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Asma Khan

Development
California, United States

Skills

Python

About

Asma Khan's skills align with Consultants and Specialists (Information and Communication Technology). Asma also has skills associated with Programmers (Information and Communication Technology). Asma Khan appears to be a low-to-mid level candidate, with 5 years of experience.
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Work Experience

Devops Intern

Abbvie
July 2023 - December 2023
  • Spearheaded Proof of Concept and crafted a versatile VPC wrapper module using Terraform, designed for the sandbox environment. • Achieved code modularity, scalability, and reusability, with the intent of seamless deployment across multiple environments in the future.

ScalOwl
March 2023 - March 2023
  • Implemented a custom Predictive Horizontal Pod Autoscaler (PHA) within a Kubernetes environment. Leveraged Dynamic Holt-Winters forecasting to predict resource requirements for containerized applications. • The project encompassed setup, data collection, forecasting algorithm integration, custom autoscaler development, and continuous monitoring. • Achieved efficient resource allocation, and improving application performance by reducing response times by 20% compared to traditional HPA across.

Weather Analyzer
December 2022 - December 2022
  • Developed a data analysis system using MapReduce techniques to determine the US states with the most stable temperatures by processing two datasets: weather station information and temperature recordings over a 4-year period. • Implemented data integration and aggregation processes to identify the months with the highest and lowest average temperatures, along with temperature differentials, resulting in valuable insights for weather analysis and prediction.

Devops Engineer

Noodle.ai
January 2020 - August 2022
  • Orchestrated automated infrastructure setup and deployments, seamlessly transitioning new customers to Kubernetes on both bare metal and cloud-managed platforms via Infrastructure as Code. • Streamlined build and deployment processes with Jenkins pipelines, managed production alerts, and established effective incident response protocols for enhanced reliability. • Took charge of monthly cloud resource cost analysis and executed innovative cost reduction strategies, resulting in a 40% reduction in infrastructure costs. • Led cross-functional team efforts for monthly releases to ensure smooth deployment and operation of applications and pioneered proof-of-concept initiatives for cutting-edge DevOps solutions.

Devops Engineer

Axcess.io
May 2018 - December 2019
  • Automated log analysis for application servers by orchestrating the efficient ingestion of logs into Elasticsearch using AWS Lambda functions. This implementation not only enhanced log visibility but also optimized log storage and retrieval. • Enhanced application scalability and availability, achieving a 30% reduction in downtime by implementing HPA based on custom metrics, cluster auto-scaling, and ALB for traffic routing. Projects

Education

University of California Riverside

Master of Science in Computer Science
September 2022 - March 2024

SRM University

Bachelor of Technology in Information Technology
May 2013 - June 2017