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About

About Me

I am a dedicated professional with expertise in Cloud Engineering, DevOps, and Software Engineering, currently pursuing a Master of Science in Information Technology at the University of Cincinnati. My experience includes developing a predictive model with 85% accuracy for heart failure readmissions, automating high-severity ticket detection at Amazon, and enhancing deployment efficiency by 40% through a scalable CI/CD pipeline with Jenkins on GKE. Proficient in AWS, GCP, Docker, Kubernetes, Terraform, and Python, I am open to opportunities in Cloud Engineering, DevOps, and Software Engineering roles.

Skills and Technologies

Explore my expertise in various technologies and view my skills here

DevOps Logo
DevOps
Cloud Computing Logo
Cloud Computing
Machine Learning & Deep Learning Logo
ML & DL
Linux Programming Logo
Linux Programming
Database Management Logo
Database
Programming Logo
Programming

Certifications

Professional Certifications

Experience

Professional Experience

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June 2024 - Present

MLOps Engineer

University Of Cincinnati

The University of Cincinnati thrives on academic excellence, vibrant campus culture, and an innovative spirit.

  • Implemented machine learning models to analyze heart failure readmissions. Collaborating with the team to design and train a predictive model with 85% accuracy. Developed ETL pipelines for MIMIC-III dataset using PostgreSQL & Big Query.
  • Utilized Python, Postgres SQL and Google Big Query to clean, analyze, and model large datasets like MIMIC on cloud platforms, delivering valuable insights and improving outcomes, while also working in DevOps environments with Git and CI/CD pipelines.
  • Demonstrated commitment to continuous professional development by applying the latest machine learning & Deep Learning techniques and Cloud technologies to improve patient care strategies and streamlining development workflows.
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July 2024 - Present

Graduate Assistant

University Of Cincinnati

The University of Cincinnati thrives on academic excellence, vibrant campus culture, and an innovative spirit.

  • Analyzed five years of large-scale survey data from students and staff to extract meaningful insights and support data-driven decision-making.
  • Conveyed complex analytic insights and making them actionable for business improvements, continuously contributing to impactful decision-making.
  • Leading cross-functional teams and managing multiple priorities in a fast-paced environment, ensuring timely & accurate delivery
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January 2023 - June 2023

Application Engineer

Amazon

An E-Commerce Company

  • Developed a real-time ticketing data processing application, to optimize internal processes by automating the detection and reporting of high-severity tickets, reducing manual effort for managers and improving operational excellence by 15%
  • Streamlined ticket management processes by implementing workflows for JSON data ingestion and storage in Amazon DynamoDB, enhancing team efficiency and collaborating with cross-functional teams to drive project completion
  • Automated the process of parsing data and sending detailed reports via email, enabling managers to quickly assess team performance without reviewing each ticket manually
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January 2022 - November 2022

DevOps Engineer

Eduskills Foundation

EduSkills is a Non-profit organization which enables Industry 4.0 ready digital workforce in India.

  • Acquired practical skills in RHEL system administration, configuration, management, troubleshooting, containerization, orchestration and enhancing proficiency in Linux server environments by successful completion of RH124 and RH134 course work.
  • Developed expertise in efficient Linux system administration while performance tuning and network configuration
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May 2021 - Aug 2021

Summer Intern

Linux World Informatics Pvt. Ltd.

Linux World offers the program of industrial training in Jaipur for those students who have a burning desire for an IT career.

  • Acquired extensive hands-on experience in machine learning and deep learning concepts while gaining practical exposure to DevOps and Linux systems, and developed a deep learning model addressing a real-life problems.

Projects

Projects

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Predictive analysis of Heart Patients Re-admission
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CI/CD Pipeline with Jenkins on Kubernetes Engine
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Cloud Crafted – Kubernetes with Terraform
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Potential To Sev2 Notifier
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Predictive Cloud Resource Scaling Using Machine Learning and DevOps
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Emotion Recognition Through Speech Signals
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Four Character CAPTCHA Recognition System
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Project Dhrivikaar

Education

Academic Background

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January 2024 - May 2025

Master's in Information Technology

University of Cincinnati

Current CGPA : 4.0

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August 2019 - May 2023

Bachelor's in Information Technology

Sreenidhi Institute of Science and Technology

CGPA : 3.5

Get in Touch

Contact me

United States of America

+1 513-328-2956

aithasahith0214@gmail.com