• Tutored hands-on laboratory sessions for master's students.
• Developed student projects on microprocessors, robotics, and machine learning.
• Led programming for the NAO robot.

• Conducted qualitative analysis on open banking regimes to assess dynamic capabilities.
• Delivered data science bootcamps for beginners.
• Developed novel frameworks to study the effects of AI and banking sector responses to technological shifts.

• ENGN8824: Advanced Control Systems (Master's), ANU, 2023: Tutored a laboratory class of 12 students.
• ENGN4628: Network Optimization and Control, ANU, 2023: Tutored problem-solving sessions for a class of 34 students.
• ENGN4625: Power Systems and Electronics, ANU, 2022: Tutored problem-solving sessions for 16 students.

• Developed, implemented & back-tested a statistical arbitrage model on the Hong Kong exchange.
• Performed statistical analyses on large-scale financial data to uncover market patterns and operational inefficiencies in Korean markets.
• Collaborated with traders and developers to build a proprietary, real-time machine learning decision-making system.

• Built a metadata indexing pipeline for question answering over large financial document collections, improving retrieval and analysis scalability.

• Engineered and optimized a financial metadata database tailored for RoBERTa-based question-answering systems.
• Facilitated and chaired client meetings for product reassessment and quality assurance.
• Renegotiated contract durations during discussions with the banking tribunal, focusing on stock option roll-over mechanisms.

Developed a Markowitz-style portfolio optimisation method using a competitive neural network over multiple time-series datasets.

• Employed Neural Networks to assess the invertibility of differentiable functions in closed sample ranges for non-linear processes.
• Demonstrated that normalizing flow networks struggle with global invertibility.
• Formulated an FPGA TIMER algorithm to measure the total computational effort required for minimum convergence.

• Established a novel algorithm that is deterministic and exponentially faster than classical Nesterov-like methods for convex functions.
• Utilized control theory to formulate universal Lyapunov-based methods for predicting convergence rates in high-resolution ODE approaches.

• Formulated a Kalman filter-centric technique for swift selection of the best-matched filter for incoming passive radar signals.
• Implemented an FPGA-based multi-processor interface for the analysis of long-range, noise-affected radar signals.
• Part of the Multi-Layer Air defence system passive signal processing team for the Kavach system.

• Developed a model to estimate parametric states for the optical response of viscoelastic properties of the graphene sheets under stress.
• Verified the bifurcations and empirically validated the model for larger gains.