Open to full-time SWE & AI Infrastructure roles

Hello!

I'm Zohayb,
Software Engineer

I build the CI/CD, Kubernetes, and automation that help AI ship faster.

Faster AI/ML tests at IBM

Engineering roles

Portfolio Hire me

Resume

My Expertise

I turn slow, manual, and fragile engineering workflows into fast, automated, and observable systems, from bare-metal AI accelerators to policy-as-code.

AI/ML Infrastructure

Built Kubernetes CI/CD on bare-metal IBM Power with Spyre AI accelerators, using ephemeral pods so expensive hardware is only used when it's needed.

CI/CD & Pipeline Automation

Tekton, Jenkins, and GitHub Actions. Replaced sequential Jenkins runs with a 9-pod parallel pipeline that made AI/ML tests 6x faster.

Security & Compliance Automation

Policy-as-code with OSPS Baseline, NIST 800-53, and SSDF. Gemara workflows, Privateer scanners, and SARIF output that cut false positives by ~80%.

Hardware Test Automation

Raspberry Pi, computer-vision LED detection, Playwright, Telnet/SSH, and REST APIs that turned a 45–90 minute manual workflow into one automated run.

Applied AI & LLM Apps

GPT-4, LangChain, RAG, NLP, and Sentence Transformers. Built PDF chatbots, resume embedding services, and AI-assisted log triage.

Full-Stack Engineering

React and TypeScript front ends, Go, FastAPI, and Flask services, and PostgreSQL, MongoDB, Redis, and Firebase, from 15+ page production UIs to APIs.

My Work Experience

IBM

May 2026 – Aug 2026 · Austin, TX

Software Engineer Intern

Spyre CI/CD Modernization · Kubernetes & Tekton · Hardware Test Automation

6x faster AI/ML tests

Spyre CI/CD Modernization

Architected Kubernetes-based CI/CD on bare-metal IBM Power hardware with Spyre AI accelerators, migrating persistent Jenkins agents to ephemeral pods for on-demand hardware utilization.
Engineered a 9-pod parallel Tekton pipeline to replace sequential Jenkins execution, achieving a 6x reduction in AI/ML test runtime and successfully validating the POC for broader CI/CD implementation across Spyre infrastructure.

Bobbotics Hardware Test Automation Tool

Engineered an end-to-end hardware testing pipeline using Python, Playwright, Raspberry Pi, computer vision, Telnet/SSH, and REST APIs, automating a 45–90 minute manual workflow.
Automated ASMI test triggering, camera-based LED detection, hardware validation, and Jazz ETM reporting, producing machine-readable test evidence with minimal manual intervention.

KubernetesTektonJenkinsIBM PowerSpyrePythonPlaywrightRaspberry PiComputer Vision

Software Engineer

AI-Enabled Wearables · Defect Triage Pipeline · 24-hour SLA

~95% triage accuracy

Revanite

Jul 2025 – Jan 2026 · Austin, TX

Software Engineer

Compliance Automation in Go · OSPS Baseline · NIST 800-53 · SSDF · Policy-as-Code

~80% fewer false positives

Fintrady

2025

AI Systems Engineer

Options Analytics · GARCH + LSTM Volatility Forecasting · Portfolio Reporting

Fintech startup

My Education

Amberton University

Expected May 2028 · Garland, TX

Master of Science in Applied AI

In progress

The University of Texas at Austin

December 2024 · Austin, TX

Advanced AI Certificate in AI/ML: Business Applications

St. Edward's University

December 2023 · Austin, TX

Bachelor of Science in Computer Science

Why Hire me?

I build the infrastructure that helps AI ship faster. At IBM I modernized CI/CD for the Spyre AI accelerator platform on IBM Power, cutting test runtime 6x with Kubernetes and Tekton. At Meta I triaged defects for AI-enabled wearables with ~95% accuracy under 24-hour SLAs. At Revanite I built compliance automation in Go that reduced false positives by ~80%. At the fintech startup Fintrady I built GARCH + LSTM volatility forecasting and options analytics. Now I'm pursuing an M.S. in Applied AI and staying hands-on wherever tech creates opportunity.

Faster AI/ML Test Runtime: 0x
Triage Classification Accuracy: ~0%
Fewer False Positives: ~0%
Parallel Tekton Pods: 0
Production UI Pages Shipped: 0+
Public GitHub Repos: 0+

Hire me

GoPythonTypeScriptJavaScriptBash / ShellFastAPIFlaskReactNode.jsGroovyGPT-4LangChainNLPRAGPostgreSQLSQLMongoDBRedisFirebaseDockerKubernetesTektonOpenShiftJenkinsGitHub ActionsCI/CD PipelinesJFrog ArtifactoryGitGitHubJiraPodmanAqua SecurityGaraSignGoPythonTypeScriptJavaScriptBash / ShellFastAPIFlaskReactNode.jsGroovyGPT-4LangChainNLPRAGPostgreSQLSQLMongoDBRedisFirebaseDockerKubernetesTektonOpenShiftJenkinsGitHub ActionsCI/CD PipelinesJFrog ArtifactoryGitGitHubJiraPodmanAqua SecurityGaraSign

Let's have a look at my Portfolio

See All

AI Infrastructure

Spyre CI/CD Modernization

Moved IBM's Spyre AI accelerator testing from persistent Jenkins agents to ephemeral Kubernetes pods running a 9-way parallel Tekton pipeline.

IBM · 2026 — 6x faster AI/ML tests

Read case study →

Hardware Automation

Bobbotics Hardware Test Automation Tool

End-to-end Raspberry Pi and computer-vision pipeline that triggers ASMI tests, reads server LEDs by camera, and files Jazz ETM evidence on its own.

IBM · 2026 — 45–90 min flow automated

Read case study →

Security & Compliance

Continuous Compliance as Code

Go pipelines aligned to OSPS Baseline, NIST 800-53, and SSDF, with Privateer scanners emitting SARIF into GitHub-native CI/CD.

Revanite · 2025 — ~80% fewer false positives

Read case study →

Fintech

Options Strategy Analyzer

Fintrady

Options trading toolkit that turns a ticker, a days-to-expiry window, and a max-loss budget into an iron condor with strikes, net credit, and max loss, checked against OptionStrat. It ranks cash-secured puts and covered calls by expiry, strike distance, and annual ROI, and reports a Run Rate (options P/L minus protective put cost) across weekly, monthly, and overall performance summaries.

Node.jsExpressGPT-4o miniOptions AnalyticsPortfolio Reporting

Fintech Private repo

GARCH + LSTM Volatility Forecaster

Fintrady

PyTorch forecasting engine that combines GARCH volatility models with LSTM networks to predict stock prices and volatility, with confidence scoring, a backtesting framework, an options pricing optimizer, and a trade execution agent. Includes a distilled ~50K-parameter model tuned for iron condors alongside the ~500K-parameter hybrid.

PythonPyTorchGARCHLSTMBacktestingyfinance

AI & ML Private repo

IBM Intelligent Documentation Copilot

IBM Bobathon 2026

Hackathon build for IBM's Bobathon 2026 (Integration Track): a context-aware assistant on IBM Bob that answers questions with your code and task in mind. It connects a Context7 MCP server for live semantic search over IBM docs, adds a custom IBM Docs Copilot mode, and ships a skill that flags deprecated IBM APIs in open files with migration snippets.

IBM BobMCPAI AgentsContext7Developer Tooling

AI & ML

Recruiter.Ai

Resume embedding service that cleans resume text and generates embeddings with Sentence Transformers (all-MiniLM-L6-v2). Containerized with Docker and deployed to Kubernetes on AWS EKS through a GitHub Actions CI/CD pipeline.

PythonSentence TransformersDockerKubernetesAWS EKSGitHub Actions

AI & ML

MultiPDF RAG Chatbot

Streamlit web app that reads and processes multiple PDFs so you can ask questions about them through a conversational AI chatbot using retrieval-augmented generation.

PythonRAGLangChainStreamlitLLMs

Apps & Tools

ContactAutomation

Sends personalized beat packs to artists through the Gmail and Google Drive APIs. Each pack has 3–5 random beats and a usage agreement, with 30-day duplicate prevention, per-artist pack numbering, a full CLI, and an optional dashboard and Discord bot. A companion pipeline sorts the beat vault by genre on Google Drive and prepares scheduled uploads, titles, and tags for genre-specific YouTube channels.

PythonGmail APIGoogle Drive APIYouTube Data APIOAuth 2.0CLI

Apps & Tools

BlackJack in Go

Command-line Blackjack built test-first in Go, with a clean internal package layout, dealer AI that hits on 16 and stands on 17, and close to 100% test coverage.

GoTDDCLI

AI & ML

Plant Seedling Classification

Convolutional neural network that sorts plant seedlings into species, aimed at cutting the manual work of telling crops from weeds in agriculture.

Deep LearningCNNComputer VisionJupyter

AI & ML

Credit Card Churn Prediction

Classification model for Thera Bank that predicts which customers will cancel their credit cards, so the bank can improve its services and keep them.

Machine LearningClassificationPython

AI & ML

AllLife Bank Loan Campaign

Predicts whether a liability customer will buy a personal loan, finds the customer attributes that drive purchases, and identifies which segments to target.

Machine LearningCustomer SegmentationJupyter

AI & ML

FoodHub Data Analysis

Exploratory data analysis of a food-delivery platform's orders to find demand patterns and actionable business insights.

Data AnalysisPythonJupyter

Team & Coursework

WeGo Autonomous Delivery

Seven-person, seven-sprint semester project using transportation as a service to help patients and healthcare professionals. I rotated through Data Manager, Backend, QA, and Scrum Master roles, and we demoed to stakeholders.

PythonAgile / ScrumSDLCScrum Master

Team & Coursework

GoFit iOS

Fitness tracker built for a mobile programming course that tracks exercise, monitors nutrition, sets fitness goals, and reports progress.

SwiftStoryboardiOS

See everything on GitHub

Open Source

Hands-on in the OpenSSF security ecosystem: Privateer scanners, Gemara governance workflows, and OSPS Baseline assessments running in GitHub-native CI.