Selected Technical Work

Projects

ML engineering and research projects focused on scalable data workflows, model evaluation, and applied machine learning systems.

Indoor Localization with GMM / TSFA / PPSA

Machine learning methods for signal-based indoor localization, including group matching, transformed fingerprint similarity filtering, adaptive selection, temporal learning, and structured attention.

Python KNN Signal Processing Model Evaluation

LLM Evaluation and Agent Workflow Analysis

Python-based workflows for evaluating LLM-generated task execution, analyzing failure modes, improving reproducibility, and benchmarking agent performance across diverse tasks.

LLM Evaluation Python Pipelines Failure Analysis Benchmarking

Job Application Tracker Chrome Extension

Chrome extension project for tracking applications, company context, role requirements, follow-up status, and preparation notes for ML and data science recruiting.

Chrome Extension Workflow Design Recruiting Tools

5G Fingerprint Dataset Generation

3D ray-tracing simulation workflow for generating near-realistic 5G MIMO fingerprint datasets to support ML model training and indoor positioning evaluation.

5G MIMO Dataset Generation Indoor Positioning

NR-V2X Simulation for Traffic Data

Simulation framework using OMNeT++, INET, Simu5G, and Veins to generate traffic data and evaluate uplink performance in 5G V2N scenarios.

5G Simulation OMNeT++ Traffic Prediction

GitHub Project Showcase

A public entry point for source code, experiments, and technical artifacts associated with ML engineering, data workflows, and research implementation.

GitHub Python ML Engineering