

Master’s Thesis — Deepfake Anomaly Detection

Detecting deepfake facial images under distribution shift using anomaly/OOD signals — with robust evaluation and behavior analysis.

In Progress
Goal
Robust deepfake detection beyond closed-set classification.
Method
OOD scoring, calibration analysis, and distribution-shift evaluation.
Output
Reproducible pipeline + metrics dashboard + demo-ready app.
PublishedSpringerDOI: 10.1007/s11831-025-10298-5

Advancements and Challenges in the Use of Artificial Intelligence for Coronary Artery Disease Diagnosis: An Integrated Review

Archives of Computational Methods in Engineering (Springer)

June 2025
View Paper
Authors: Heni Mehta, Mili Patel, Manav Vakharia, Parita Oza
  • Comprehensive review of AI and deep learning methods for coronary artery disease diagnosis.
  • Analyzed challenges including data quality, generalization, interpretability, and clinical adoption.
  • Discussed future directions for reliable AI-assisted clinical decision systems.

Certificates & Awards

A curated collection of recognitions, hackathons, courses, and achievements.

Let's connect

Want to collaborate, discuss research, or talk full-stack? Send a message — I reply fast.

Reach me directly
Best way: email. Also active on LinkedIn + GitHub.
Email
milipatel.career@gmail.com
LinkedIn
Connect / message
GitHub
Projects & code
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