SAMEE RAUF

AI & Software Engineer

Building reliable, observable AI systems and automation that scale from prototype to production.

Tools & Technologies

My comprehensive skillset enables me to design, develop, and deploy end-to-end solutions across AI, full-stack development, and cloud infrastructure.

AI & Machine Learning

  • Generative AI: LangChain, GPT-4, Gemini API, RAG Systems
  • Machine Learning: Python, Scikit-Learn, Predictive Analytics
  • Data Processing: Qdrant, Vector Embeddings
  • Forecasting & Causality: regression modeling, feature engineering, experiment design

Full-Stack Development

  • Languages: Python, Java, JavaScript, C++
  • Backend: Node.js, Express.js
  • Frontend: React.js, HTML5, CSS3
  • Databases: MySQL, Firebase, SQLite
  • Product Practices: UX iteration, stakeholder feedback loops, onboarding & docs

Cloud & DevOps

  • Cloud: AWS (S3, Lambda), AWS Certified Cloud Practitioner
  • Infrastructure & CI/CD: Progress Chef, Git, GitHub
  • Observability: Datadog dashboards, SLIs/SLOs, structured logging, alerting
  • Delivery: alpha/beta programs, canary rollouts, feature flags

Engineering Principles

Beyond shipping code, I drive outcomes through sound architecture, observability, and tight feedback loops with users.

Architecture & Quality

  • Design reviews focused on scalability, maintainability, and clear ownership boundaries.
  • Fail-fast validation, deterministic transforms, and robust retry/backoff on external APIs.
  • Test coverage with pytest and CI checks.

Observability & Reliability

  • Datadog dashboards tracking SLIs (runtime, memory, API success rates, event counts).
  • Structured logs with error taxonomies; proactive alerts to prevent silent failures.
  • Cost-aware designs replacing legacy pipelines and reducing operational toil.

Product & Delivery

  • Alpha/beta releases to validate usability and de-risk launches.
  • Scrum practices (planning, demos, retros) with measurable iteration goals.
  • Onboarding guides, runbooks, and short Looms to accelerate adoption.

My Professional Journey

AI & Software Engineer

PMG, Dallas, TX

June 2024 – Present

  • Co-created a budget optimization platform combining weather APIs, historical sales data, and regression modeling with LangChain automation—protecting ROI during adverse conditions and improving campaign performance by ~5%.
  • Engineered an ad-creation automation system integrating with advertising APIs to generate bulk-upload sheets, saving 3–5 hours per campaign build per team member and enabling rapid scaling of launches.
  • Designed and deployed a domain-negation service that programmatically screens unsafe/low-value sites and publishes exclusions via API across 10+ accounts, reducing waste and brand risk.
  • Replaced a high-cost legacy pipeline with a scalable, API-driven offline-conversions architecture, cutting monthly costs, reducing technical debt, and achieving full observability with Datadog dashboards.
  • Drove engineering efficiency by refactoring internal applications into intuitive, single-click workflows; simplified onboarding and eliminated a silent failure, raising install success by ~80 percentage points.

Security Researcher

CSUF (The Walt Disney Project)

August 2023 – May 2024

  • Engineered an AI-driven automation system using an LLM within the GPT-4ALL ecosystem to generate and deploy reliable, audited system configurations, achieving a 35% reduction in management time.
  • Presented findings to Disney stakeholders.

Research Assistant

CSUF

May 2023 – July 2023

  • Trained a Random Forest model using Python and scikit-learn to classify student retention based on socioeconomic, macroeconomic, and academic factors, achieving 90% classification accuracy.
  • Presented research at the National Conference on Undergraduate Research.

Software Developer

CSUF (LA County Project)

July 2022 – February 2023

  • Architected and deployed a full-stack parking permit management system for LA County using React.js, Express.js, and SQLite.
  • Served over 1,000 users and streamlined the parking permit process.

Connected Portfolio

Explore a selection of projects demonstrating expertise in AI, full-stack development, and scalable solutions. Click on any project to view detailed insights and associated technologies.

Projects

Book Forum

NBA Statistics Platform

System Configuration Management

Core Technologies

React.js

Express.js

MySQL

Firebase

Large Language Models

Python

Progress Chef

Project Details

Click a project to see the details here.

Education

California State University Fullerton

Bachelor of Science, Computer Science (GPA: 4.0)

Cypress College

Associate of Science, Biology (GPA: 3.7/4.0)

Let's Connect

I'm excited about opportunities to collaborate on impactful projects. If you have a question or an idea, please don't hesitate to reach out.