About Me

John V. Pereira in a suit outdoors — hover

John V. Pereira with two parrots on his shoulders at the beach — hover

Nice of you to be here! I'm a senior at The University of Akron studying Information Systems, with a Computer Science minor and a certificate in AI and Machine Learning. I graduate this December.

Right now I'm an AI Engineering Co-Op at Peak Nano, doing AI safety research at Algoverse, and working as an undergraduate researcher in computer vision, evaluating object detection models on thermal imagery. Before that I spent the summer at Seagate building data pipelines and dashboards for the RevOps team.

After graduation I'm headed to a master's in Machine Learning. I really enjoy meeting new people, exchanging ideas, and hearing what they're working on, so if you want to talk, please reach out.

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Tech

Languages & Frameworks

Python
C++
SQL (MySQL, SQLite, Oracle)
JavaScript
HTML/CSS

Machine Learning & AI

PyTorch, TensorFlow, Scikit-learn
HuggingFace, LlamaIndex, FAISS
Ultralytics (YOLO/RT-DETR)
RAG & Vector Databases
Tableau, Alteryx, JMP

Dev & Tools

Git/GitHub
VS Code
SQL Developer
Oracle Data Modeler
React, Next.js

Experience

AI Engineering Co-Op @ Peak Nano

September 2026 – Present

Building AI and ML infrastructure for internal automation initiatives.

Agentic Data Analyst @ Seagate Technology

June 2026 – September 2026

Owned the weekly Customer and Product Master change review for RevOps, replacing a multi-workbook Excel process with a Power BI dashboard now run in Monday reviews across 140,000+ records.
Cut the weekly review queue 38% on customer records and 70% on product records by classifying changes on business priority, removing 10,000+ irrelevant rows.
Narrowed a product status cleanup backlog from 90,000+ records to under 20 actionable ones by using lifecycle status as supporting evidence.
Automated the weekly missing-PO escalation by reverse-engineering the manual business rules, matching the analyst's output on all 150+ records with zero variance across 6 levels.
Built deterministic validation with a quarantine queue that blocked 25% of incoming loads from reaching reporting, and exposed results through a read-only MCP layer that cut agent access to raw data from 16,000+ rows to zero.

Product Management Co-Op @ Schaeffler

January 2026 – May 2026

Expanded competitive coverage from 25 to 32 manufacturers across the U.S. and Canada, profiling each across 7 attributes: brand, HQ, segment, sales model, revenue, ownership, and market status.
Cut 5 of 25 original entries — 20% of the list — after finding they were distributors, retailers, or OE-only suppliers rather than competitors, then re-audited all remaining entries against manufacturer-only criteria.
Built competitor pricing coverage from 0 to 50+ SKUs, producing the pricing-tier axis that positioned all 32 manufacturers across 4 quadrants.
Delivered a 10-slide analysis to product management leadership and the Strongsville VP covering 6 geographic clusters, 5 revenue tiers, 6 buying drivers, 8 competitor USP profiles, and 4 identified market gaps.
Raised ACES/PIES spec completeness from 0% to ~53% across 30 SKUs, reaching 100% on 10 and identifying source-data gaps that capped the remaining 20.

AI & Machine Learning Extern, Outamation Inc. @ Extern

September 2025 – December 2025

Built end-to-end Python pipelines to extract and structure data from unstructured PDFs.
Applied NLP and large language models to create AI-powered document search and retrieval tools.
Integrated OCR and computer vision methods for accurate mortgage data parsing.
Prototyped RAG-powered chatbots for interactive, document-based Q&A.

Student Technology Assistant @ University of Akron School of Law

August 2025 – December 2025

Provided daily IT support for 100+ faculty, staff, and students, resolving hardware, software, and network issues.
Maintained and troubleshoot A/V systems to ensure smooth delivery of hybrid and in-person classes.
Configured and update Windows/macOS devices to keep the law school’s IT infrastructure reliable.

IT Intern @ MFS Supply

May 2025 – August 2025

Built a NetSuite calendar in JavaScript that let installers reschedule jobs by dragging on a tablet, replacing a four-step office lookup and edit across 1,000+ purchase orders.
Designed and deployed Freshdesk automations and workflows, cutting manual ticket handling and response times.
Resolved 100+ tickets/month and repaired 10+ machines weekly, supporting 250+ employees across hardware and software.

Systems Engineer Intern @ Supermercado Brazil

May 2021 – August 2021

Audited and improved IT infrastructure, reducing recurring technical issues by 30%.
Delivered responsive Tier 1 support to ~15 employees, including the CEO.
Trained staff on data entry and reporting best practices, reducing errors and improving accuracy.

Research

AI Research Fellow @ Algoverse

June 2026 – Present

Conducting LLM safety research on audit budget allocation under adversarial conditions, targeting peer-reviewed publication.
Built the dataset normalization and monitor scoring pipeline behind the team's analysis, deploying a self-hosted 27B model on Azure A100s.

Undergraduate Research Assistant - Computer Vision @ The University of Akron

January 2026 – Present

Benchmarking YOLO, RT-DETR, and EfficientDet on custom thermal and visual datasets captured with FLIR hardware.
Building preprocessing and experiment pipelines to improve robustness on imbalanced real-world data.
Authoring findings as first author under faculty supervision.