Work experience

• Research Assistant

  University of South Florida

  2024.01-2025.05

  (a year)

  (1 year 5 months) • Designed and streamlined machine learning pipelines by automating data ingestion and preprocessing using Python, Spark, and Pandas, improving research scalability. • Built and deployed ML models on AWS & Docker/Kubernetes with CI/ CD pipelines (Jenkins, GitLab CI/CD), cutting deployment time by 40% and ensuring reproducibility. • Provisioned cloud infrastructure as code using Terraform & Ansible, reducing manual setup by 50% and strengthening collaboration with IT and research teams. • Monitored model performance with MLflow dashboards and custom metrics, detecting data drift and maintaining stability of production research systems. • Partnered with cross-functional teams to support academic research, ensuring compliance with university IT security policies and cloud best practices. Top Five Skills: • AWS & Azure Cloud • Python Automation & Scripting • Docker & Kubernetes Deployment • Terraform/Ansible (IaC) • MLflow Monitoring & Data Visualization
• DevOps Engineer

  Tata Consultancy Services

  2021.10-2023.08

  (2 years)

  2 years 1 month (1 year 11 months) • Build automated CI/CD pipelines for both backend and frontend applications, ensuring smooth development, testing, and deployment processes. • Set up and maintain AWS infrastructure using Terraform, ensuring scalability, security, and cost-effectiveness based on project needs. • Automate infrastructure provisioning and management through Terraform, enabling efficient deployments and minimizing manual intervention. • Manage application releases and production deployments, ensuring minimal downtime, smooth rollouts, and quick rollback strategies in case of failures. • Continuously monitor, optimize, and secure cloud environments, implementing best practices for high availability and compliance with industry standards. • Work closely with developers, DevOps teams, and stakeholders while maintaining comprehensive documentation for deployment processes and infrastructure management. • Analyze various technologies to determine how they interact and devise strategies for seamless builds, integrations, and deployments tailored to each tech stack. TOP FIVE SKILLS: • CI/CD Pipeline Automation (GitLab, Jenkins, GitHub Actions) • Infrastructure as Code (Terraform, CloudFormation) • AWS CloudOps & Cost Management • Observability & Monitoring (CloudWatch, Python) • Production Deployment & Release Engineering
• Software Engineer

  University of South Florida

  2021.08-2022.01

  (6 months)

  • Led development of an AI-powered disease diagnosis web application deployed on AWS EC2, leveraging Flask APIs for real-time predictions. • Managed end-to-end MLOps workflow including model training, Docker- based deployment, and automated API hosting in Linux environments. • Implemented version-controlled infrastructure using Terraform and managed access control with IAM roles across services. • Delivered real-time model output visualizations via Matplotlib/Seaborn and embedded insights into Power BI dashboards for stakeholders. • Mentored junior engineers on AWS Lambda, S3, and model pipeline best practices to drive secure, scalable ML adoption across the team. TOP FIVE SKILLS: • MLOps Deployment on AWS EC2 + Lambda • Python-Based Model Integration & Automation • Infrastructure as Code (Terraform, Docker) • Data Visualization (Matplotlib, Power BI) • Security-First Cloud Architecture & IAM
• DevOps Engineer

  Adaps

  2020.08-2021.07

  (a year)

Educational experience

• University of South Florida

  Computer Science

  2023.08-2025.05

  (2 years)
• QIS College Of Engineering and Technology

  Computer Science(CSE)

  2017.07-2021.07

  (4 years)

Certificates