Shubham Shinde is an Associate AI/ML Engineer based in Bengaluru with eight years of experience building and deploying production-grade ML systems across NLP, computer vision, and analytics. He has shipped large-scale features at BYJU'S—ranging from a BERT-based universal search and contrastive-finetuned QA models to YOLOv8 and CLIP ensembles for classroom and sales-call monitoring—demonstrating end-to-end ownership from data annotation to Flask APIs. Comfortable across Python, JavaScript, PyTorch and cloud/DevOps patterns, he blends full-stack experience with ML engineering, having implemented realtime dashboards, indexing pipelines (Elasticsearch/Annoy), and daily cron automation. Prior roles show strong product impact and performance optimization skills, from cutting web app load times by 90% to reducing RFQ upload latency dramatically. He’s pragmatic about data and systems—echoing his GitHub moto that good engineers focus on data structures and relationships—and pursues continual learning (currently a master’s in AI/ML) to turn research advances into practical applications. Beyond models, he’s proven at mentoring and cross-functional collaboration, running tech sessions and integrating ML with mobile and backend teams.
8 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Galgotias College of Engineering and Technology
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