WORK EXPERIENCE

Infosys
Specialist Programmer
Aug 2022 – Present
Built backend Python APIs using SQLAlchemy, GraphQL, AWS to serve/model PostgreSQL fuel cost data to the frontend, achieving fast response times of under 2.1 seconds. Built an email mining application using AI, Azure, Python, SQLAlchemy to extract extract information from email data via an ETL pipeline for RAG. Awarded the Infosys Rising Star Award (March 2024) and Rise Insta Award (December 2024) due to team mentorship and project contributions.

Barclays
LifeSkills Youth Advisory Councillor
Jan 2020 – May 2023
Appointed to a national youth advisory board shaping Barclays’ LifeSkills strategy; advised and improved digital toolkits used by 1M+ young people annually. Featured as a panellist at Barclays LifeSkills Unpacked seminar, helping 300+ educators embed career readiness and soft skills into classroom teaching to better prepare students. Delivered workshops to students from underprivileged schools in Taunton Deane, Somerset and Bury, Greater Manchester to motivate and support their exam preparation.

University of Bath
Administrative Assistant
Nov 2021 – Jun 2022
Reviewed and verified course descriptions for over 50 university offerings to ensure accuracy. Identified and corrected errors prior to publication on the university website.

University of Bath
Computer Science Student Ambassador
Jan 2020 – Oct 2021
Led campus tours for prospective students and parents, providing insights into student life and campus facilities. Spoke in virtual and in-person Q&A sessions, answering questions for over 50 visitors.

Echobox
Operation Intern
Jul 2021 – Aug 2021
Analyzed 40% of Echobox's customer base in Q3, researched 200 – 360 customers weekly and added 2,000+ new company accounts into Salesforce, enhancing Echobox's customer insights. Built a Salesforce backend solution to reduce no-shows in BDR meetings using automated reminders in SalesForce Flow and Apex.

J.P. Morgan
Spring Into Technology Intern
Mar 2020 – Apr 2020
Successfully completed the J.P. Morgan Spring into Technology program, gaining foundational fintech knowledge and valuable insights into the industry. Took part in J.P. Morgan workshops on distributed databases, cybersecurity, and machine learning, gaining a deeper understanding of their applications in the industry.
PROJECTS





Template-Based Icon Matching Tool
Built a Python tool using OpenCV and SIFT to detect and localize specific icons in complex images with 98.5% accuracy and 10.29s runtime.
Image Reconstruction and Filtering with Gaussian Models
Used NumPy to reconstruct tilted 2D images with Gaussian blobs and apply image filters (blur, edge detection), with Matplotlib for visualization and Pandas for Gaussian parameters.