Jersey City, New Jersey, United States
I’m a Software Engineer and M.S. Computer Science student at Stevens Institute of Technology, with experience building backend APIs, full-stack applications, and AI-powered systems. I have worked as a Software Development Engineer at Brillio, where I contributed to a patient engagement platform using Java, Spring Boot, REST APIs, JWT authentication, SQL-backed data access, and React.js. My current work includes building Python-based research pipelines for multilingual LLM knowledge editing and evaluation across RAG, ROME, MEMIT, and IKE. Technical skills: Java, Spring Boot, Python, FastAPI, JavaScript, TypeScript, React.js, Next.js, PostgreSQL, MySQL, Supabase, AWS, REST APIs, WebSockets, JWT, JPA/Hibernate. I’m currently looking for Software Engineer, Backend Engineer, and Full-Stack Developer opportunities.
• Designed and implemented modular Python services for multilingual data ingestion, transformation, and ripple-effect evaluation, processing 500+ factual edits across English, Hindi, Marathi, Telugu, and Kannada using RAG, IKE, ROME, and MEMIT. • Built automation scripts to run large-scale LLM knowledge-editing experiments across LLaMA-3, Qwen-2.5, and Mistral, reducing execution time by ~20% through batching, parallelization, and optimized I/O. • Developed metrics and evaluation modules to track edit accuracy, consistency, and ripple effects across models, enabling reliable regression testing and improving evaluation stability by ~18%. • Implemented logging, experiment tracking, and result persistence to support reproducible runs, debugging, and comparison across model versions and datasets. • Refactored experimental code into production-style pipelines, improving readability, testability, and reuse for future experiments and extensions.
Provided guidance and support to new graduate students, assisting them in navigating academic challenges and campus life while cultivating a collaborative community.
• Contributed to a patient registration portal for patient engagement workflows, enabling secure participant registration, study enrollment management, visit scheduling, reminders, and communication flows. • Built Spring Boot REST APIs to create, retrieve, update, and validate patient, site, visit schedule, reminder, and study-status data across registration and engagement modules. • Implemented JWT-based authentication, request validation, structured error handling, DTO-based API contracts, and SQL-backed data access to improve frontend-backend integration reliability. • Integrated React.js frontend modules with backend APIs for registration forms, visit schedules, assessment reminders, and patient-site communication views, improving workflow consistency and reducing manual data-entry effort.
• Co-led a dynamic team of 85 members and spearheaded the successful organization of 15 engaging events during the tenure of 2021-22. Events encompassed a diverse range, including expert talks, interactive hands-on workshops, and valuable internship opportunities. • Web Development Internship event , which witnessed an turnout of over 400 participants.