Divyani Panda - Portfolio

Hi there! 👋

I'm a postgrad student at King's College London, pursuing an MSc in Advanced Computing, with a passion for AI, Deep Learning and Game Development.

My journey into the world of game development during college laid the foundation for a broader exploration into the realms of Artificial Intelligence (AI) and Machine Learning (ML). My research now delves into AI, deep learning and automata learning applied to game mechanics. I'm also currently exploring the areas of cloud computing and big data analytics.

Chevening Scholar & Game Developer

An avid learner, seeking opportunities that would assist me in augmenting my knowledge in the fields of Deep Learning, Data Analytics, Cloud Computing and Game Development.

  • MSc Advanced Computing, King's College London, UK
  • Bengaluru, India
  • divyani.panda@gmail.com


Artificial Intelligence

Deep Learning

Game Development

Genetic Algorithms

Behaviour Trees AI

Big Data Analytics

Data Visualization



Python 95%
JavaScript 85%
HTML & CSS 85%
Tableau, D3.js 80%
AI/ ML Libraries (TensorFlow, Keras, scikit-learn) 80%
C/C++ 85%
Unity3D & C# 85%
Burp Suite 80%



Divyani Panda

Innovative and deadline-driven engineer & AI enthusiast with experience in big data analytics, deep learning, game development and vulnerability assessment & penetration testing.

  • Bengaluru, Karnataka, India
  • divyani.panda@gmail.com


MSc. Advanced Computing

2023 - 2024

King's College London, UK

  • Pattern Recognition, Neural Networks and Deep Learning
  • Data Mining
  • Big Data Analytics
  • Data Visualization
  • Agents and Multi-agent Systems
  • Artificial Intelligence Planning

Bachelor of Technology

Electrical and Electronics Engineering

2017 - 2021

Vellore Institute of Technology, Vellore, India

CGPA: 9.39

  • Microprocessor and Microcontroller
  • Advanced Control Theory
  • Applied Numerical Methods
  • Digital Signal Processing
  • Engineering Optimization
  • Rapid Prototyping with FPGAs
  • Statistics for Engineer

Internship Experience

Software Development Intern

May 2019 - June 2019

ALUK Building Systems Pvt. Ltd.

  • Worked on the upgradation and development of ALUK in-house Software for Structural Analysis and Design of Aluminium windows and curtain walls under static loading, such as incorporating new user-friendly features along with visualizations of the bending behavior of beams.

Technology Intern

Jan 2021 - April 2021

Deloitte USI Risk and Financial Advisory

  • Worked on SAP Commerce Cloud, one of the technology stacks used in the client project. Performed research on the architectures and implementation of SAP CC as a backend for the e-commerce website. Acquired knowledge about the various services offered by SAP CC during deployment of a commerce application, such as storefront, backoffice applications, searching and indexing, logging, and monitoring.
  • Performed client user story reviews and provided necessary security comments.

Professional Experience

Advisory Associate Solution Advisor

June 2022 - Present

Deloitte USI Risk and Financial Advisory

  • US-Based State Government Client
    • Spearheaded and performed Dynamic Application testing and Manual Penetration testing activities for web applications and APIs, newly uncovering 8 Critical and High vulnerabilities, and assisted in implementing a complete DevSecOps solution through integration of security testing tools like Burp Suite Professional into the CI/CD process.
    • Developed accelerators with Python to automate in-house security workflows and processes which allowed for 80% time-reduction in producing quality deliverables.

Advisory Analyst

July 2021 - June 2022

Deloitte USI Risk and Financial Advisory

  • US-Based State Government Client
    • Ideated, scoped and launched the application security testing program to drive the integration of Secure SDLC (Software Development Life-cycle) to provide the client with a streamlined development process.
    • Performed automated application security testing and manual penetration testing for client's internal and customer-facing web applications utilizing industry leading tools such Burp Suite Professional.
    • Worked and collaborated with members of the Security Operations Services focused on different aspects of Cyber delivery such as Application Testing, Identity and Access Management, Threat Detection and Response.

Personal Projects - Highlights

To view all my projects, please visit my GitHub: 7divs7

  • All
  • Unity
  • JavaScript
  • Python
  • Genetic Algorithms
  • Neural Networks
  • Electronics

Research Publications


Published: 7 August, 2020

Journal: International Journal of Computer Science and Network, Volume 9, Issue 4

Authors: Unnikrishnan Menon, Atharva Hudlikar and Divyani Panda

With the advent of quantum computing, and other advancements in computation and processing capabilities of modern systems, there arises a need to develop new trapdoor functions that will serve as the foundation for a new generation of encryption schemes. This paper explores the possibility of one such potential trapdoor function using concepts stemming from Reversible Cellular Automata (RCA) -- specifically, the Critter's Rule set up in a Margolus Neighborhood. The proposed block encryption algorithm discusses how sensitive data can be manipulated and converted efficiently into a two dimensional sequence of bits, that can be iteratively evolved using the rules of the RCA and a private key to achieve a desirable level of encryption within a reasonable runtime. The performance benchmark and analysis results exemplify how well the proposed encryption algorithm stands against different forms of attacks.


Published: 26 October, 2020

Journal: SSRG International Journal of Mechanical Engineering 7(10), 16-23

Authors: Unnikrishnan Menon and Divyani Panda

Over the past decade, most of the metropolitan cities across the world have been witnessing a degrading trend in air quality index. Exhaust emission data observations show that promotion of public transport could be a potential way out of this gridlock. Due to environmental concerns, numerous public transport authorities harbor a great interest in introducing zeroemission electric buses. A shift from conventional diesel buses to electric buses comes with several benefits in terms of reduction in local pollution, noise, and fuel consumption. This paper proposes the relevant vehicle technologies, powertrain, and charging systems, which, in combination, provides a comprehensive methodology to design an Electric Bus that can be deployed in metropolitan cities to mitigate emission concerns.



Divyani is a great security analyst and penetration tester to work with. I recently collaborated with her on a long-term project, and she very quickly learned to use the tools in our pentesting toolkit. She was thrown into our project and almost immediately began discovering critical vulnerabilities in our client's environment and creative ways to bypass existing security mechanisms. She is great at working with developers and security personnel alike to understand what is happening under the hood of an application, and I would gladly recommend her to any team looking for a smart security analyst that is able to quickly get up to speed and adapt as circumstances and environments change.

Bryan Curl

Cybersecurity Consultant, Penetration Tester at Coalfire


King's College London

London WC2R 2LS,
United Kingdom


(+44) 7771093594

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