Keerthi Gullapalli
Neurotech Lead at biotechUTD
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKeerthi Gullapalli is a neurotech lead and dual-major student in Computer Science and Cognitive Science at UT Dallas, combining AI and neuroscience to build practical, human-centered solutions. With 11 years of experience across research labs and industry internships, Keerthi has shipped projects from virtual patient simulations to deep learning models for melanoma detection and held leadership roles such as Lead Instructor and Neurotech Lead at biotechUTD. Proficient in Python, Java, C++, TensorFlow, and Flask, they bridge full-stack engineering with computational neuroscience research methods. Their background includes hands-on lab work at COINS and CoCo-Neuro labs and applied ML experience during a summer internship at Mr. Cooper, reflecting a balance of academic rigor and product-oriented development. Based in Austin and soon associated with Cornell for graduate studies, Keerthi is notable for translating cognitive science insights into deployable ML systems that address clinical and educational challenges. Always eager to learn, they favor projects that make measurable impact rather than theoretical novelty alone.
11 years of coding experience
Bachelor of Science - BS Computer Science and Cognitive Science (AI + Neuroscience concentrations), Bachelor of Science - BS Computer Science and Cognitive Science (AI + Neuroscience concentrations) at The University of Texas at DallasIBDP, IBDP at CHIREC International School
English, French, Hindi, Telugu, Spanish
Github Skills (15)
opencensus9
jaegertracing9
jaeger9
observability9
opentracing9
distributed-tracing9
opentelemetry9
kapacitor8
monitoring6
api5
time-series5
java4
django4
specification4
collaboration2
Programming languages (3)
Github contributions (5)
gvkarthik93/Data-Structures-and-Algorithms
Apr 2017 - May 2022
Contributions:51 pushes, 1 branch in 5 years 1 month
gvkarthik93/Heroku-Tornado
Jun 2017 - Sep 2017
Contributions:24 pushes, 1 branch in 2 months
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