Building the bridge between ideas and deployable intelligence.

📍 Dallas, TX
🌐 LinkedIn · 🧠 Portfolio · 🧩 LeetCode

I’m a data-driven problem solver with ~4 years of IT support + data experience, now transitioning into AI/ML, Cloud, and Data Engineering.

Right now I’m in a “build and ship” season:

• Turning real-world problems (healthcare, liquor retail, receipts, cost optimization) into projects
• Deploying things to the cloud instead of keeping them as “local only” ideas
• Using hackathons as deadlines to learn faster and ship cleaner

If you like practical AI, thoughtful APIs, and clean data workflows, we’ll get along well. 🙂

These are projects you can actually click, run, or see in action:

Repo: insight-lens
A lightweight web app that turns messy receipts, invoices, or order emails into 5-bullet action briefs using Chrome’s built-in AI APIs.

• Accessible UI with status messages and validation
• Multiple output modes: summary, brief, proofreading
• Built to respect privacy: works entirely in the browser

Focus: Frontend, UX, prompt design, browser AI

Repo: healthcare-api
FastAPI-based backend for patient records + ML-style predictions, designed as a starter for a full MLOps pipeline.

• Modular FastAPI app structure
• /predict endpoint wired to a mock model (real model integration in progress)
• Deployed to Render for easy demo & testing

Focus: APIs, backend design, ML-in-the-loop

Repo: ops-whisperer-google-cloud
An AI-powered operations assistant for liquor retail, built for a Google Cloud / Cloud Run hackathon.

• Designed to ingest store ops data (orders, stock, promos)
• Uses Gemini + serverless infra (Cloud Run)
• Goal: answer “what should I order / price / promote next?” in natural language

Focus: Cloud, serverless, domain-specific AI for retail

Repo: veena-portfolio
Live: https://veena-dev.netlify.app/

A clean, responsive portfolio built with React + Tailwind + Vite.

• Highlights my projects, stack, and ongoing learning
• Designed to be easy to update as my projects grow

Focus: Frontend, personal branding, deployment

Repo: sql-practice

A growing collection of SQL interview-style problems (DataLemur, LeetCode, etc.), with:

• Organized folders by source/problem
• Clear, commented solutions
• Focus on readability + reasoning, not just “it runs”

Focus: Analytics, query design, interview prep

These are part of my “Super Cool Projects” roadmap – some have code, some are still in the design/early implementation stage.

End-to-end pricing analytics system for a liquor store use case:

• Python ETL → PostgreSQL or Redshift-style warehouse
• Scheduled ingestion of price / promo / sales data
• React or Streamlit dashboard for trends & recommendations

Status: Data model + pipeline design in progress; implementation planned as my next major data/ETL project.

Multi-agent workflow for resume & document analysis:

• Uses vector search & tools (MCP-style)
• One agent to extract structure, one to analyze, one to suggest improvements
• Designed to be infrastructure-ready for future integration with APIs

Status: Architecture drafted; implementation in early planning.

Serverless tool for tracking and alerting on AWS costs:

• Lambda functions to pull AWS usage/costs
• DynamoDB/S3 for storage
• SNS or email alerts for anomalies or threshold breaches

Status: MVP spec drafted; coding planned as part of AWS cost/ops learning.

A set of small, focused utilities for working with pretraining / fine-tuning data:

• Data cleaning + deduplication pipelines
• Simple token frequency visualizer for spotting weird distributions
• Tiny “training log explorer” to visualize overfitting / loss curves

Status: Ideas + notes stage; will likely evolve into one or two focused repos.

I treat GitHub as a learning log, not just a gallery. Some repos are intentionally practice playgrounds:

• Frontend Mentor Challenges – multiple fm-* repos with HTML/CSS/JS practice
• freecodecamp-certifications – projects completed while studying web fundamentals
• Math & tutoring materials – small bits of code and worksheets used while helping my niece prep for Swedish national math exams

They’re not “perfect”, but they show how I practice, refactor, and grow.

Core Languages

Data & ML

Exploring vector search, embeddings, and retrieval workflows.

Backend & APIs

RESTful APIs, input validation, and schema design.

Frontend & UI

Responsive, accessible layouts and clean component structure.

Cloud & Infra

AWS (S3, Lambda, IAM) · Google Cloud Run · Render · Netlify

Data & Analytics

Streamlit dashboards · Data exploration · Reporting

Tools & Workflow

Git branching · PRs · tagging · release management
Markdown documentation · Devpost-style storytelling

• Stronger DSA in Python (to support backend + ML work)
• AWS certifications (Cloud Practitioner first, AI/ML later)
• LLM workflows: prompt design, retrieval, basic agent patterns
• End-to-end data projects: from raw CSV → cleaned DB table → deployed dashboard

📬 Reach me: [email protected]

If you’re interested in AI/ML, data, or cloud — or you want to chat about building real projects from messy real-world problems — my inbox is open. 🤝