Humdaan Ahmad
Aurora, IL, USA ยท
ahumdaan@gmail.com
I am a young developer experienced in AWS, and many other different technologies, trying to make my way in the world of Computer Science.
Interests
Apart from being a developer, I enjoy outdoor activities like working out and playing basketball. I also love reading about new advancements in AI and cloud computing. In my free time, I like to work on side projects, listen to music, and explore different cuisines.
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Experience
Cloud Engineer/Data Analyst Intern
CVS Health
- Automated AWS infrastructure using Terraform, managing IAM, S3, and Autoscaling Groups to streamline deployments.
- Assisted the Cloud Development team in configuring Azure Virtual Machines (VMs) and Azure Blob Storage to support data analysis workflows.
- Implemented CI/CD pipelines with GitHub Actions to accelerate code delivery.
- Served as a temporary Scrum Master, facilitating agile meetings and ensuring efficient team coordination.
- Developed a REST API using Power Apps, centralizing information on applications and services.
- Configured AWS S3 buckets to store data and leveraged AWS Athena for efficient data querying and analysis.
April 2022 - August 2022
Student Volunteer
Islamic Center of Naperville
- Take part in organizing large events for youth program, such as basketball tournaments and retreats with 100+ participants
- Work with a team to organize lectures and dicussions.
- Help the team with financing for lectures, retreats and other events.
May 2018 - November 2019
Education
University of Illinois at Chicago
B.S. in Computer Science
August 2021 - 2024
Western Governors University
B.S. in Computer Science
July 2025 - Present
Skills
Programming Languages & Tools
Workflow
- Infrastructure as Code (IaC)
- Retrieval-Augmented Generation (RAG)
- Cross Functional Teams
- Agile Development & Scrum
Projects
Cloud Waste Optimization-as-a-Service [CLI Tool]
Python, AWS (EC2, RDS, S3, Lambda, DynamoDB), Terraform, CloudWatch, boto3 SDK, GitHub API
- Led a 3-developer team to build a Python CLI tool that reduced AWS costs by 30-40% through automated resource optimization.
- Scanned 5 AWS services (EC2, RDS, S3, Lambda, EBS) using boto3 and CloudWatch, identifying $50-500 monthly savings per finding.
- Deployed infrastructure using Terraform IaC with DynamoDB, S3, and Lambda, ensuring encrypted storage and least-privilege IAM.
- Built a rule-based analysis engine categorizing findings by severity (CRITICAL/HIGH/MEDIUM/LOW) with 95% accuracy in waste detection.
- Parsed Terraform files from GitHub using python-hcl2 to identify misconfigurations before production deployment.
- Processed 100+ resources per scan in under 60 seconds with DynamoDB persistence and CloudWatch monitoring
Kubernetes Microservices Deployment w/ AWS EKS
AWS EKS, Docker, Terraform, React.js, Flask, JWT, FastAPI
- Designed and deployed a scalable microservices architecture on AWS EKS using Terraform for infrastructure automation.
- Implemented JWT authentication for secure communication between a FastAPI authentication service, backend service, and React frontend.
- Containerized all services using Docker, and orchestrated deployment with Kubernetes for high availability and scalability.
- Configured AWS Load Balancer and Ingress for traffic management, ensuring secure access to protected backend services.
- Established a CI/CD pipeline using GitHub Actions for seamless code deployment and container image management on AWS ECR.
- Utilized AWS IAM for secure access control, following best practices for Kubernetes role-based access control (RBAC).
Cloud Resume/Portfolio Project
HTML, CSS, Python, Node.js, S3, CloudFront, Route53, Terraform, DynamoDB
- Designed and deployed a serverless personal resume website using AWS S3, CloudFront, and Route 53, ensuring high availability and low latency.
- Implemented Infrastructure as Code (IaC) with Terraform, automating the provisioning of AWS resources including S3, DynamoDB, API Gateway, and Lambda.
- Developed a Python-based AWS Lambda function to track and update visitor counts, integrating with DynamoDB for persistent storage.
- Created a RESTful API with AWS API Gateway, enabling dynamic interactions between the frontend and backend services.
- Established a CI/CD pipeline with GitHub Actions, automating Terraform deployments and frontend updates to AWS.
- Enforced AWS security best practices, implementing IAM roles, least privilege policies, and CloudWatch monitoring for enhanced security and observability.
Multi-Agent AI Fitness Assistant w/ RAG Architecture
Python, LangFlow, AstraDB, OpenAI GPT-4o API
- Developed a Multi-Agent AI Fitness Assistant using Python, LangFlow, and OpenAI GPT-4o Mini API to provide personalized fitness and nutrition recommendations.
- Designed and implemented AI-powered agents for fitness assistance and macro-nutrient planning, leveraging LangFlow's workflow automation.
- Integrated AstraDB Vector Database to store and retrieve user profiles and fitness notes, enabling context-aware AI responses.
- Built an interactive front-end using Streamlit, allowing users to set goals, track fitness progress, and receive AI-driven insights.
- Implemented API-driven backend architecture, extracting and integrating API calls from LangFlow, OpenAI, and AstraDB for seamless data processing.
- Enhanced AI decision-making by incorporating a conditional routing mechanism for fitness-related calculations and personalized recommendations.
Go-Lang Event Booking REST API
Go, Gin Framework, Golang-JWT, Crypto/Bcrypt, SQL DB
- Developed a scalable REST API in GoLang for event booking, enabling user registration, event management, and secure authentication.
- Implemented JWT-based authentication to protect sensitive API endpoints, ensuring secure user access and event ownership validation.
- Built event management features with CRUD operations using the Gin framework, enforcing role-based access control for event modifications.
- Designed and integrated a SQLite database with Go-SQLite3 for persistent storage, handling event and user data efficiently.
- Enhanced security with bcrypt password hashing, preventing plain-text password storage and ensuring secure user authentication.
- Structured the project for maintainability, organizing routes, authentication middleware, and database handling in modular components.
Discord Bot Controlled AWS Minecraft Sever
EC2, Lambda, Discord API, Terraform, Python
- Designed and deployed an automated Minecraft server management system using AWS EC2, Lambda, and API Gateway, enabling remote control via a Discord bot.
- Developed a Discord bot in Python to handle /start and /stop commands, integrating with AWS services for seamless server control.
- Implemented AWS Lambda functions to start and stop EC2 instances dynamically, optimizing server uptime and cost efficiency.
- Provisioned and managed cloud infrastructure using Terraform, ensuring reproducibility and scalability of AWS resources.
- Configured a persistent Discord bot on an EC2 instance, utilizing a systemd service for continuous uptime and reliability.
- Established a secure API endpoint via AWS API Gateway, allowing authenticated interactions between the Discord bot and AWS Lambda.
Certifications
- AWS Certified: Cloud Practitioner
- AWS Certified: Developer Associate
- AWS Certified: Solutions Architect Associate
- HashiCorp Certified: Terraform Associate (003)
- Microsoft Certified: Azure Fundamentals
