RudeeKolapalli

Senior Data / AI Engineer

Atlanta, GA·AT&T · Chief Data Office

I build systems that learn: production data products, AI agents, and the engineering underneath.

Weekdays that’s AT&T’s Chief Data Office. The rest of the time I prototype whatever I can’t stop thinking about.

  • Atlanta
  • 4+ yrs AT&T
  • GT MSA ’25
LinkedIn ↗
Rudee Kolapalli

About

Georgia gave me both sides of the board: UGA for the business brain, Georgia Tech for the math. AT&T is where I run it at enterprise scale. I like the whole problem: data, models, agents, and the interfaces people actually use. Right now I’m into agentic systems that do real work.

  • AT&T
  • Georgia Institute of Technology
  • University of Georgia

Experience

Four years at AT&T, one platform. Two more chapters on the side.

AT&T

Senior Data/AI Engineer

Jul 2024 – Present · Alpharetta, GA

  • Enterprise data products on AT&T's shared Data Platform, used by 5+ business units
  • Production AI agents with MCP, LLMs, Skills & LangGraph
  • ETL/ELT pipelines over multi-TB datasets with 90%+ job success
  • AI-fueled coding with Codex, Claude Code, and Devin, under enterprise guardrails: plugins, hooks, skills, and human review

May 2025 – Aug 2025

LAHZO

Machine Learning Engineer — Contract

Remote

  • End-to-end ML capstone for an industry partner, delivered in a 12-week engagement
  • Improved model performance ~15–25% over baseline

May 2021 – Aug 2021

CommScope

Solutions Architect — Intern

Remote

  • AWS data lake for IoT telemetry on S3, Glue, Athena, Lambda, and Step Functions
  • Scalable ingest + ad-hoc query for device fleets

Projects

Built, shipped, and learned from.

2024·Deployed

BitCluster

Bitcoin entity classification

End-to-end blockchain analysis: ETL, graph-based entity mapping, unsupervised clustering of 100K+ addresses, and an interactive D3.js atlas of ownership and transaction patterns.

PythonD3.jsGraph AnalyticsUnsupervised ML

2025·Deployed

Used Car Price Prediction

Modeling the used-car market

Predicted U.S. used-car prices from multi-source listings (Craigslist + EPA/NHTSA). XGBoost beat linear baselines by ~20% on holdout, with price drivers ranked for interpretability.

PythonXGBoostscikit-learnFeature Engineering

2024·Deployed

SPY Price Prediction

Markets through a model's eye

Forecasted SPY over 10+ years of history using ensembles, gradient boosting, and LSTM, then compared walk-forward error against naive and linear baselines.

PythonLSTMTime SeriesGradient Boosting

2024·Shipped

Flu Transmission Monte Carlo

Simulating outbreak control

Monte Carlo simulation of influenza spread across a 61-student classroom, quantifying how immunization strategies bend the outbreak curve.

PythonMonte CarloStatistical Modeling

Also

2026

rudee-kola.com

This site is engineered like a product: Next.js + TypeScript, GSAP, and a live neural field I drew by hand.

Next.jsTypeScriptGSAPCanvas

2021–

Solution Builder

An ongoing playground for AI-assisted product building, taking real problems to working prototypes with strong prompting, domain judgment, and a human in the loop.

AI AgentsLLMsPrototyping

Stack

How I work.

Data Engineering

  • Pipelines & ETL
  • Airflow / Databricks
  • Kafka & streaming
  • Warehousing: Snowflake, BigQuery, Teradata
  • Data quality, lineage, and job observability

AI & Agents

  • Agent design: MCP, Skills, Workflows
  • LLM & prompt/context engineering
  • Applied ML: XGBoost, LSTM, NLP
  • Evals, tool use, and human-in-the-loop
  • RAG and grounded retrieval

AI Coding

  • Codex, Claude Code, Devin
  • Plugins, hooks, and skills
  • AI-fueled coding with enterprise guardrails
  • Spec-driven development
  • Review, tests, and policy as the safety net

Cloud & Platforms

  • AWS: S3, Glue, Athena, Lambda
  • Azure: Data Factory, Data Lake
  • Identity, secrets, and least privilege
  • Analytics engineering & visualization

Education

Georgia Institute of Technology

M.S. Analytics

Computational Analytics · GPA 3.7 / 4.0 · Class of 2025·Diploma ↗ (verify on Parchment)

University of Georgia

B.B.A. Management Information Systems

Terry College of Business

Credentials

  • AWS Certified Solutions Architect – Associate

    Amazon Web Services·Credly ↗ (verify on Credly)

  • AWS Certified Cloud Practitioner

    Amazon Web Services

  • Microsoft Certified: Azure Data Fundamentals

    Microsoft

Rudee brings a rare combination of business intuition, technical excellence, and strong work ethic. He quickly grasped the core business problem, contributed actionable insights, and delivered high-quality analytical work under tight deadlines.

Bernice Liang · Data Analyst, GT OMSA Practicum Teammate