Dynamic software developer with experience at PwC India, specialising in real-time systems and API design. Achieved a 25% reduction in order processing time through innovative solutions. Proficient in Java and Agile methodologies, with a strong focus on collaboration and delivering impactful results in high-pressure environments.
1. Food delivery app (Airtribe Capstone Project): Tech stack: Java, Spring Boot, Microservices, Spring Security, Docker, MySQL
Engineered a scalable application based on a microservices architecture for restaurant management and real-time order tracking, implemented JWT-based authentication, and role-based access control using Spring Security to secure all REST API endpoints
2. Depression detection on social media: tech stack: Python, LLMs, Hugging Face, explainable AI
Developed a deep learning model for natural language processing (NLP) to identify patterns of depression from text, leveraging Hugging Face transformers, and applied explainable AI (XAI) techniques using LIME and BertViz to provide model explainability and interpret predictions through visualizations
Backend Engineering Launchpad (Java Track), 2024, Airtribe, Bengaluru, Karnataka, Remote, Completed an intensive, 24-week program on building production-ready backend systems using Java and Spring Boot.