Prasuk Jain
Data Scientist, ML & data engineering enthusiast
Summary
Practical ML & data-engineering practitioner who builds end-to-end models and tooling: active on GitHub with generative-model and diffusion-model implementations (ProGAN, DDPM-Unet) and speech-to-text demos, showing hands-on experience implementing research ideas into runnable projects. github+2
Industry experience delivering AI solutions at scale: worked at Infosys in AI solution roles where responsibilities included building recommendation models and data-sharing systems that integrate data science, data engineering, and data warehousing components. wayup
Graduate-level training in data science and analytics: enrolled in Arizona State University's Data Science, Analytics and Engineering MS program, combining academic coursework with graduate service work at ASU. asu
Active technical writer and educator: publishes detailed Medium articles on practical ML topics (entity resolution, optimization, biometric systems) and maintains a DataCamp portfolio showcasing completed courses and instructional content. medium+1
Work
Education
Projects
Writing
Cracking the Code: Building a Twin Identification System Using Face and Iris Biometrics
July 1, 2025A Medium article on a project combining face embeddings (ArcFace) and iris recognition (CNN on CASIA) with score/feature fusion to improve twin identification accuracy.
The Tech Stack Behind Scalable Entity Resolution
June 1, 2025A Medium article describing a practical, scalable tech stack for entity resolution pipelines, covering ingestion, cleaning, blocking, similarity calculation, classification, clustering, and monitoring.
Optimizing Smarter, Not Harder: My Journey into Making BFGS Faster and Lighter
June 1, 2025A Medium post detailing work on compact and limited-memory BFGS variants to reduce memory and computation for large-scale optimization tasks, with experiments and engineering considerations.