I am passionate about leveraging machine learning to solve complex problems. With over four years of experience, I specialize in deep learning algorithms and scalable AI systems. I take pride in transitioning research prototypes into production-ready solutions and collaborating with industry leaders to drive innovation.

Jayant Biradar

I am passionate about leveraging machine learning to solve complex problems. With over four years of experience, I specialize in deep learning algorithms and scalable AI systems. I take pride in transitioning research prototypes into production-ready solutions and collaborating with industry leaders to drive innovation.

Available to hire

I am passionate about leveraging machine learning to solve complex problems. With over four years of experience, I specialize in deep learning algorithms and scalable AI systems. I take pride in transitioning research prototypes into production-ready solutions and collaborating with industry leaders to drive innovation.

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Experience Level

Expert
Expert

Work Experience

Machine Learning Researcher at NASA Frontier Development Lab (FDL)
June 1, 2025 - November 18, 2025
Architected the FOXES pipeline, a multimodal Vision Transformer framework for solar flare prediction, achieving a 92% AUC. Developed attention-based localization to improve real-time predictions. Optimized distributed training and deployed scalable inference pipelines.
Research Assistant – Computer Vision & Medical AI at University of Arizona
May 1, 2025 - May 1, 2025
Invented TA-ViT for retinal disease diagnosis, achieving 95% accuracy. Developed real-time surgical analysis models and engineered FastViT for environmental monitoring. Managed extensive medical imaging datasets and mentored undergraduate students.
Senior ML Engineer – CV/MLOps Lead at Azista Industries
June 1, 2024 - June 1, 2024
Built end-to-end ML infrastructure for analytics, optimizing deep learning models for deployment on edge devices. Led CI/CD pipelines and reduced model deployment time by 60%.
Lead Data Scientist at Vasundharaa Geo Technologies
December 1, 2021 - December 1, 2021
Developed a multimodal anomaly detection system and designed efficient data processing pipelines. Partnered with smart city initiatives for real-time monitoring solutions.

Education

M.S. in Information Science – Machine Learning Track at The University of Arizona
July 1, 2023 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Government, Healthcare, Software & Internet, Professional Services

Experience Level

Expert
Expert

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