Vishal Shinde is an AI-focused full-stack engineer and first-generation graduate student in Computer Science at Cal State Fullerton, currently building observability AI agents that accelerate root-cause analysis using telemetry, logs, and distributed tracing. He has shipped AI products leveraging fine-tuned LLMs and retrieval-augmented generation, backed by solid backend experience from internships where he built scalable APIs, optimized models, and implemented CI/CD pipelines. His research work applied Neural Style Transfer and Grad-CAM to improve retinal image classification and interpretability, showing a blend of practical engineering and ML research. Comfortable across Python, JavaScript, Flask, Spring Boot, and PostgreSQL, he has a track record of improving model accuracy and system performance in production settings. Outside of code, he skates, hikes, and pursues photography—often bringing a designer’s eye to data and user-facing features.
10 years of coding experience
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Terna Engineering College
Master of Science - MS Computer Science, Master of Science - MS Computer Science at California State University, Fullerton
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