Elita Lobo
Doctoral Student at University of Massachusetts Amherst
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolElita Lobo is an applied scientist and PhD candidate at UMass Amherst with 12 years of software and research experience spanning industry and academia. She has blended production engineering and ML research—shipping backend systems at Flipkart and Endurance, while contributing to reinforcement learning, robustness, and Auto-RL research through internships at IBM, Microsoft, and Amazon. Her recent projects include hierarchical and risk-aware RL, peak-load forecasting for smart grids, and work on privacy risks of large language models, reflecting a rare mix of deep RL theory and applied systems engineering. Now at AWS following an applied scientist internship at Amazon, she is actively seeking research collaborations and ML/RL internships for Summer 2025. Notably, her background includes building practical ML-driven services (fraud/payout anomaly detection, caching predictors) alongside reproducible research implementations in PyTorch and MuJoCo.
12 years of coding experience
3 years of employment as a software developer
Dhempe College Of Arts and ScienceEngineer's degree Electronics and Communications Engineering, Engineer's degree Electronics and Communications Engineering at National Institute of Technology DurgapurDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Massachusetts Amherst
English
Github Skills (99)
queue10
filter10
micronaut9
redis-client9
api9
tomcat9
nlp9
redis-streams9
haiku9
python9
publish9
ack9
redis9
pytorch9
spring9
Programming languages (6)
Github contributions (5)
elitalobo/Hierarchical-RL-Algorithms
Nov 2019 - Dec 2020
Contributions:54 commits, 52 pushes, 1 branch in 1 year 1 month
elitalobo/FloorPlanningArea_Minimization_Algorithm
Apr 2016 - Feb 2019
Contributions:5 pushes, 1 branch in 2 years 11 months
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