Sumera Anjum is a research-focused software engineer with eight years of experience bridging enterprise systems and cutting-edge NLP research, currently advancing safe LLM use in healthcare as a Graduate Research Assistant at the University of North Texas. She developed the HALO framework to reduce hallucinations in medical QA by combining RAG, MMR, and prompt engineering techniques, boosting performance on the large MedMCQA benchmark and demonstrating scalability across commercial and open-source models. Prior to research, she built production tooling at Amazon’s Kindle team—automating diagnostics and ticketing with AWS services—and has deep experience implementing enterprise HR systems and data migrations in Oracle Fusion HCM. Sumera is also an experienced educator who has supported over 300 students in NLP, ML, and big data courses, and she pairs hands-on model engineering (LangChain, Instructor-XL embeddings) with a practical knack for operationalizing solutions.
8 years of coding experience
Bachelor of Technology - BTech, Computer Science, 8.91/10, Bachelor of Technology - BTech, Computer Science, 8.91/10 at Sreenidhi Institute of Science and Technology
Master's degree, Computer Science, 4/4, Master's degree, Computer Science, 4/4 at University of North Texas
eBPF based always-on profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Contributions:32 pushes, 20 branches in 2 years 3 months
bpfzerodiscoveringebpflinux
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