Gayatri Patil

Software Engineer @ Omnistrate

About Gayatri Patil

Gayatri Patil is a Software Engineer with experience in developing backend systems for IoT-powered asset intelligence. She currently works as a Sr. Python Developer at QX Global Group and has a strong background in Google Cloud Platform and AI-driven projects.

Work at Omnistrate

Currently, Gayatri Patil serves as a Software Engineer at Omnistrate, having joined the company in 2023. In this role, she contributes to the development of software solutions, leveraging her expertise in backend systems and microservices architecture. Her position is based in Pune, Maharashtra, India, where she applies her skills in Python and deep learning to enhance the company's technological offerings.

Experience at QX Global Group

Gayatri Patil has been working as a Senior Python Developer at QX Global Group since 2023. In this role, she focuses on developing backend systems specifically for IoT-powered asset intelligence. Her experience in this position enhances her proficiency in deploying applications on the Google Cloud Platform (GCP), contributing to the company's innovative projects in Mumbai, Maharashtra, India.

Previous Employment at Emojent

Before her current roles, Gayatri worked as a Software Engineer at Emojent from 2021 to 2023. During her tenure, she was involved in projects that utilized emotion and behavioral science intelligence, applying AI and deep learning techniques to develop intelligent systems. Her work contributed to advancements in understanding human emotions through technology while based in Pune.

Background in Information Security

Gayatri Patil completed her M.Tech in Computer Engineering with a focus on Information Security at COEP Technological University from 2016 to 2018. This academic background provided her with a solid foundation in computer science principles, which she has applied throughout her career in software engineering and development.

Technical Skills and Expertise

Gayatri possesses strong technical skills in Python, particularly in deep learning modules and packages. She has expertise in building REST APIs and microservices architecture, which are essential for developing scalable and efficient software applications. Her understanding of Google Cloud Platform (GCP) further enhances her ability to deploy applications effectively.

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