Harsha Vardhan Vasa
Austin,TX
Summary
AI Engineer with experience across machine learning, MLOps, and DevOps-oriented workflows. Skilled in building end-to-end ML pipelines, experiment tracking, model deployment, and CI/CD automation. Strong focus on delivering scalable, reproducible, and production-ready AI systems using cloud-native and containerized infrastructure.
Overview
4
4
years of professional experience
Work History
AI Engineer
Aptech Staffing
08.2025 - Current
- Design, develop, and deploy machine learning models supporting intelligent, data-driven applications.
- Collaborated with cross-functional teams to integrate machine learning models into scalable applications, focusing on model evaluation, performance optimization, and deployment readiness.
Salesforce Developer Intern
SmartInternz
07.2022 - 04.2023
- Configured Salesforce applications and implemented automation to support business workflows.
- Assisted in optimizing Salesforce workflows by analyzing business requirements and implementing secure, maintainable automation solutions.
Machine Learning Intern
Indian Servers
09.2021 - 07.2022
- Contributed to ML model development, data preprocessing, and predictive analytics on real-world datasets.
- Supported model evaluation and optimization by experimenting with different algorithms and features to improve predictive performance.
Education
Master of Science - Computer Science
University of Dayton
Dayton, OH05.2025
Bachelor of Technology - Computer Science
Vardhaman College of Engineering
09.2023
Skills
- Machine learning and deep learning
- Computer vision
- Model training and evaluation
- Feature engineering
- MLOps and CI/CD
- Containerization with Docker
- Automation techniques
- Model deployment strategies
- Infrastructure as code (IaC)
- Cloud platforms: AWS and GCP
- MLflow for model management
- Version control with Git
- Linux operating system
Projects
End-to-End MLOps Pipeline with CI/CD and Model Deployment
Jan 2025 – Apr 2025
- Designed and implemented an end-to-end MLOps pipeline integrating machine learning workflows with DevOps best practices.
- Containerized inference services, automated build and deployment using CI/CD pipelines, and integrated model versioning to ensure scalability and reproducibility.
MLOps Pipeline Using MLflow
Jul 2024 – Nov 2024
- Built an ML pipeline using MLflow for experiment tracking, model versioning, and lifecycle management.
- Logged model parameters, metrics, and artifacts to compare experiments and registered trained models for deployment readiness.
Product Authentication and Counterfeit Elimination Using Blockchain
Mar 2023 – Jun 2023
- Engineered a blockchain-based product authentication system using Hyperledger Fabric and Ethereum.
- Achieved 99% counterfeit detection accuracy and reduced verification time by 50% through tamper-evident blockchain records.
Detection of Potato Leaf Diseases Using Deep Learning
May 2022 – Aug 2022
- Developed a deep learning-based computer vision system achieving 98% accuracy.
- Optimized disease identification workflows and designed a user interface to improve diagnostic efficiency.
Certifications
Cybersecurity Essentials, Git for Beginners, Introduction to Cybersecurity, Introduction to IoT, Learning Linux Basics.
Publication
Mitigating Counterfeiting Using Blockchain Enabled Product Authentication
International Journal for Research in Applied Science & Engineering Technology (IJRASET).
Timeline
AI Engineer
Aptech Staffing
08.2025 - Current
Salesforce Developer Intern
SmartInternz
07.2022 - 04.2023
Machine Learning Intern
Indian Servers
09.2021 - 07.2022
Master of Science - Computer Science
University of Dayton
Bachelor of Technology - Computer Science
Vardhaman College of Engineering