I am a Final Year Computer Science Student studying in Nanyang Technological University. I am deeply interested in the world of computers and finance.
Below includes my work experiences and education background
May 2024 - Aug 2024
• Conducted a comprehensive review and testing of code received from AWS, focusing on the implementation of Retrieval-Augmented Generation (RAG) processes to ensure optimal functionality and integration.
• Enhanced regulatory content retrieval efficiency from the MAS website using a Claude-based RAG model.
• Improved financial analytics accessibility by developing intuitive front-end UIs using Dash, enhancing user interaction and analytical capabilities.
• Analysed solutions that utilized a two-step regression model to accurately estimate the fair value of the US 10-year Treasury bill, enabling traders to generate alpha by capitalizing on precise market valuations.
Jul 2023 - Dec 2023
• Leveraged advanced modelling techniques to quantify the financial implications of security vulnerabilities, contributing to more informed decision-making at the intersection of IT security and finance.
• Establish and lead collaboration with cross-functional teams to implement cybersecurity protocols and manage security breaches, including handling of response and resolution.
• Enhancing cyber defence by designing simulated cyber-incidents and undertake proactive measures for identification, analysis, and containment of threats.
• Demonstrated strong analytical skills by creating a comprehensive reporting mechanism on cyber threats which provides insights and decision useful information resulting in reducing the internal-activated breaches by over 47%.
May 2023 - Jul 2023
• Utilized quantitative skills to identify defects in video matting and implemented anomaly detection algorithms, resulting in a 25% reduction in defects.
• Leveraged expertise in deep learning and AI by implementing the PPNET model using PyTorch with features that infers alpha and foreground data of 14,000 entities simultaneously and significantly improving the video matting model by 82%.
• Designed and implemented innovative technique such as segmentation decoder, new loss algorithm, which enhanced the performance of model by 48% and provided higher reliability, seamless execution, and visually enriched output.
Aug 2022 - Present
• Parameterized simulation to explore diversified self-propelling molecules.
• Extensive use of OOP within the C++ environment to facili- tate intr-particular interactions aiming real-life solutions
Mar 2020 - Present
Outreach included to over 15,000 entities and influencers to create awareness and support for online learning. Raised over $10,000 in two days for Khan Academy.
Nov 2019 - Jan 2021
Built and Configured 4 Computer Systems and designed the website for live streaming of corporate event.
July 2021 - Present
Accelerated Bachelor's Programme
Chief Group Leader - School of Computer Science and Engineering
NTU Science and Engineering Merit Scholarship
Recipient of the NTU President Research Scholarship Awards
Nov 2023
CFA Level 1 Passed (>90th Percentile)
Apr 2012 - Jan 2021
A Levels: 4 A*
SAT Subject: 2380/2400
IGCSE: 4 A* & 5 A
38 Nanyang Crescent
Singapore
636866 Singapore
vardhanlohia03@gmail.com