Transforming data into solutions. Building scalable, real-time systems.
New York University
New York, NY, USA
University of Mumbai
Mumbai, Maharashtra, India
Jan, 2024 - Present
Aug, 2021 - Jul, 2022
[IN PROGRESS] Spearheading the development of an AI platform that empowers non-technical users to create customized virtual assistants. The platform leverages domain-specific large language models and is supported by a robust front-end and back-end architecture.
Developed a real-time auction platform with low-latency bidding, synchronized countdown timers, and scalable architecture using AWS services. Reduced response time by 30% and enhanced user engagement through personalized notifications.
Created a web application for uploading, storing, and searching photos using natural language queries. Leveraged AWS ElasticSearch, S3, and Lambda for automation and scalability.
Developed a music-based social networking application integrated with Spotify API for real-time engagement. Achieved a 50-60% latency reduction using Redis Channels and launched it on AWS with a robust CI/CD pipeline.
Built an apartment rental and roommate finder web application with a secure and scalable architecture. Designed an optimized relational database schema for efficient data transactions.
Completed a series of coding challenges focused on data structures and algorithms, simulating real-world technical interview scenarios.
Learn essential Python techniques for data science: lambdas, csv manipulation, DataFrame querying, distributions, sampling, and t-tests.
This course covered implementing Version Control systems, navigating and configuring using the command line, utilizing GitHub repositories, creating GitHub repositories, and effectively managing code revisions.
This course covered fundamentals of User Experience (UX) design and research. It also covered Front-End Web Development, creating wireframes and prototypes in Figma