Experiences

Duration: September 2023 - September 2024

Employer: Dr. Priya Muthukannan

Affiliation: Research School of Management, ANU

Role: Principal Investigator

• Conducting qualitative analysis on open banking regimes to assess the dynamic capabilities.
• Data Science Bootcamps for Beginners
• Developing novel frameworks to study the effects of AI and banking sector responses to technological shifts.

Duration: July 2022 - September 2023

Employers: Prof. Ian Petersen, FAA & Prof. Iman Shames

Affiliation: School of Engineering, ANU

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

Duration: Nov 2024 - Feb 2025

Affiliation: Optiver, Asia Pacific, Sydney, Australia

Duration: March - August 2021

Affiliation: Calcutta Electric Supply Corporation, India

• Orchestrated a 17-member team to engineer and implement a self-healing mechanism in the Ring Main Unit-based Power System at Chitpur hospital substation during India's second COVID-19 wave.
• Managed real-time installation of high-voltage DC circuit breakers, linking the substation to multiple power grids.

Duration: December 2021 - March 2022

Employer: Mr. Paresh Sharma

Affiliation: Decimal Point Analytics, India

• 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.

Duration: December 2020 - February 2021

Employer: Mr. Parthasarathi Mukherjee

Affiliation: Laxmi Vilas Bank, India

Role: Ex-CEO, Laxmi Vilas Bank, India

Developed a Markonikov portfolio optimization method using a Competitive Neural Network from multiple time series data.

Duration: March 2022 - June 2022

Supervisor: Prof. Richard Hartley, FAA

Affiliation: School of Computing, ANU

Role: Distinguished Professor Emeritus

• 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.

Duration: December 2021 - March 2022

Supervisor: Prof. Ian Petersen, FAA

Affiliation: School of Engineering, ANU

• 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.

Duration: May - August 2020

Supervised by: V. Venkateshwara Rao, Ex-Director, ARDE

Affiliation: DRDO, India

• Formulated a Kalman filter-centric technique for swift selection of the best-matched filter for incoming radar signals.
• Implemented an FPGA-based multi-processor interface for the analysis of long-range, noise-affected radar signals.

Duration: August - December 2019

Supervisors: Prof. Gargi Chakraborty, Dr. Sumathi S, Prof. Shweta B. Thomas

Affiliation: VIT, Vellore

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