Alexander Pino
alex.pino.salig@gmail.com · github.com/a-pino · linkedin.com/in/alexander-j-pino
Experience
Accenture Industry X — Software Engineer
Jun 2025 – Present
Owns the maintenance and deployment of AIOHTF, an internal hardware-testing platform extending Google’s OpenHTF with an asynchronous FastAPI layer and parallel multi-plug configuration; integrated open-source YOLO and Qwen-VL models (PyTorch) for automated validation of embedded software UIs, with annotation pipelines managed in Label Studio. (Client: major U.S. manufacturer of industrial water treatment and sanitation equipment.)
Led a five-engineer team prototyping AIX Agent, an agentic platform with a FastAPI backend and React frontend that enables an AI agent to autonomously manage physical industrial sites on Azure — querying embedded sensor data from SQL Server, performing root cause analysis, enforcing SOPs for issue triage and shift handoff, and generating compliance and shift-handoff reports.
AIKOCorp — Research Intern
Jul – Sep 2024
- Architected and implemented an automated privilege-escalation system combining a graph neural network (GNN) with a reinforcement learning (RL) environment (PyTorch, HuggingFace) to autonomously obtain administrator access within simulated Active Directory networks.
WhiteBox Research — Research Fellow
Feb – Jun 2024
- Designed a benchmarking framework (PyTorch, HuggingFace) evaluating frontier and open-source LLMs on their self-awareness of safety risks when answering queries related to Chemical, Biological, Radiological, and Nuclear (CBRN) topics; conducted in collaboration with interpretability research institute Apart Research.
FrontierLab@OsakaU — Research Intern
Jul 2023
- Built a computer vision pipeline (PyTorch, HuggingFace) for multi-species microorganism identification in petri dish imagery, benchmarking generalist models (YOLO, ViT) against microscopy-specialized models (StarDist, Cellpose). Supervised by Hideo Matsuda, PhD and Shigeto Seno, PhD; presented research poster on July 31, 2023. (Synthetic Ecosystem Project, Institute of Science and Technology.)
Education
Ateneo de Manila University — BS Applied Mathematics, Specialization in Data Science
Jun 2024
- Thesis: Using Topology to Extract Insights from UAAP Basketball Data (with B.L. Ang and D.L. Rosario). Applied Vietoris-Rips filtration and the Mapper algorithm to UAAP player statistics, discovering four novel player subgroups (paint dominators, stretch forwards, defensive rebounders, scrappers) and identifying two underrepresented archetypes within the league.