Summary
Shahad Chowdhury is a Senior AI Engineer and team lead with 8 years of experience building scalable NLP and deep learning systems, particularly for Bangla language processing. She has led end-to-end production pipelines—from pre-training BERT/T5/GPT-2 variants to deploying services with FastAPI, gRPC, Docker, and vector stores like Qdrant—while improving data quality with a rule-based Bangla lemmatizer (96.36% accuracy) and normalization techniques that reduced ambiguity by ~32%. At Delineate she now drives agentic systems for faster QSP modeling and steers her AI team toward product impact, combining hands-on engineering with leadership. Her work spans research and industry, with publications at EMNLP 2023 and contributions to Hugging Face Transformers plus an open-source Unicode converter for Bangla Bijoy text. A practical problem-solver, she’s also tackled 225+ LeetCode and 170+ Codeforces challenges, reflecting strong algorithmic foundations behind her ML expertise. Based in Dhaka, she’s focused on applied NLP innovations that bridge research-grade models and production constraints.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, 3.08, Bachelor of Engineering - BE, Computer Science, 3.08 at Rajshahi University of Engineering & Technology
Higher Secondary, Science, 5.00, Higher Secondary, Science, 5.00 at Dinajpur Government College
Secondary School Certificate (S.S.C.), 5.00, Secondary School Certificate (S.S.C.), 5.00 at Dinajpur Zilla School
English, Bengali, Hindi