Tarun Boddeda

MACHINE LEARNING & SOFTWARE ENGINEER · RESEARCHER

I build machine learning systems, research software, and practical tools across AI, retrieval, backend systems, and Linux.

Education

B.Sc. Computer Science, specialization in Artificial Intelligence & Machine Learning — Blekinge Institute of Technology, Sweden · Graduated June 2026 · Thesis: Federated Learning-Based Player Personalization in Real-Time Strategy Games: Player Action Prediction in StarCraft II. The thesis work became a first-author paper presented at IEEE GEM 2026.
B.Tech. (Hons.) Computer Science & Engineering — Andhra University, India · Graduated June 2026 · GPA 8.65/10 · WES iGPA 4.0/4.0 · Concurrent dual-degree program.

Experience

Research Collaborator — With Dr. Prashant Goswami and other researchers · Aug 2026 – Present · Contributing to three ongoing game-AI research projects with different research teams. Work includes dataset analysis, benchmark development, research software, experiments, evaluation, and reproducible workflows. Some project details remain non-public.
Linux Kernel Summer Mentee — Linux Foundation · Jun 2026 – Present · Selected for the Linux Kernel Summer Mentorship program. Working with upstream Linux development, subsystem analysis, debugging, builds, and patch workflows using C, Git, GCC, Kbuild, QEMU, GDB, and Bash.
STEM Tutor — Intize · Nov 2025 – Jul 2026 · Delivered weekly one-to-one web-development tutoring. Designed project-based exercises and coached debugging and independent problem solving in JavaScript, HTML/CSS, and responsive design.
Machine Learning & Data Science Intern — Baylogic Technologies · Nov 2023 – May 2025 · Built and validated LightGBM/XGBoost models, feature-engineering and cross-validation pipelines, Flask/FastAPI inference APIs, and ROC-AUC/SHAP analyses for client-facing ML work. Worked with relational databases and presented model behavior and results to stakeholders.
Content Writer — a-hub Incubation Center, Andhra University · May 2023 – Jul 2023 · Prepared meeting minutes, reports, and summaries of internal and external discussions.
Web Development Intern — Baylogic Technologies · Aug 2022 – Nov 2022 · Built Flask applications backed by SQLite/MySQL plus Python tools for file handling and visualization, including a CSV-to-histogram web app, and deployed projects on PythonAnywhere.

Research

Computer Science graduate working on personalized and federated learning, player modeling, sequential data, research software, local AI, information retrieval, and machine learning systems. My BTH thesis became a first-author IEEE GEM 2026 paper, and I am currently collaborating on additional game-AI research.

Personalized Federated Learning for Player Action Prediction in StarCraft II

Selected Projects

FederatedComparison — Research software and reproducibility artifacts for my first-author IEEE GEM 2026 work on personalized federated learning for StarCraft II player-action prediction. · 2026
Local Expert — Local-first folder intelligence system that indexes documents and code, preserves source locations, and answers questions through hybrid vector and keyword retrieval with local Ollama inference. · 2026
NoveList — Semantic novel search and personal reading library with local embeddings, FAISS, lexical boosts, SQLite persistence, ratings, collections, reading status, and tier lists. · 2026
CoachAI — Computer-vision prototype for teacher/student pose comparison with offline and live webcam workflows, joint-level error analytics, rendered comparison videos, CLI tooling, and a Streamlit interface. · 2025–2026
Note Intent Classifier — Calibrated linear-SVM classifier for questions, tasks, and deadlines using word/character TF-IDF, cue features, lexical features, reusable inference helpers, CLI tooling, and a Streamlit demo. · 2026
Supplier Cockpit — Team-built Industrial AI Hackathon prototype connecting supplier risk to contract rights, deadlines, evidence, and suggested actions, with deterministic offline operation and optional live tool-calling workflows. · 2026

Additional Projects

Museum Ticket Booker — Multilingual museum ticket booking application built with Flask and Python, using Google Maps and Google Translate APIs for booking and interactive maps.
CoachAI — Personal training prototype using computer vision with MediaPipe and OpenCV.
Flask Blog Application — Custom blog application built with Flask and SQLite/MySQL.
CSV Histogram Web App — Python web application for file handling and CSV data visualization as histograms.