Summary
Shadab Choudhury is a Senior Software Engineer with eight years of experience building production AI systems, from RAG pipelines and chatbots to multimodal deep-learning models and microservices. He blends industrial ML engineering at Nymph Solutions and Neovotech with academic research in accessibility and environmental nanotechnology—publishing Q1 papers and improving water-quality forecasts by 38%. Comfortable across the stack, he has deployed FastAPI and Flask model endpoints, engineered FAISS retrieval and StyleGAN pipelines, and shipped LLM-powered NLP products that achieved high accuracy in real-world settings. At UMBC he researched emotion classification and LLM-based data augmentation, running user studies and statistical analyses to align model behavior with human expectations. Pragmatic and curious, he pairs a CS MS with hands-on product experience and a background in content and teaching, which helps him translate complex research into usable tools.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at North South University
High School Diploma CIE Int'l AS- and A-Levels, High School Diploma CIE Int'l AS- and A-Levels at DPS STS School Dhaka
Certificate Quantum Computing, Certificate Quantum Computing at The Coding School
UMBC