IN PROGRESS
LabWise
Building tools with my team to make the everyday work of a lab a little less messy. LabWise brings chemical inventory and AI-assisted protocol review together on the web, with a companion iOS app for scanning chemical labels.
PLAYER PROFILE / 01Hey, I'm
Hey, I'm
Aniketh
Kalagara!
I'm a CS + SDS junior at UT Austin, interested in building things with machine learning, data, and AI that actually solve real problems.
Outside of tech, I’m big on mental health advocacy, sports (cricket, chess, soccer, badminton, basketball, etc), poker, and trying out new things.
THE BUILD ZONE / 02
Current quests.
IN PROGRESS
Healing the Realm
A browser game I'm developing for MHISA, the Mental Health Initiative for South Asians at UT Austin. It brings mental health conversations into an explorable school world, with character dialogue, quests, and little games along the way.
More things I've built.
Football Player Fit and Transfer Backtesting
Finding the right player for the right team. A football recruitment app that uses FBref performance data and nearest-neighbor matching to surface similar players and replacement targets.
Football Player Market Value Prediction
Modeling football player market value using performance and transfer data. Compared four regression approaches, then explored where valuations diverge across leagues and positions.
Los Angeles Office Leasing: Predicting Tenant Industry
Exploring how location and property features relate to commercial leasing. Our team built multi-output classifiers for industry-specific lease activity in Los Angeles.
MHISA: South Asian Name Matching with NLP
An exploratory name-matching pipeline combining curated name dictionaries, fuzzy matching, linguistic rules, and name-based models. Built around questions of representation in South Asian data.
Predictive Modelling of a Chess Player’s Style Using Machine Learning
Studied 4,500 games from five chess greats to see whether neural networks could recognize their playing styles. Published in the National High School Journal of Science.
EXPERIENCE LOG / 03
More on LinkedIn Learning by doing.
AUG 2025 — PRESENTAustin, TX
College of Natural Sciences, UT Austin
Undergraduate Teaching Assistant
- SDS 320E – Elements of Statistics: Graded homeworks, labs, and research projects and supported students with probability, statistical inference, regression, and R programming. (Fall 2026, Spring 2026)
- SDS 313 – Introduction to Data Science: Graded homeworks, labs, and projects, held office hours, and assisted students with R, data wrangling, visualization, reproducible analysis, and introductory modeling. (Fall 2025)
- NSC 109 – CNS Foundations: Independently led a seminar for first-year Statistics and Data Sciences students, mentoring them on academic planning, study strategies, career exploration, networking, and UT/CNS resources. (Fall 2025)
MAY — AUG 2026Austin, TX
Cloudflare
Software Engineering Intern
- Built a production CatBoost email-sentiment inference service serving 500+ organizations across 800K+ submitted emails.
- Experimented with 45 model variants and developed NER, redaction, and synthetic-data workflows to improve email classification.
DEC 2025 — JAN 2026Dallas, TX
UT Southwestern
Software Engineering Intern
- Built AI-assisted clinical assessment workflows for transcription, video processing, and rubric-based grading with FastAPI, Prefect, and PostgreSQL.
- Developed a React assessment interface for 10K+ OSCE assessments and accelerated video splitting with FFmpeg.
JUN — AUG 2025Bangalore, India
Wissen Infotech
Data Science Intern
- Built a LangGraph and GPT-4o retrieval system for financial PDFs, reaching 92% retrieval accuracy on the project benchmark.
- Developed document automation and a Teams support agent to guide users through troubleshooting and ticket creation.
MAR — JUN 2025Austin, TX
Distro Media
AI Intern
- Built a Node.js and GPT-4o fact-checking agent that searched sources and returned structured verdicts with confidence scores.
- Developed a Flask credibility-analysis service using TensorFlow and Hugging Face, reaching 85% claim-matching accuracy.
MAR — JUN 2025Austin, TX
Longevity Escape Velocity Foundation
Data Science Intern
- Built a Python and Biopython Entrez pipeline to enrich 700K+ PubMed records with abstracts, MeSH terms, authors, and publication dates.
- Automated CSV/JSON exports with batching, error handling, and NCBI rate-limit compliance, reducing manual literature-search effort by roughly 90% and supporting ingestion of 3K–5K new papers daily.
MAR — JUN 2025Austin, TX
UT High School
Computer Science & Mathematics Tutor
- Tutored Computer Science I–III and Algebra, Geometry, Precalculus, Calculus, and AQR through individualized support.
- Helped students build programming and mathematical reasoning skills through targeted practice, coursework support, and exam preparation.
The University of Texas at Austin
B.S. Computer Science + Statistics and Data Sciences
OFFLINE MODE / 04
Life outside my IDE.
