Abhijith Aravind
Computer Science Undergraduate
Data engineering, machine learning, and AI — turning data into intelligent, real-world systems.
Abhijith Aravind
San Francisco Bay Area, California
- Focus
- Data Engineering · ML · AI
- Studying
- B.S. Computer Science, UC Santa Cruz
- Seeking
- Data Engineering & AI/ML Internships
15+
Kaggle competitions
Top 1%
Best finish · 15 / 1,908
1540
SAT score
1593
US Chess rating
Turning data into intelligent systems
Computer Science undergraduate at UC Santa Cruz with interests in machine learning, artificial intelligence, data engineering, and data science. Experienced in Python, applied ML, data pipelines, and cloud technologies through coursework, Kaggle competitions, and hands-on projects. Seeking data engineering and AI/ML internship opportunities to help build scalable, intelligent, data-driven systems.
Technical toolkit
Languages
- Python
- Java
- C / C++
- SQL
Data Engineering
- ETL / Data Pipelines
- DuckDB
- Data Modeling
- Feature Engineering
- AWS (S3, EC2)
Machine Learning
- Scikit-learn
- Pandas / NumPy
- Statistical Modeling
- Regression
- Classification
Analytics & Visualization
- Tableau
- Power BI
- Matplotlib
- Jupyter Notebook
Live apps you can try
csv-to-duckdb
LiveUpload CSV files into a DuckDB database and run SQL queries across multiple CSV tables together in one place.
FloraVision AI
LiveUpload a photo of any plant and get a concise, AI-generated description of the flora in seconds.
AI Video Highlighter
LiveAutomatically detects and surfaces the important moments in a video to speed up review and editing.
Traffic Accident Analyzer
LiveExplores accident datasets to detect high-risk patterns and surface insights on location, time, and severity.
Lichess Opening Trainer
LiveA chess opening trainer that helps players drill and memorize opening lines through guided practice.
AppData Cleanup Assistant
Scans a Windows machine to find apps still consuming disk space via temp and AppData folders, helping reclaim storage.
More on GitHub ↗
Kaggle & applied ML
Participated in 15+ machine learning competitions involving predictive analytics, feature engineering, and ensemble modeling.
Top 1% — Binary Prediction of Smoker Status (15 / 1,908 teams)
Built ensemble classification pipelines with advanced feature engineering and probability calibration.
NeurIPS 2023 — Machine Unlearning
Explored privacy-preserving unlearning techniques balancing data-removal fidelity with retained model accuracy.
Google — AI Runtime Prediction
Built graph- and layout-aware regression models to predict AI compiler runtime and optimization performance.
Where I've contributed
Data Science Enthusiast · Kaggle Competitions
Feb 2023 — Present
Remote
- Competed in 15+ ML competitions spanning predictive analytics, feature engineering, and ensemble modeling.
- Achieved a Top 1% finish (15/1,908 teams) in a binary classification challenge.
Independent Technical Projects · GitHub · @abi1010-git
Jun 2023 — Present
Remote
- Built csv-to-duckdb — load CSV files into a DuckDB database and query across multiple CSV tables together with SQL.
- Created ai-flora-identifier, a web app returning AI-generated descriptions of plants from user-uploaded photos.
- Developed ai-video-highlighter to automatically detect and surface the important moments in a video.
- Built a traffic-accident pattern analysis project (Jupyter, Pandas) detecting high-risk patterns by location, time, and severity.
- Created Opening-Trainer, a chess opening trainer for drilling and memorizing opening lines.
- Built a Windows AppData cleanup assistant that scans for apps consuming disk space via temp and AppData folders.
SAT Boot Camp Tutor · Schoolhouse.world (Khan Academy Affiliate)
Jun 2023 — Sept 2024
Remote
- Led virtual SAT sessions covering math, verbal reasoning, and test strategy, drawing on a personal 1540 score.
- Mentored students through personalized instruction and guided practice exams.
Flight Teen Volunteer · Hiller Aviation Museum
Jun 2022 — Jun 2024
San Carlos, CA
- Supported STEM outreach through interactive aviation and science demonstrations.
- Facilitated visitor engagement via VR aviation experiences and invention-lab activities.
Academics & beyond
B.S. Computer Science
Sept 2024 — Present
University of California, Santa Cruz
Coursework: Data Structures & Algorithms, Computer Architecture, Probability Theory, Statistical Methods, Human-Centered AI, C Systems Programming.
Pre-College Scholars Track
Jun 2023 — Aug 2023
University of California, Berkeley
Completed undergraduate-level Probability and Statistics for Business.
Dual Enrollment
Aug 2022 — Jun 2023
Brigham Young University
College-level Calculus coursework completed during high school.
Chess
1593
Regular
1234
Quick
1710
Blitz
US Chess Federation rated player (Member ID 15930356).
Interests
- US Chess Federation rated player
- Basketball & team-based athletics
- STEM mentoring & SAT tutoring
07 — Contact
Let's build something intelligent.
Open to data engineering and AI/ML internships. Reach me on LinkedIn, or explore my code on GitHub.