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Master of Computing (AI Specialization)

• GPA - 4.4/5. Honours (Distinction).
• Key courses.
  • Trustworthy ML.
  • Natural Language Processing.
  • AI Planning and Decision Making.
  • Uncertainty Modelling in AI.
  • Neural Networks and Deep Learning.
  • Knowledge Discovery and Data Mining.
• Teaching Assistant.
  • Software Engineering (CS3203).
  • Foundations of AI (CS3263).
  • Big Data Systems for Data Science (CS4225).

Bachelor of Technology in Information Technology

• GPA - 9.23/10. First Class Honours.
• Recipient of the Prof. Dr.-Ing. Matthias Kleiner University Gold Medal for academic and innovative excellence.
• Thesis - “Congestion-Aware Routing for Multi-class Mobility-on-Demand Vehicles”.

Data Scientist

• Spearhead short-term labour demand forecasting for hospitals' large and complex workforce.

Graduate Research Assistant

• Explored multi-modal LLMs with MIDI data to extract hierarchical musical structures in pop songs.

Data Science Intern

• Modelled a framework with large language models (LLMs) for generating synthetic clinical reports.
• Evaluated zero-shot, few-shot, and chaining prompt techniques using LangChain to generate medical reports for 5 major domains given a public dataset (MIMIC-III).
• Performed fine-tuning of WizardVicuna 13B using QLoRA and increased semantic utility by 7%.

Software Engineer II, Software Engineer I

• Maintained the Order Management System and related micro-services of GoFood mobile app to ensure reliable ordering at a scale of 1M+ orders/day.
• Built high-throughput systems and enhanced system reliability by adopting high-availability solutions such as Patroni PostgreSQL to remove single-point failures.
• Led the architectural and design decisions for 3+ key customer-facing issues for the GoFood app.

Undergraduate Research Assistant

• Developed a socio-optimal vehicle path-planning framework leveraging Constraint Satisfaction Problems to provide congestion-free routes in a city; with an 84% increase in network utilization.
• Proposed a novel algorithm for optimal path selection in a multi-class set-up (combination of cars, public transport, walking) to dissipate traffic in a capacity-bound transportation network; 64% decreased travel time.

Software Research Intern

• Best Paper Award, Advanced Reinforcement Learning (CS6284)

• University of British Columbia Master of Data Science International Scholarship

• Runner-Up, Red Hat Women in Open Source Academic Award
• Best Undergraduate Thesis Award
• Dean's Merit List

• Winner, Smart India Hackathon
• The Linux Foundation Diversity Scholarship

• Mozilla Open Source Recognition

• Dean's Merit List