Building intelligent systems that turn data into decisions.

Roles I'm built for

Overlapping AI/ML disciplines I actively work in — each with the concrete keywords, tools, and problems I own end-to-end.

Roles, dates, and what I shipped.

A chronological look at where I've worked, the problems I solved, and the tools I used to ship real product.

1. 

   Artificial Intelligence & Machine Learning Intern

   Zynvex Solutions · Remote

   Jul 2026 – Aug 2026 · 6 weeks

   Completed a 6-week remote AI/ML internship covering the full applied-ML curriculum — data wrangling and EDA, classical ML, deep learning, and a GenAI capstone (LearnTube) shipped to production on web and mobile.

   • ▹Data foundations (Labs 2–4): NumPy/Pandas pipelines, data cleaning (median/mean imputation, duplicate removal, text standardization, IQR outlier handling), and visualization with Matplotlib/Seaborn.
   • ▹EDA assignment on NYC Airbnb listings: outlier treatment on price and minimum_nights, feature engineering (price_category), and univariate → multivariate analysis with actionable recommendations.
   • ▹Classical ML (Labs 6–10): train/test splits, StandardScaler workflows, regression (linear, multiple, polynomial — MSE/RMSE/R²), classification (Logistic Regression, KNN, Decision Tree), and feature engineering.
   • ▹Model evaluation: confusion matrix, precision/recall, F1, ROC-AUC, cross-validation, hyperparameter tuning, and decision-threshold analysis on the Titanic dataset.
   • ▹End-to-end regression project: insurance cost prediction packaged as a reusable `insurance_model.joblib` artifact.
   • ▹Deep learning (Labs 11–14): neural-network fundamentals, dense image classifiers, CNNs on Fashion-MNIST, and RNN/LSTM/GRU sequence models on IMDB sentiment data.
   • ▹Deep-learning assignment: Telco customer-churn prediction with a Keras model exported as `churn_model.keras`.
   • ▹Capstone — LearnTube (AI YouTube Learning Assistant): a FastAPI + Gemini RAG service that turns any YouTube video into a summary, quiz, flashcards, and a transcript-grounded chat with [MM:SS] citations; React/Vite web app plus an Expo/React Native iOS + Android app — walkthrough available as a demo video, screenshots, and full project report.
   • ▹Built LearnTube's retrieval stack: transcript ingestion (youtube-transcript-api / yt-dlp), semantic chunking with timestamps, sentence-transformers embeddings in ChromaDB, and a TF-IDF + Logistic Regression intent classifier (~85% accuracy) routing queries.

   Internship certificate (PDF) ↗LearnTube demo video & screenshots →LearnTube project report (PDF) ↗

   remotePythonPandasNumPyMatplotlibSeabornscikit-learnTensorFlowKerasCNNsRNN / LSTM / GRUTF-IDFLogistic RegressionFastAPIUvicornPydanticGoogle Gemini FlashRAGChromaDBsentence-transformersHuggingFaceSQLAlchemySQLitePyJWTslowapiReactViteTypeScriptTailwind CSSshadcn/uiFramer MotionTanStack QueryExpo / React NativeExpo RouterClerk AuthGit & GitHub
2. 

   Full Stack Engineer (Intern)

   DawoodTech NextGen · Remote

   Apr 2026 – Jun 2026

   Completed a Full Stack Engineer internship focused on building and improving production MERN stack web applications end-to-end.

   • ▹Developed responsive frontend interfaces using React.js, Redux Toolkit, Tailwind CSS, HTML5, CSS3, and JavaScript.
   • ▹Built and integrated backend REST APIs with Node.js and Express.js for authentication, dashboards, job management, file uploads, and application workflows.
   • ▹Implemented secure user authentication and role-based access using JWT, Bcrypt.js, and protected routes.
   • ▹Designed and managed MongoDB models, CRUD operations, validations, relationships, and seed data.
   • ▹Integrated file uploads via Multer + Cloudinary for resumes and profile images, and real-time notifications with Socket.IO.
   • ▹Added email notifications using Nodemailer for account updates and application alerts.
   • ▹Integrated AI APIs (Gemini / OpenAI) for resume review and job description generation.
   • ▹Deployed and tested full-stack applications on Vercel and Microsoft Azure App Service with production environment variables; managed workflow via Git & GitHub.

   Internship certificate (PDF) ↗SmartHire AI live app ↗SmartHire AI project report (PDF) ↗SmartHire AI case study →

   remoteReact.jsRedux ToolkitTailwind CSSHTML5CSS3JavaScriptNode.jsExpress.jsMongoDBREST APIsJWTBcrypt.jsMulterCloudinarySocket.IONodemailerGemini APIOpenAI APIVercelAzureGitGitHub
3. 

   Data Processor & Programmer (Intern)

   Health and Psychiatry Services · Tampa, FL

   Aug 2024 – Jul 2025

   Processed and validated large operational datasets, improving reporting accuracy and pipeline efficiency for a clinical services team.

   • ▹Cleaned, validated, and transformed large operational datasets used for downstream reporting and analytics.
   • ▹Improved reporting accuracy and turnaround time by streamlining recurring data-processing workflows.
   • ▹Collaborated cross-functionally with clinical and operations staff to strengthen data quality assurance.
   • ▹Documented processing steps to make pipelines reproducible and auditable for future team members.
   • ▹Prepared recurring financial reports and supported compliance with tax and regulatory requirements.

   Internship experience letter (PDF) ↗

   onsitePythonSQLExcelData QAReportingCompliance

Each society is listed once with every university where membership was active. Use the filters to narrow by university or year range.

Tau Sigma National Honor Society

National honor society for transfer students who earn a 3.5+ GPA in their first term at a four-year university.

University of South Florida · 2025

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Phi Theta Kappa Honor Society

International honor society recognizing academic achievement among two-year college students.

Hillsborough Community College · 2023 – 2024

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