Summary
Ramya Tekumalla is an Assistant Professor and PhD-trained machine learning researcher with seven years of experience building large-scale information retrieval and weakly supervised analytics pipelines. She has curated and maintained massive social media corpora—most notably a 14 billion tweet collection and a COVID-19 Twitter dataset that gained media attention—and applies classical and deep NLP models to clinical and public-health problems. Prior to academia she shipped production-grade software and data solutions across healthcare and enterprise settings, including roles as Senior Data Scientist at Atropos Health and engineering work at Cerner and Micron. Ramya combines hands-on expertise in Python, PyTorch/TensorFlow, word embeddings and topic modeling with practical engineering skills in Java, web stacks, databases and Linux-based tooling. An engaging instructor and mentor, she has taught web programming and led workshops that introduced students to Git and Linux servers, helping bridge research and industry readiness. Outside work she channels analytical thinking through board games and maintains resilience with strength training and dance.
7 years of coding experience
7 years of employment as a software developer
elementary and middle school, elementary and middle school at Delhi Public School, Ukkunagaram, Visakhapatnam
High School, High School at Little Angels, Ukkunagaram, Visakhapatnam
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at GITAM Deemed University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia State University
English, Telugu, Hindi