Jr. Software Engineer specializing in full-stack .NET development, REST APIs, SQL Server, authentication, RBAC, and enterprise LIMS applications, with additional experience in Java, Spring Boot, React, Node.js, and AI-enabled applications.
Cognizant Technology Solutions
Jul 2025 – Present · Chennai
Worked across 5+ enterprise-scale LIMS applications for a Germany-based agricultural client using ASP.NET MVC, .NET Core, SQL Server, and IIS, maintaining 99%+ application availability. Developed full-stack features, REST APIs, optimized SQL queries and stored procedures, and used AI-assisted development tools for debugging, code review, and production root cause analysis. Managed LDAP/Active Directory authentication and RBAC. Collaborated in Agile sprints using Azure DevOps and Git for code reviews, CI/CD pipelines, and cross-environment deployments. Completed a healthcare-domain full-stack .NET training capstone from Jul–Sep 2025, including 10+ RESTful CRUD APIs, layered architecture, Entity Framework Core, ASP.NET Identity, RBAC, and admin approval workflows.
DIAT (Ministry of Defense)
May 2024 – Jul 2024 · Pune
Applied machine learning, data science, unsupervised learning, and geospatial data analytics. Identified 47 high-potential solar expansion zones among 1,363 geospatial data points. Preprocessed and analyzed 35 years of rainfall data using Pandas and NumPy, and built a K-Means clustering model with silhouette-score-based hyperparameter tuning.
Coders Club
2024–25
Mentored 100+ students and grew club membership by 3x.
GDSC
2024–25
Led competitive programming activities and mentored 100+ students.
B.Tech, Computer Engineering
2021–2025
8.5/10
HSC - Intermediate
2019–2021
98%
Built a Java and Spring Boot note-management application with folder and tag organization, AJAX live search, seven AI features, RAG-lite question answering grounded in user notes, structured prompt engineering, JSON fallback handling, and a Web Speech API voice-to-AI pipeline.
Built a Java and Spring Boot finance tracker with JPA specification filtering, server-side pagination across 1,000+ records, CSV export, Chart.js dashboards, AI voice and natural-language expense entry, finance chat, anomaly detection, budget tracking, and AI-generated monthly insights.
Built a full-stack MERN book manager using React, Node.js, Express, MongoDB, and Material UI. Used compound MongoDB indexing and a denormalized schema to reduce query times by 35%, and implemented REST endpoints, validation middleware, centralized error handling, and responsive SPA navigation.