Tarun Lakra

Applied Agile methodologies to structure development tasks, including user story creation and sprint planning, for a real-time supply chain prediction system.

Designed and developed a responsive dashboard utilizing React.js, Tailwind CSS, and Axios to visualize real-time supply chain predictions.

Implemented robust CI/CD pipelines using GitHub Actions for automated testing and deployment, streamlining the development workflow.

Authored and presented a detailed feature proposal for EA Sports College Football, outlining new functionalities for stakeholder review.

Resolved a critical bug in the EA Sports College Football codebase, significantly enhancing overall game performance; the implemented fix is actively utilized by over 50 developers for ongoing development.

Conducted comprehensive security assessments using advanced penetration testing tools (CrackStation.net, HASHCAT, John the Ripper) to identify and mitigate critical vulnerabilities, significantly strengthening system defenses.

Formulated and presented robust security improvement recommendations to senior management, leading to a 25% reduction in potential exploit risks based on thorough vulnerability assessments.

Leveraged Python, Pandas, and NumPy to perform in-depth financial analysis on stock market mock data, increasing trading accuracy by 20%.

Developed and deployed an API-driven real-time data pipeline for live stock market feeds, which improved trading efficiency by 15%.

Optimized Non-Uniformity Correction (NUC) algorithms in MATLAB, enhancing temperature precision in infrared imaging applications by 30%.

Improved image quality and accuracy by 25% through advanced NUC techniques, reducing pixel response non-linearities by 20% and decreasing noise, resulting in 40% clearer military infrared images.

Conducted detailed analyses of pixel response characteristics, reducing visible artifacts by 35% and directly supporting defense system imagery reliability initiatives.