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Software Engineer

HHAeXchange

Coordination . Maintenance . Automation . Backup . Collaboration . Documentation . Training . Alerting . Monitoring

• DevOps
• CloudOps
• Incident Management

Software Engineer

HHAeXchange

Troubleshooting . Analysis . Solutions . Training . Documentation . Monitoring . Reviews . Automation . Scripting

• Site Reliability Engineering
• System Operations Engineer

BS

The University of Texas at Dallas

Computer Science

• Discrete Mathematics for Computing
• Computer Architecture
• Probability and Statistics in Computer Science
• Data Structures and Introduction to Algorithmic Analysis
• Systems Programming in UNIX
• Digital Logic and Computer Design
• Database Systems
• Operating Systems Concepts
• Advanced Algorithm Design and Analysis
• Automata Theory
• Artificial Intelligence
• Introduction to Machine Learning
• Compiler Design
• Data and Applications Security
• Computer and Network Security
• Introduction to VLSI Design

AS

Collin College

Computer Science

• Calculus
• Discrete Mathematics for Computing
• Programming Fundamentals
• University Physics

A Comparative Analysis of the Machine Learning Methods for Predicting Diabetes

SCIENTIFIC OASIS

Diabetes can lead to various health problems and complications, such as cardiovascular disease, kidney damage (nephropathy), eye issues, neuropathy, and foot ailments. In this study, we compare the performance of nine machine-learning classification models in predicting diabetes.

Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction

IEEE

Globally, cardiovascular diseases (CVD) are estimated to account for more than 32% of all deaths. Consequently, CVD has become a global health problem, and timely diagnosis is essential (WHO, 2021). Screening for risk factors accelerates the diagnosis and management of CVD, resulting in a more effective and rapid response, reducing the risk of death. This article compares six classification models, AdaBoost, Random Forest, Decision Tree, KNN, Naive Bayes, and Perceptron, to predict CVD symptoms.

Kafka Consumer Manager

Developed a Kafka consumer manager application using Django and Python to manage consumers.

• Kafka
• Django
• Python

Big Data Monitoring

Implemented monitoring for 2M transaction weekly data points using best practices to ensure efficiency, cost optimization, and resource performance with Datadog and Python.

• Big Data
• Monitoring
• Datadog
• Python

Flipper Zero Programmer Calculator

Developed a calculator application designed to run on Flipper Zero.

• Flipper Zero
• C
• FURI

Datadog Custom Metrics Automation

Led Datadog automation to create custom metrics for database queries using Python and Datadog API.

• Python Scripting
• Datadog API Integration

Ansible Automation

Spearheaded system updates and patching automation with Ansible.

• Ansible Playbooks
• Automation

Datadog APM Analysis

Analyzed Datadog APM to forecast usage and failures with machine learning models.

• Datadog APM
• Machine Learning

Powershell Automation for Log File Management

Developed PowerShell scripts for daily log file management and disk cleanup, utilizing custom and built-in functions.

• PowerShell
• Automation

System Usage Analysis

Conducted system usage analysis with machine learning on large datasets using Python and scikit-learn.

• Python
• scikit-learn

Large Scale Data Analysis and Data Engineering

Implemented algorithms for large-scale data analysis and engineering using Python, Regex, .NET, and Shell.

• Data Analysis
• Data Engineering

Halo Collar Activity Recognition

Partnered with PAWS LLC to create a GPS and sensor-based machine learning model for dog activity recognition using Python and scikit-learn.

• Machine Learning
• Python

Protocol Design

Developed a CRSP-compliant communication protocol application using Python and Mininet.

• Protocol Design
• Python

Compiler Design

Researched and developed a compiler with lexical analysis and regular expressions in Java, Bash, and Lex.

• Compiler Design
• Java

Task Manager

Led the creation of an SQL-based task manager integrating multiple technologies for enhanced task management.

• SQL
• Task Management

Computer System Simulation

Executed a CPU and memory process simulation using C/C++, showcasing deep systems understanding.

• C/C++
• System Simulation

Digit Recognizer

Developed a digit identification system for handwritten images using Python and scikit-learn.

• Digit Recognition
• Python

Machine Learning Algorithms R&D

Researched and applied various learning algorithms, enhancing algorithmic knowledge and application.

• Machine Learning
• Algorithms

AI Knowledge Representation

Implemented a Prolog-based knowledge representation tool for sophisticated question-answering.

• Knowledge Representation
• Prolog

8 Puzzle Solver

Solved the '8 Puzzle' using advanced AI algorithms, demonstrating problem-solving acumen.

• AI Algorithms
• Problem Solving

ALU Design and Development

Researched and created a 32-bit ALU with 16 commands using Verilog HDL and VHDL.

• Verilog
• VHDL

Chat System Development

Developed a TCP/UDP chat system in a Unix environment, focusing on real-time network communication.

• TCP/UDP
• Network Communication

Bash CLI Development

Created a Bash CLI application in Unix, enhancing system interaction and command processing.

• Bash CLI
• Unix