Urav Maniar
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolUrav Maniar is a software engineer and data scientist with ~10 years’ experience building high-leverage backend systems and research-grade ML, most recently completing a Master of Data Science at Monash researching time series ensemble optimization under Angus Dempster. He has shipped production infrastructure and services at scale—OAuth integrations for multiple marketplace platforms, a Python email microservice serving 1M+ users, and an internal pip library and IaC platform that remain in active use. Equally comfortable in startup delivery and academic research, Urav is exploring intersections of software engineering, ML, and AI through projects like an AI debate simulator, a chess engine for game-AI experiments, and ensemble optimization work that uncovered a large optimization gap in algorithm combination. He prefers high-autonomy roles where experimentation and “figure it out and ship it” are rewarded, and brings a track record of turning curiosity-driven prototypes into durable internal products.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at Monash University MalaysiaMaster of Data Science, Master of Data Science at Monash University
English, Hindi, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
text-to-image10
inpainting9
diffusion-models8
locale8
xml2js8
callback7
deep-learning7
xml7
parser7
validate6
rapid6
chess6
parse6
json2xml6
cli5
Programming languages (4)
Github contributions (5)
urav06/chess
Jan 2023 - Nov 2024
şahmat
Contributions:18 PRs, 203 pushes, 28 branches in 1 year 10 months
minmax-algorithmneural-network
WildWombats/Variables-Project
Nov 2018 - Jan 2019
Contributions:8 pushes, 1 branch in 1 month
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