Abishek Anand

Graduate Teaching Assistant - 10403 10703 Deep Reinforcement Learning

Greater Houston United States
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Summary

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Senior
🎓
Top School
Abishek Anand is a software engineer and graduate teaching assistant at Carnegie Mellon University with 11 years of hands-on experience spanning backend, frontend, and ML research. He blends practical systems and product work—contributing to the Bahmni open-source EMR (backend SQL models and frontend Angular/React UI) while also building high-performance trading and cloud authorization tooling during internships at Optiver and NVIDIA. At CMU he teaches deep reinforcement learning and generative AI, mentors students on research projects, and researches efficient inference for large Mixture-of-Experts models. Comfortable across C++, ROS, MATLAB, and full-stack web tech, he has a knack for squeezing performance from algorithms and production systems alike. A detail that sets him apart: alongside UI tweaks and bug fixes for clinical workflows, he implemented SQL and data-model changes that improved patient search, lab coding, and auto-expiry logic in a widely used healthcare platform.
code11 years of coding experience
job1 year of employment as a software developer
bookKlein Cain High School
bookBachelor of Science in Engineering Computer Science and Electrical and Computer Engineering, Bachelor of Science in Engineering Computer Science and Electrical and Computer Engineering at Carnegie Mellon University
languagesSpanish, Tamil
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Github Skills (13)

html10
javas10
emr10
javascript10
frontend10
sql10
openmrs10
database-design10
angularjs10
java10
hospital-management-system9
css9
react8

Programming languages (8)

JavaDockerfileC++JavaScriptPerlGroovyRubyPython

Github contributions (5)

github-logo-circle
Bahmni EMR Frontend code for Clinicians and staff members, written in Angular.JS and React
Role in this project:
userFront-end Developer
Contributions:205 commits, 156 pushes, 19 branches in 1 year 3 months
Contributions summary:Abishek primarily contributed to the front-end development of the Bahmni EMR Frontend application. Their commits show a focus on enhancing the user interface, particularly in the clinical module. They made modifications to HTML templates, JavaScript files, and CSS styles to improve the display and functionality of clinical data, specifically for items like investigation results, discharge summaries, and visit summaries. Furthermore, the user worked on fixing minor bugs.
emrmhealthpatient-carehospital-management-systemangular-js
Bahmni/bahmni-core

May 2015 - May 2016

Core OpenMRS modules for Bahmni (including ERP & ELIS Atom Feed Clients)
Role in this project:
userBack-end Developer
Contributions:53 commits, 40 pushes, 5 branches in 1 year
Contributions summary:Abishek primarily contributed to back-end logic within the Bahmni core repository, focusing on modifying and enhancing SQL queries related to patient search and various patient-related functionalities, such as admissions, discharges, and pending orders. Their work involved the creation of new data models and the implementation of a mechanism to parse additional search parameters. Furthermore, the user modified existing SQL queries to accommodate coded concepts for lab results, and incorporated changes to auto-expire test orders.
tech4gooderpemrhospital-management-systemopenmrs
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Abishek Anand - Graduate Teaching Assistant - 10403 10703 Deep Reinforcement Learning