Software Engineer | Full-Stack Development | Building Reliable & Scalable Systems

Chennai

Remote

Jamshedpur

Kotdwara







B.tech. in Computer Science Engineering, Bioinformatics
Vellore Institute of Technology
Intermediate (12th)
St. Joseph's Convent School - Kotdwara
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I’m a Full Stack Developer who enjoys turning ideas into things people can actually use. I like understanding how things work, breaking down complex problems, and building solutions that are simple, reliable, and useful. My experience spans Java, Spring Boot, Quarkus, React, Python, Django, SQL, and Azure, with hands-on work in backend development, REST APIs, databases, cloud technologies, CI/CD, and production systems. I enjoy working across the stack because I believe good software is not just about writing code — it’s about understanding the problem and building the right solution. I’m also deeply interested in AI/ML and data. I’ve worked on projects involving fraud detection, network intrusion detection, data science, and RAG-based legal AI, and have published research in the area. I’m particularly interested in how AI can move beyond demos and become something genuinely useful in real-world applications. I’m a big believer in learning by building. New technology doesn’t intimidate me; if I don’t know something, I’d rather learn it, experiment with it, and build something with it than simply add it to a list of skills. 😄 Outside of technology, I like staying curious and keeping life interesting — going out, randomly signing up for workshops and events, trying new things, playing sports, and occasionally wondering why I signed up for that workshop in the first place. Still learning. Still building. Still curious. And always looking for the next problem worth solving.
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Analyst (Development) at Standard Chartered, Jul 2025 - Present · 1 yr 3 mos, Chennai, - Developed and enhanced 10+ backend REST APIs using Java, Quarkus, and Oracle SQL for a large-scale enterprise application. - Improved application performance by 30% through Apache Spark-based caching, optimizing data retrieval across 10,000+ records. - Reduced document storage requirements by 25% by building an automated file-compression solution supporting 6+ file formats. - Supported 15+ software releases across testing and production environments using Azure DevOps CI/CD, while achieving 90%+ test coverage with JUnit. - Delivered 20+ production enhancements and bug fixes, contributing across backend development, database scripting, testing, and system optimisation. - Led a 7-member development team building a full-stack internal application with Spring Boot, React, and PostgreSQL, automating workflows and improving efficiency by 33%.
Data Science with Python at Finlatics, Nov 2024 - Jan 2025 · 3 mos, Remote, - Applied Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for data analysis, visualization, and machine learning. - Built Sales Analysis & Prediction and Bank Term Deposit Subscription projects using real-world datasets and data-driven approaches. - Applied statistical analysis, regression, and data visualization using Python and Excel to identify trends and generate actionable insights.
SDE Intern at Special Software (India) Pvt. Ltd., Jun 2024 - Nov 2024 · 6 mos, Jamshedpur, - Developed and deployed a full-stack web application for a client using HTML, CSS, JavaScript, Python Django, and MySQL. - Redesigned the database structure and application architecture to improve maintainability and overall functionality. - Implemented validation, unit testing, and integration testing across key modules to improve application reliability and user experience. - Worked across frontend, backend, database, and deployment, gaining hands-on experience in end-to-end web development.
Graduate Engineering Trainee at Bharat Electronics Limited, Nov 2023 - Dec 2023 · 2 mos, Kotdwara, - Developed a Machine Learning-based network intrusion detection model using TCP/IP traffic data to identify anomalous and potentially malicious network activity. - Performed data preprocessing, feature analysis, and classification to distinguish between normal and suspicious network traffic. - Used Wireshark for packet analysis and network monitoring to investigate potential vulnerabilities and unauthorised access attempts.
B.tech. in Computer Science Engineering, Bioinformatics, Vellore Institute of Technology
Intermediate (12th), St. Joseph's Convent School - Kotdwara
github: https://github.com/Yash-Negi-2209
leetcode: https://leetcode.com/Yash_Negi