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Eli Lilly and Company
Software Engineer
June 15, 2026 – Present
ML-Specialisation
August 23, 2025 – August 23, 2025
ML-Specialisation — GitHub repository
View ProjectNLP-Encoding-Techniques
May 1, 2025 – May 3, 2025
NLP-Encoding-Techniques — GitHub repository
View ProjectGenerative-AI-with-Large-Language-Models-Coursera
July 20, 2024 – July 20, 2024
Generative-AI-with-Large-Language-Models-Coursera — GitHub repository
View ProjectF1TelemetryInsights
June 23, 2024 – June 23, 2024
1TelemetryInsights is a comprehensive project dedicated to the analysis and visualization of Formula 1 telemetry data. The project aims to provide insights into various aspects of F1 racing, such as driver performance, car dynamics, and race strategy, by processing and interpreting telemetry data
View Projectgo-tutorials
March 12, 2024 – March 12, 2024
This repository serves as a personal learning space for me to explore and practice the Go programming language. It contains code examples, exercises, and potentially small projects undertaken during my learning journey.
View Project100-days-of-code-2024
January 5, 2024 – August 31, 2024
100-days-of-code-2024 — GitHub repository
View Project100-days-of-code
August 4, 2021 – September 8, 2023
The 100 Days of Code challenge is a self-directed commitment to build strong and consistent coding habits.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-improvement and learning new technologies, which can be a positive cultural fit for a growth-oriented environment. However, the projects are predominantly personal and lack team collaboration context. The target role is 'Software Engineer', and the candidate's projects align with general software development and data analysis interests. The listed professional experience is in the future, so there is no current professional cultural fit data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed professional experience has a future start date, providing no past performance or collaboration context.