About

About Me

I’m Sahith Aitha, an MLOps Engineer passionate about building intelligent ML systems that scale seamlessly from research to production. With experience across AWS and GCP, I design automated pipelines that ensure reliability, explainability, and real-time adaptability. My recent work includes deploying survival analysis frameworks in healthcare and developing RL-driven Kubernetes auto-scaling systems that optimize performance while reducing cloud costs. I love creating AI systems that don’t just predict — they evolve.

Skills and Technologies

Explore my expertise in various technologies and view my skills here

AI & DL

DevOps

Cloud Computing

Linux Programming

Database

Programming

Certifications

Professional Certifications

HashiCorp Certified: Terraform Associate (003)

Date Earned: February 2025

Google Cloud Certified Professional Cloud Architect

Date Earned: January 2025

Oracle Cloud Infrastructure 2023 Certified Associate

Date Earned: July 2024

Experience

Professional Experience

June 2025 - Present

MLOps Engineer

Preston Ventures, LLC

Preston Ventures is a leading asset manager focused on mortality-based financial products, such as life settlements, reverse mortgages, and other actuarial & longevity assets.

Built a model evaluation suite (AUC, Brier Score, Integrated Brier Score) for survival and risk models, improving interpretability and decision confidence across healthcare and asset-intelligence workloads.
Implemented data quality monitoring across 30+ data assets using OpenMetadata and SQL-based validation checks, preventing data drift and ensuring consistent, high-quality training datasets.
Automated the model lifecycle on AWS (EKS, S3, Lambda) orchestrated with Airflow, enabling continuous retraining, experiment tracking, and scalable, reliable production rollouts.

June 2024 - June 2025

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.

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

January 2022 - November 2022

Cloud-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

May 2021 - Aug 2021

Machine Learning Engineer

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.