- π Final year B.Tech. student in Computer Science at IGDTUW.
- π©βπ» Recently interned at LinkedIn as a Software Engineering Intern in the Data Ingestion SRE team (Summer 2024).
- π‘ Former Flutter Developer Intern at Cure Vibe Pvt Ltd.
- π» Finalist Smart India Hackathon'2023
- π Received scholarships like Google Generation Scholar, Grace Hopper Celebration Scholar, and Harvard WeCode Scholar.
- π Published research on ECAPA-Based Speaker Verification for Virtual Assistants : A Transfer Learning Approach.
- π± Passionate about Frontend/Backend Development and Big Data.
- π Currently exploring: DevOps, Open Source, System Design, and Machine Learning to find my niche.
- β‘ Fun fact: I love reading, discussing on topics and exploring things! They ignite the inner curious child in me.
- Worked on dataset usage patterns, dataset freshness, and identifying downstream users of offline datasets.
- Utilized Scala, Apache Spark, Azkaban, Grafanaand MySQL. Also , gained familiarity with Hadoop Ecosystem and other Big Data Technologies.
- Developing a web app to match students with faculty for final-year research projects.
- Tech Stacks - React Native, Express and MongoDB.
- Key features: User Authentication, Team Formation, Preference Ranking, and Communication Tools.
- Tech Stack Used: Python, SpeechBrain Toolkit
- Implemented secure speaker verification using transfer learning on speech assistants, leveraging the ECAPA-TDNN model to address intra and inter-voice assistant variations. Explored the potential of transfer learning for enhanced speaker verification, significantly improving the accuracy and robustness of voice recognition systems.
- Tech Stack Used: MERN Stack
- Mudra Mitra is a project targeting women and youth on financial literacy. Contributed to both the frontend and backend aspects of the project during the WIEgnite Hackathon, organized by IEEE IGDTUW. The application provides interactive resources and tools to enhance financial literacy and empower users to make informed financial decisions.