Hello, I'm

Anish
Kothuri

Software Engineer & AI Researcher|

CS + Finance grad from UT Dallas building intelligent systems at the intersection of machine learning, full-stack engineering, and data science.

Education & Background

University of Texas at Dallas

B.S. Computer Science  ·  Minor in Finance

Richardson, TX   ·   Aug 2022 – May 2026

Data Structures OOP Blockchain Google Cybersecurity Apply AI Discover AI

Work Experience

AI Ignite Project Manager

AI4ALL Artificial Intelligence

Jul 2024 – Present San Francisco, CA
  • Directing technical mentorship for 300+ engineers from Ivy League & top US universities, guiding model architecture selection, data preprocessing, evaluation, and symposiums.
  • Managing program operations and engineering workshops, debugging complex training pipelines and establishing validation frameworks aligned with responsible AI benchmarks.
Machine LearningMLOpsProgram ManagementAI Education

Full Stack Developer — YouTube Intelligence

University of Texas at Dallas

Jan 2026 – May 2026 Richardson, TX
  • Spearheaded the architecture of a multi-page analytics dashboard using Next.js, React, and TypeScript, directing the implementation of custom Recharts visualizations and dynamic UI filters.
  • Orchestrated an AI pipeline using FastAPI and Supabase/Postgres to ingest YouTube video data, extracting structured health claims via LLMs and converting them into high-level narrative themes.
Next.jsReactTypeScriptFastAPISupabaseLLM

Machine Learning Intern

Vitatech Biometrics — Cancer Classification ML

May 2025 – Aug 2025 Houston, TX
  • Built and trained a ResNet50 CNN for cancer classification, distinguishing 20 cancer types from histopathology slides with 95%+ precision, recall, and F1 score across 10,000+ images.
  • Developed an end-to-end healthcare ML pipeline including image splicing, preprocessing, and Grad-CAM interpretability for real-time cancer diagnosis support.
PyTorchTensorFlowResNet50Computer VisionPython

Software Engineering Intern

Wellness Center for Older Adults

Aug 2024 – Jan 2025 Richardson, TX
  • Engineered a full-stack transit application replacing manual Excel-and-email workflows with automated scheduling pipelines and admin privileges, boosting efficiency by over 350%.
  • Integrated secure database and authentication systems using React, Next.js, PostgreSQL, and Auth0 for scalable backend operations and API-driven workflows.
ReactNext.jsPostgreSQLAuth0Node.js

Featured Projects

Apr 2026 – Jun 2026

Active Thermal Object Detection

Built YOLOv8 models for thermal object detection and active tracking, boosting detection accuracy by 35% and reducing misclassifications by 25%. Enhanced model performance with precision +10%, recall +8%, and F1 score +12%, enabling scalable real-time tracking in low-visibility conditions.

PythonPyTorchYOLOv8SAMComputer Vision

Aug 2023 – May 2024

Predictive Outbreak Analytics Program

Developed an AI application using decision trees and Scikit-learn on 50,000+ historical COVID-19 records, achieving 92% accuracy in forecasting regional outbreak trends. Integrated a RAG workflow to query medical documentation and present interpretable findings.

PythonLangChainOpenAIScikit-LearnRAG

Technical Skills

Languages

PythonC/C++TypeScriptJavaScriptSoliditySQLHTML/CSS

Web Frameworks

Next.jsReactNode.jsExpressTailwind CSSAuth0REST APIs

AI / ML

PyTorchTensorFlowKerasYOLOv8ResNet50OpenCVScikit-Learn

Cloud & Databases

AWS LambdaSupabasePostgreSQLMySQLMongoDB

Developer Tools

GitGitHubDockerCursorJupyterColabPyCharmJira

Machine Learning

Deep LearningComputer VisionMLOpsLLM Fine-TuningRAG
300+
Engineers Mentored
95%+
ML Model Accuracy
350%
Efficiency Boost
4
Years Experience

Get in Touch

Open to full-time roles, internships, and exciting collaborations.
My inbox is always open.