About
Highly motivated and results-driven Product Engineer Intern with dual academic pursuits in Information Technology and Data Science. Leverages robust expertise in DevOps, Cloud infrastructure, and Machine Learning to optimize system performance, automate deployments, and develop innovative AI solutions. Eager to apply a strong foundation in scalable architecture and data-driven problem-solving to contribute to cutting-edge technical teams.
Work
X.Arterian
|Product Engineer Intern - DevOps
Remote, India, India
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Summary
Optimized cloud infrastructure and automated CI/CD pipelines for containerized applications, enhancing system efficiency and deployment reliability.
Highlights
Optimized Docker image sizes by 45% across 8+ microservices through multi-stage builds, significantly enhancing deployment efficiency and resource utilization.
Provisioned and managed 15+ cloud resources across AWS, GCP, Cloudflare, and MongoDB Atlas using Terraform, ensuring scalable and robust infrastructure.
Developed and deployed 6+ GitHub Actions CI/CD pipelines, enabling automated tests and zero-downtime deployments for critical microservices.
Monitored deployments and logs with GitHub Actions and Bash, catching and resolving failures within 2 minutes on average, significantly improving system uptime.
Collaborated with cross-functional engineering teams to design and implement software development solutions, ensuring smooth operations through rigorous testing and production oversight.
Education
Indian Institute of Technology (IIT) Madras
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Bachelor of Science
Data Science and Applications
Courses
Statistics
Data Analysis
Python Programming
Artificial Intelligence
Big Data Technologies
Security
Machine Learning
Deep Learning
Guru Gobind Singh Indraprastha University
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Bachelor of Technology
Information Technology
Courses
Data Structures
Algorithms
Computer Science Fundamentals
Database Management Systems (DBMS)
Software Development
Machine Learning
Agile Methodologies
Troubleshooting
Web Development
Neural Networks
Data Analysis
Skills
Programming Languages
Python (Advanced), Go, Bash, Java, C++, SQL.
Web Development
FastAPI, Flask, Django, Vue.js, Gin, REST APIs, Nginx, JavaScript.
DevOps & Cloud
Docker, Kubernetes, Terraform, AWS, GCP, Azure, Cloudflare, GitHub Actions, Git, Linux, SSL/TLS Management, CI/CD Pipelines, MLOps, ZenML.
Databases
PostgreSQL, MySQL, MongoDB, Redis, MS SQL.
Data & Machine Learning
NumPy, Pandas, Scikit-Learn, Statistical Analysis, Machine Learning, Deep Learning, PyTorch, TensorFlow, Neural Networks, Data Visualization, Statistical Modeling.
Professional Attributes
Critical Thinking, Collaborative Problem Solving, Strategic Planning, Reliability, Security, Performance Focus.
Projects
Awards
Finalist - Dataset 4.0
Awarded By
Team Nemesis
Achieved finalist status (top 5% of 100+ participants) as part of Team Nemesis, developing advanced ML models for predictive analytics.
3rd Place - CodeHive Hackathon
Awarded By
CodeHive
Secured 3rd place among 50+ competing teams by building an Ethereum DApp using Solidity and Web3.js to display real-time blockchain transaction feeds.