About
Highly motivated Software Engineer with a Bachelor of Technology from Delhi Technological University, specializing in scalable application development and data-driven solutions. Proficient in C++, Python, JavaScript, and the MERN stack, with a proven track record of optimizing performance, enhancing security, and delivering impactful technical solutions across diverse industries, including defense, finance, and gaming.
Work
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Summary
Applied Agile methodologies to develop and deploy a real-time supply chain prediction dashboard with integrated CI/CD pipelines.
Highlights
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.
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Summary
Contributed to game development, including feature proposals and critical bug fixes for enhanced game performance.
Highlights
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.
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Summary
Focused on cybersecurity, identifying vulnerabilities and recommending robust solutions to strengthen system defenses.
Highlights
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.
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Summary
Engaged in financial data analysis and real-time data pipeline development to enhance trading accuracy and efficiency.
Highlights
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%.
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Summary
Contributed to advanced research in infrared imaging, focusing on performance optimization and image quality enhancement for defense systems.
Highlights
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.
Languages
English
Fluent
Hindi
Native
Skills
Programming Languages
Python, JavaScript (ES6+), TypeScript, C++, Java, SQL, HTML, CSS, Bash.
Frameworks & Libraries
React.js, Next.js, Node.js, Express.js, Redux, Django, Flask, GraphQL, FastAPI, Spring Boot, NumPy, Pandas, scikit-learn.
Tools & Technologies
Git, Docker, Kubernetes, Jenkins, Webpack, NPM, Yarn, Postman, JIRA, MATLAB.
Platform & Cloud
AWS (EC2, S3), CI/CD Pipelines, GitHub Actions.
Soft Skills
Leadership, Technical Writing, Public Speaking, Time Management, Event Management.