Welcome to the space of
Pranav Lokhande
Software Engineering & Data Science Student at University of Sydney
Pranav Lokhande
Software Engineering Student @ University of Sydney
About Me
I'm a Software Engineering student at the University of Sydney, passionate about crafting accessible, performant web applications and creating thoughtful developer experiences.
I'm proficient in both frontend and backend development, from building clean, type-safe frontends in React and Next.js to designing robust APIs and data pipelines. Recently, I've been diving deep into LLM tooling and exploring pragmatic AI features that genuinely enhance user experience.
I'm currently contributing to automations in research projects and constantly explore systems design, product thinking, and visual polish.
I spend free time reading about design systems, experimenting with datasets, and refining workflows to ship faster with fewer regressions. When I'm not coding, you'll find me at the beach or playing cricket with friends.
University of Sydney
Bachelor of Engineering (Honours) - Software, Data Science Specialisation
Ambassador
Mentor
Representative
Assistant
Nanyang Technological University
Singapore
Introduction to Data Science, AI & Cybersecurity
Singapore Management University
Singapore
Quantum Computing in Finance Services
Impact that spans research and product.
Research Assistant
View projectUniversity of Sydney
Developed LLM-powered educational tools leveraging OpenAI to automate course-related queries, providing intelligent responses to student questions and streamlining administrative workflows for teaching staff
Engineered data pipelines for preprocessing, orchestration, and real-time monitoring
Developed Streamlit web application automating LCMS Instruments data generation with Python
Summer Researcher
Charles Perkins Centre
Optimized Python-based data processing pipelines for large-scale analysis
Built Python visualization libraries and automation scripts
Integrated Python tooling into research workflows for efficiency
Projects with narrative and scale.
Predicting Building Energy Consumption
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Predicting Building Energy Consumption
Hybrid CNN/Bi-LSTM/Transformer ensembles with denoising, feature attribution, and evaluation dashboards that surpassed baseline forecasts.
MediaTracker (Medley)
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MediaTracker (Medley)
A comprehensive full-stack media tracking application for discovering, organizing, and tracking books, movies, TV shows, anime, and manga with advanced search, custom lists, and social features.
Group Allocation Management System
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Group Allocation Management System
A full-stack web application for managing student project groups, task allocation, and collaboration in university environments with role-based access, real-time progress tracking, and workload balancing.
Trains, Trends & Turbulence
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Trains, Trends & Turbulence
Analyzed Sydney ridership vs. disruptions with geospatial storytelling, statistical overlays, and decision-ready dashboards.
Supply Chain Intelligence
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Supply Chain Intelligence
A comprehensive data science project analyzing supply chain logistics data to infer transport modes and understand their relationship with risk metrics using unsupervised learning and predictive modeling.
Signals from mentors and juries.
Charles Perkins Centre Summer Research Scholarship
University of Sydney
Selected among 19 students to drive metabolomics research with automation-first data tooling and rapid iteration.
Winter Data Analysis Challenge · Honorary Mention
Sydney Precision Data Science Centre × Westpac
Delivered disruption analyses on OPAL ride data—cleaning, modeling, and packaging insights for exec-ready storytelling.
Let’s build the next niche system.
Drop me a pulse for collaborations, residencies, or research pairings. Dark mode comes first, but I obsess equally about how the light version behaves.
Availability
• Accepting freelance and part-time systems collabs.
• Happy to jam on AI strategy or lightning-fast prototypes.
• Based in Sydney, working async across timezones.