Manan Santoki

DevOps Engineer @ Balkrushna Technologies Pvt. Ltd.

About

Currently pursuing a Master of Science in Computer Science at Arizona State University, I am passionate about leveraging my skills in cloud infrastructure, cloud services, and artificial intelligence to contribute to innovative projects. My academic journey enables me to build on my technical background and apply my knowledge to evolving challenges in the tech industry. With prior experience as a DevOps Engineer at Balkrushna Technologies, I contributed to developing CI/CD pipelines, creating automated scripts, and building an AI chatbot using advanced machine learning techniques. My goal is to combine my education and industry expertise to drive impactful, scalable solutions in technology-driven environments.

Country

United States

City

Tempe

Industry

Information Technology & Services

Skill

Cloud Infrastructure, Cloud Services, Artificial Intelligence (AI), System Deployment, Project Management, Linux System Administration, Continuous Integration (CI), Amazon Web Services (AWS), Web Development, Cloud Computing, Linux Server, DevOps, Machine Learning, Software, Self Learning, Continuous Delivery (CD), Deep Learning, Google Cloud Platform (GCP), Full-Stack Development, Software Development

Experience

DevOps Engineer

Balkrushna Technologies Pvt. Ltd.

2025-1 - 2025-7 · 7 mos

Vadodara, Gujarat, India

Freelance Web Developer

2023-11 - 2025-7 · 1 yr 9 mos

Developed a full-stack MERN platform for land transactions with Google Maps integration and Razorpay payments. [https://bhoopati.com] Built a comprehensive attorney booking e-commerce platform with real-time video consultations and secure chat functionality. [https://octafiles.com]

DevOps Engineer

Balkrushna Technologies Pvt. Ltd.

2023-9 - 2023-12 · 4 mos

Vadodara, Gujarat, India

- Set up infrastructure and developed CI/CD pipelines using Jenkins to automate deployments. - Created automated scripts for server communication, enhancing system robustness. - Developed an AI Chatbot using open-source tools, fine-tuned LLMs, and used reinforcement learning for improved performance.