Vini Bobato, MS
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PhD • ML/AI • Cybersecurity • AWS

Vinicius M. Bobato Engineering intelligence into secure systems.

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Ph.D. candidate in Computer Engineering with research experience in machine learning and data-driven systems. I build practical ML + cloud software—especially for security and automation.

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~/portfolio
vmb@portfolio $ whoami
Vinicius_Bobato

vmb@portfolio $ focus
School: TAMU
Degree: PhD_Computer_Engineering
Research: AI / ML / Cybersecurity

vmb@portfolio $ currently
software engineer @ Avika_Billing_Solutions
graduate researcher @ TAMU_PRISE

vmb@portfolio $ why
Because systems should think.
Because security should adapt.
Because enterprises deserve intelligence.

vmb@portfolio $ sudo hire vinicius
[sudo] password for recruiter:
Access granted.
Welcome to the future.

vmb@portfolio $ exit
There is no exit.
Builders don't stop.
            
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About

A quick snapshot of what I do and what I care about.

What I build

Secure web apps, cloud infrastructure, automation pipelines, and ML prototypes that can actually be tested and used. I like projects where performance, reliability, and security all matter.

What I’m optimizing for

  • Clear outcomes (time saved, accuracy improved, incidents reduced)
  • Security by default (WAF, least privilege, rate limiting)
  • Simple deployments that don’t break at 2AM

Experience

Software Engineer — Avika Billing Solutions LLC

Houston, TX • Aug 2025 – Present
  • Architected and deployed a HIPAA-aligned SaaS medical billing platform serving 100+ active users using Flask, AWS Elastic Beanstalk, RDS, and SES.
  • Designed secure ACH + credit card payment infrastructure (NACHA generation, webhooks, monitoring), reducing processing time by 70%.
  • Built cloud infrastructure + DevOps pipeline: SSL/TLS, domain management, CI/CD deployments, and database migrations.
  • Configured AWS WAF + rate-limiting policies to prevent abuse, contributing to 99% uptime.

Graduate Researcher — PRISE Project (ECEN Dept.)

College Station, TX • Aug 2023 – Present
  • Designed and trained a PyTorch model for malicious TCP traffic detection achieving 95% accuracy.
  • Processed and analyzed 100K+ packets using Pandas to identify anomalies and attack patterns.
  • Deployed trained models as Flask REST APIs for real-time inference in simulated production environments.
  • Conducted anomaly detection across cyber-physical attack scenarios using NumPy, Pandas, and Matplotlib.

Graduate Teaching Assistant — Texas A&M University (ETID Dept.)

College Station, TX • Jan 2024 – Present
  • Lead hands-on networking laboratory sessions using Cisco routers and switches to reinforce applied routing and switching concepts
  • Designed and implemented varied network topologies to demonstrate OSPF, BGP, RIP, VLANs, Trunking, DHCP, and STP configurations
  • Guided students in troubleshooting real-world networking scenarios using terminal commands across Linux and Windows systems
  • Provided individualized mentorship and technical support to help students achieve course objectives and develop workforce-ready skills.

Education

Texas A&M University — Ph.D Computer Engineering
GPA: 3.8 • College Station, TX
Texas A&M University — M.S. Engineering Technology
Thesis: Click Here
Grad Dec 2024 • GPA: 3.7 • College Station, TX
Texas A&M University — B.S. Electronic Systems Engineering Technology with Cybersecurity Minor
Grad May 2023 • GPA: 3.5 • College Station, TX

Relevant Coursework

AI • Deep Learning • Reinforcement Learning • Data Mining • Intelligent Agents • Data Analysis & Experimental Methods • Data Analytics for Cybersecurity • Embedded Systems Software Dev • Embedded Systems Intelligent Design • Project Management • Advanced Network Systems & Security • Industrial IoT

Projects

Technology I Use

Programming

Python C++ Bash JavaScript HTML CSS MySQL PSQL JSON

ML & Data

PyTorch TensorFlow Keras Scikit-learn OpenAI NumPy Pandas

Cloud & DevOps

AWS RDS S3 EC2 CloudWatch Docker Git Flask FastAPI

Networking

Linux Ubuntu Kali Wireshark TLS/SSL Cisco OpenVPN

Systems & Hardware

Raspberry Pi Arduino ESP32 STM32 Assembly

Languages

Portuguese (Native) English (Fluent) Spanish (Advanced)

Contact

Want to collaborate, hire, or talk projects? Easy.

One-liner

I build secure cloud software and ML prototypes that are measurable, shippable, and easy to maintain. If you have a messy workflow, performance bottleneck, or security problem—let’s fix it.

Houston / College Station • Open to roles + clients