Experiences

Professional Experiences, Research Projects and Reviewerships

Academic Experiences

Graduate Research Assistant: Fintech & AI

September 2023 - Present

Employer: Dr. Priya Muthukannan

Research School of Management, ANU

Principal Investigator

  • Conducting qualitative analysis on open banking regimes using a dynamic capabilities lens.
  • Teaching Introduction to Data Analysis in Business Information Systems.
  • Developing novel frameworks to study the effects of AI and banking sector responses to technological shifts.

Casual Sessional Academic: Engineering

July 2022 - September 2023

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

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.

Internships

Head Automation Intern: Power Systems Automation

March - August 2021

Employer: Mr. Arindam Sanyal

Calcutta Electric Supply Corporation, India

Deputy Director (Automation)

  • 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.

ML Research Intern: Financial NLP

December 2021 - March 2022

Employer: Mr. Paresh Sharma

Decimal Point Analytics, India

Managing Director

  • 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.

Research Intern: Finance

December 2020- February 2021

Employer: Mr. Parthasarathi Mukherjee

Laxmi Vilas Bank, India

Ex- CEO, Laxmi Vilas Bank, India

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

Undergraduate Research Projects

Undergraduate Researcher: Foundational Deep Learning

March 2022 - June 2022

Supervisor: Dr. Richard Hartley, FAA

School of Computing, ANU

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.

Undergraduate Researcher: Control & Optimization

December 2021 - March 2022

Supervisor: Dr. Ian Petersen, FAA

School of Engineering, ANU

Professor

  • 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.

Summer Research Intern: Passive Radar Signal Processing

May-August 2020

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

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.

Undergraduate Researcher: Optical Excitation Study in Graphene Sheets

August-December 2019

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

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.

Reviewership

  • Wiley: Asian Journal of Control, 2023: Paper review on game-theoretic control.
  • Asian Control Conference, 2022: Paper review on feedback linearisation for UAV controllers.
  • IEEE Xplore ANZCC, 2021: Paper review on non-smooth feedback controllers.