Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an aspiring Data Scientist with a passion for building innovative machine learning systems. My journey has taken me through the realms of computer vision, speech recognition, and natural language processing, where I have honed my skills to deliver impactful solutions. I thrive on tackling complex problems and am committed to continuous learning and growth in the AI landscape.…

Pasupuleti Siva Sankar Sai Prasad

Data Scientist, AI Engineer, Data Analyst





I am an aspiring Data Scientist with a passion for building innovative machine learning systems. My journey has taken me through the realms of computer vision, speech recognition, and natural language processing, where I have honed my skills to deliver impactful solutions. I thrive on tackling complex problems and am committed to continuous learning and growth in the AI landscape.…

Available to hire

I am an aspiring Data Scientist with a passion for building innovative machine learning systems. My journey has taken me through the realms of computer vision, speech recognition, and natural language processing, where I have honed my skills to deliver impactful solutions. I thrive on tackling complex problems and am committed to continuous learning and growth in the AI landscape.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Deep Learning Research Intern at MATIC, MaDeIT Innovation Foundation

December 1, 2024 - May 1, 2025

Developed a mango yield prediction and classification system using advanced models, achieved robust generalisation, and ensured efficient training on limited hardware.

Intern at Samsung R&D Institute India

September 1, 2024 - March 1, 2025

Contributed to an award-winning research project on multimodal emotion recognition for low-resource languages, achieving significant performance improvements and optimizations for real-time inference.

Samsung PRISM Intern at Samsung R&D Institute India

September 1, 2024 - March 1, 2025

Developed a real-time multimodal emotion recognition system for low-resource languages, resulting in an award-winning paper recognized at a major conference and substantial performance improvements.