Ganesh Arkanath
Software Engineer @ Meta
About
Having worked as a Software Development Engineer for 2.5 years, I have honed my expertise in building and deploying features for SaaS and cloud-based software products. My passion for emerging technologies and innovation led me to pursue a Master's degree in Computer Science, focusing on Data Mining and Machine/Deep Learning. I am excited to leverage my software development experience alongside my newly acquired skills in machine and deep learning to solve complex problems and develop innovative solutions that drive business success.
United States
Redwood City
Computer Software
Python, JavaScript, Machine Learning, Deep Learning, SQL, Node.js, Angular, TensorFlow, TypeScript, React.js, Database Management System (DBMS), Java, MongoDB, Computer Vision, Back-End Web Development, Software Architecture, Continuous Integration and Continuous Delivery (CI/CD), Software Development, Responsive Web Design, Programming
Experience

Software Engineer
Suitcase Coder (Codeflight)
- Headed the development of a Gen AI based education and curated course generation platform Codeflight.

Software Engineer - AI/ML
- Architected the MVP of a data privacy and live monitoring platform using Next.js and Azure, implementing interactive charts, real-time alerts, and Q&A modules (chat with LLM) to validate core functionalities. - Pioneered the application server and integrated with Kafka for real-time monitoring, focusing on scalable data architecture.

Software Developer 2
Bangalore Urban, Karnataka, India
- Introduced a dashboard presenting feature announcements and recent activities, reducing access time by 20%. - Designed a calendar view for managing process schedules and recurrences, reducing navigation clicks to 3. - Innovated a file upload system for parameterized SQL files supporting CSV uploads and in-place edits, eliminating external tool dependency.

UI and Mobile Developer
Bangalore Urban, Karnataka, India
- Crafted a survey delivery system leveraging browser and device data, reducing data storage by 60%. - Enhanced user engagement by 23% by introducing multilingual support and GIFs based rating questions. - Initiated widget based surveys leading to a 30% surge in response rate. - Managed data cache and algorithm design to improve scalability and reduce API response time by 12%.

Computer Vision Intern
Bengaluru, Karnataka, India
- Developed a footfall counter using face detection and tracking to enhance understanding of customer behaviour in retail outlets, with an accuracy of 94%. - Improved model performance by 10% by offloading computation to the iGPU using Intel OpenVINO toolkit.
Ganesh Arkanath's Contact Information
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