Hey, I'm

Taha Amir

bash — taha@portfolio

taha@portfolio ~ % whoami

Taha Amir — Software Engineer

taha@portfolio ~ % cat about.txt

Software engineer focused on AI systems, full-stack development, and building reliable products that solve real problems.

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About Me

Education & Certifications

B.S. in Computer Science

Minor in Mathematics

2021 – 2025

Cum LaudeDean's List

ISTQB® Certified Tester – Foundation Level (CTFL)

Active

ISTQB®

2025

Test DesignSystem ReliabilitySDLC

Career Interests

AI Engineer

LLMs & ML Systems

Key Focus

RAG SystemsLLM AppsModel Evaluation

Software Development

Full-Stack Engineering

Key Focus

System DesignScalable APIsCloud Deployment

Data Science

Data Analytics

Key Focus

Statistical AnalysisPredictive ModelingData Visualization

Technical Skills

Programming Languages

PythonTypeScriptJavaScriptSQLJavaC++C#PHPRLaTeX

Frameworks & Libraries

ReactNext.jsReact NativeExpoFlaskPandasNumPy

AI/ML

OpenAIRAGLLMsEmbeddingsVector DatabasesPyTorchTensorFlowLangChain

Tools

REST APIsGitGitHubGitLabSupabaseFirebaseVercelPlaywrightSeleniumCursorClaude

Databases/Cloud

PostgreSQLMySQLMongoDBAWS (S3, Lambda, RDS)DockerKubernetesJenkins

CAREER

Experience

Paycom

Software Engineer

June 2025 – Present

Dallas, TX · Full-time

Developed full-stack CRM features using React and PHP MVC for Paycom’s internal platform, strengthening client-data operations, personnel management, and operational workflows serving 7M+ individuals.
Implemented PHP/SQL hierarchy validation and role-handling logic for the Paycom Personnel Table, improving hierarchy accuracy by 20% through enforced business rules across client and supervisor structures.
Improved CRM data reliability and debugging efficiency by 25% through SQL analysis, log-driven investigation, and cross-environment validation while resolving production issues.
Automated regression coverage for core CRM workflows, reducing manual testing effort by 20% and improving release confidence by building and maintaining scheduled test suites in Selenium and Playwright.

ReactPHPSQL

Klein Training

Software Engineer Intern

May 2024 – June 2025

Austin, TX · Internship

Built a full-stack cohort analytics dashboard using Python, Flask, and Firebase for the data science team, enabling self-serve retention and subscription analysis across 3,500+ users while reducing manual reporting by 35%.
Automated Firebase data export, parsing, and normalization pipelines for user and payment datasets using Python and Pandas, improving data quality and streamlining recurring analyses for internal reporting.
Analyzed user demographics, pricing trends, and subscriber behavior through weekly statistical workflows in Python, Pandas, and R to support growth strategy, segmentation, and pricing decisions.

PythonFlaskFirebasePandas

Real Houston FC

Semi-Professional Soccer Player

2024 – 2025

Houston, TX

Competed at a semi-professional level while balancing full-time academic and engineering work.
Collaborated with teammates and coaching staff to execute match strategy and maintain strong team performance.
Demonstrated discipline, consistency, and accountability through regular training, travel, and competitive matches.

SoccerTeamworkLeadership

Projects

NouriCare

Mobile app for home enteral feeding management, caregiver coordination, and supply tracking.

ExpoReact NativeTypeScriptSupabasePostgreSQLOpenAIVercel

2026tap to flip

NouriCare

NouriCare is a full-stack mobile health platform that turns static enteral feeding instructions into a shared workflow for patients and caregivers, supporting regimen management, feed logging, coordination, and supply tracking.

Shared care workflows for regimen management and feed logging
Real-time multi-user sync for patients and caregivers
OpenAI-powered document extraction, summarization, and supply forecasting

RAG Portfolio Assistant

Retrieval-augmented chatbot for answering questions about my experience and projects.

Next.jsTypeScriptOpenAISupabasepgvector

2026tap to flip

RAG Portfolio Assistant

RAG Portfolio Assistant is an AI chatbot that uses OpenAI embeddings and a Supabase pgvector store to semantically search resume and project content, retrieve the most relevant context, and generate accurate, efficient responses with built-in reliability controls.

Embedded resume and project data for semantic retrieval
Context-efficient top-8 chunk injection for response generation
Query guardrails with session and token tracking

GitHub

AthleteSimX

Object-oriented C++ athlete simulation with progression, persistence, and sport-specific behaviors.

C++OOPFile I/O

2025tap to flip

AthleteSimX

AthleteSimX is a menu-driven sports simulation built in C++ that models athlete progression across multiple sports using object-oriented design, randomized stat growth, retirement logic, and file-based save/load persistence.

Inheritance-based athlete system with sport-specific subclasses
Randomized stat progression and retirement condition logic
Menu-driven gameplay with save/load file persistence

GitHub

Cohortly

Cohort analytics platform for automating retention, subscription, and payment reporting.

PythonFlaskPandasRFirebaseHTML/CSS

2024tap to flip

Cohortly

Cohortly is an internal analytics platform developed for Klein Training to automate cohort analysis across user and payment data. The system used Python and Pandas for data ingestion and normalization, R for cohort analysis, and Flask for delivering a self-serve dashboard that helped teams monitor retention, engagement, and subscription trends.

Data pipelines for ingesting and transforming Firebase user data
Monthly cohort analysis for retention, engagement, and payments
Self-serve dashboard that reduced manual reporting by 35%

Rate Flow X

Fuel quote web app with pricing logic, full-stack account workflows, and tested backend services.

MySQLExpress.jsReact.jsNode.jsJestVercelAWS RDS

2024tap to flip

Rate Flow X

Fuel-X is a MERN-style full-stack application for generating fuel quotes using location, purchase history, requested gallons, and profit margin inputs. The platform supports secure registration, user profiles, quote submission, and quote history, and was built with a modular architecture and comprehensive Jest test coverage to improve maintainability and release reliability.

Rule-based fuel quote calculation across 200+ countries
End-to-end user workflows for registration, profiles, and history
Tested backend services with scalable modular design

Portfolio Website

Interactive portfolio platform with cinematic UI, custom animations, and a retrieval-augmented AI assistant.

Next.jsTypeScriptTailwind CSSFramer MotionOpenAISupabasepgvectorVercel

2026tap to flip

Portfolio Website

This portfolio website is a full-stack personal platform built with Next.js 15, TypeScript, and Tailwind CSS, designed to showcase projects and experience through a cinematic glass-inspired interface. It also includes a retrieval-augmented AI assistant powered by OpenAI embeddings and Supabase pgvector search, enabling context-aware answers grounded in portfolio and resume content.

Cinematic UI with custom theming, Framer Motion, and animated canvas visuals
AI portfolio assistant with embedding search and context-grounded responses
Scalable data-driven architecture for skills, experience, and project content

GitHub

CONTACT

Get In Touch

Let's build something amazing together.

Open to new opportunities, collaborations, or just a good conversation.

LinkedIn GitHub

Open to opportunities

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Have a question or want to work together? Drop me an email.

Get In Touch