Rudee Kolapalli

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Data & AI engineer — currently @ AT&T·Georgia Tech MS Analytics '25·Atlanta, GA

01 — About

I'm an engineer who likes the whole board: data, models, agents, and the interfaces people actually use. Georgia Tech gave me the analytics foundation, AT&T gives me enterprise scale, and my own projects give me range across machine learning, AI agents, and interactive visualization. Right now I'm into agentic systems that do real work.

4+

years at AT&T

3×

cloud certifications

77

skills on record

02 — Experience

01

AT&T

Senior Data/AI Engineer

Jul 2024 — Present · Alpharetta, GA

  • Enterprise data products on AT&T's shared Data Platform — 5+ business units
  • Production AI agents with MCP, LLMs, Skills & LangGraph
  • ETL/ELT pipelines over multi-TB datasets — 90%+ job success

02

LAHZO

Machine Learning Engineer — Contract

May 2025 — Aug 2025 · Remote

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

03

AT&T

TDP Engineer II — Systems

Jul 2023 — Jun 2024 · Atlanta, GA

  • Azure PoC automating call-log ingestion for AI/ML workloads
  • Cloud architecture patterns that unblocked 2 downstream ML use cases

04

AT&T

TDP Engineer I — Data

Jul 2022 — Jun 2023 · Atlanta, GA

  • Enterprise data migration & automation — ~40% fewer manual handoffs
  • 8+ ETL/ELT workflows with same/next-day freshness

05

CommScope

Solutions Architect — Intern

May 2021 — Aug 2021 · Remote

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

03 — Masters Projects

Proof, not promises.

01 / 2024

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
GitHub ↗Live ↗

Fig. 01 — Entity graph — unsupervised clustersDeployed

02 / 2025

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
GitHub ↗Live ↗

Fig. 02 — Price fit — XGBoost benchmarkDeployed

03 / 2024

SPY Price Prediction

Markets through a model's eye

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

PythonLSTMTime SeriesGradient Boosting
GitHub ↗Live ↗

Fig. 03 — SPY series — forecast windowDeployed

04 / 2024

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
GitHub ↗

Fig. 04 — Outbreak curves — immunization impactShipped

+ — Personal Projects

P1 / 2026

rudee-kola.com

This site — engineered like a product: Next.js + TypeScript, GSAP scroll choreography, and hand-rolled canvas systems: particle typography, neural fields, and generative data exhibits.

Next.jsTypeScriptGSAPCanvas
GitHub ↗Live ↗

P2 / 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
GitHub ↗

04 — Skills

Python·SQL·R·Airflow·Databricks·Kafka·Snowflake·ETL·Data Modeling·
AI Agents·MCP·LangGraph·LLMs·Prompt Engineering·NLP·XGBoost·scikit-learn·LSTM·
AWS S3·Glue·Athena·Lambda·Azure Data Factory·BigQuery·React·D3.js·

Data Engineering

  • Pipelines & ETL
  • Airflow / Databricks
  • Kafka & streaming
  • Warehousing — Snowflake, BigQuery, Teradata

AI & Agents

  • Agent design — MCP, Skills, Workflows
  • LLM & prompt/context engineering
  • Applied ML — XGBoost, LSTM, NLP

Cloud & Platforms

  • AWS — S3, Glue, Athena, Lambda
  • Azure — Data Factory, Data Lake
  • Analytics engineering & visualization

05 — Education

Georgia Institute of Technology

M.S. Analytics

Computational Analytics · GPA 3.7 / 4.0 — Class of 2025

University of Georgia

B.B.A. Management Information Systems

Terry College of Business

Credentials

  • AWS Certified Solutions Architect – Associate

    Amazon Web Services

  • 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