Prashidha Kharel
Lead AI & ML Engineer at Vision Group Retail
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolPrashidha Kharel is a Lead AI & ML Engineer with 12 years of experience building end-to-end data, optimisation and deep learning solutions for industry and research. With a PhD in engineering and a strong mathematical background, she has shipped large-scale recommender and optimisation systems in production—boosting placement precision from 73% to over 90% and reducing optimisation time 10x on problems with 100M+ variables. Her work spans numerical methods, causal inference, GIS and time-series modelling, and she’s applied these skills to urban planning cluster analysis and current flood-forecasting deep-learning efforts. Comfortable across MATLAB, Python, PySpark, Gurobi and cloud data stacks, she bridges algorithmic research and pragmatic product delivery for global clients like Coca‑Cola and Unilever. An unusual blend of academic rigor (Physical Review Letters publication) and practical impact, she often combines advanced decomposition methods with modern ML to turn complex spatial and supply-chain problems into scalable services.
12 years of coding experience
7 years of employment as a software developer
A-Level (University of Cambridge), Physics, Further Mathematics, A-Level (University of Cambridge), Physics, Further Mathematics at Budhanilkantha SchoolThe University of SydneyBachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Tribhuvan University, IOE, Pulchowk CampusAP Scholar's Award, Physics, 5/5, AP Scholar's Award, Physics, 5/5 at College Board, USA
Nepali, EnglishProgramming languages (1)
Github contributions (5)
cool8137/aem_linear_2d
Feb 2014 - Jan 2020
Contributions:8 commits, 1 push, 1 branch in 5 years 11 months
cool8137/cool8137.github.io
Aug 2017 - Feb 2020
Contributions:40 pushes, 1 branch in 2 years 6 months
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