Harsh Mishra
@harshmishra13
Software developer and ML researcher at the University of Sydney, building distributed search systems and agent orchestration tools.
AustraliaWhat I'm looking for
At Performance Boxing Studio, I built a cross-platform gym management app with Flutter and Firebase. It supported more than 25 active users, processed over 300 bookings in its first three months, and included a performance analytics dashboard.
At the University of Pennsylvania, I built a distributed Java search engine with a multi-node crawler, indexer, and PageRank ranker, then extended it with a Claude-powered query summarizer. In a separate project, I reproduced a grokking experiment in JAX/Flax and studied how transformer attention heads implement a modular arithmetic algorithm.
I also built a LangGraph and AWS Bedrock multi-agent orchestration system with checkpointed memory, human-in-the-loop governance, and evaluation tooling. My work includes a rare-disease reanalysis tool recognized with HackRare’s Impact Award and an ensemble fraud-detection pipeline that placed second in the Citadel Securities × H2O.ai National Data Open.
Experience
Work history, roles, and key accomplishments
Software Developer
Performance Boxing Studio
Jan 2025 - May 2025 (4 months)
Built a cross-platform gym management application in Flutter/Dart with Firebase backend, serving 25+ active users. Processed 300+ bookings in first 3 months and implemented real-time sync, authentication, and push notifications.
Operations Assistant
Sydney University Lawn Tennis Club
Organized social events and club tournaments, managing rosters, registrations, and communications. Supported operations with website maintenance, promotional materials, and email announcements.
Education
Degrees, certifications, and relevant coursework
University of Sydney
Bachelor of Engineering (Software Engineering), Software Engineering
Grade: 3.6/4.0
Third-year software engineering student with a cumulative GPA of 3.6/4.0, expected to graduate in June 2028.
University of Pennsylvania
Exchange Semester, Engineering and Applied Science
2026 - 2026
Exchange semester at the School of Engineering and Applied Science, taking courses in web systems, AI for science, and machine learning foundations.
Availability
Location
AustraliaAuthorized to work in
Salary expectations
Social media
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