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
Interests
Artificial Intelligence
Deep Learning
Game Development
Genetic Algorithms
Behaviour Trees AI
Big Data Analytics
Data Visualization
VAPT
Skills
Resume
Sumary
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
Education
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
SCYTALE - AN EVOLUTIONARY CRYPTOSYSTEM
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.
DESIGN AND EVALUATION OF ELECTRIC BUS SYSTEMS FOR METROPOLITAN CITIES
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.
Testimonials
Contact
King's College London
Strand,
London WC2R 2LS,
United Kingdom
Email:
divyani.panda@gmail.com
Call:
(+44) 7771093594