Hey there! Thanks for visiting my webpage! I am a Master’s student at Carnegie Mellon University, specializing in Data Science. Previously, I worked as a Software Engineer (ML) at Microsoft on improving Search Engines at scale and improving the ranking and summarization of web search results using LLMs. I graduated from BITS Pilani with a bachelor’s degree in Computer Science and a minor degree in Data Science. I have worked on various projects involving deep learning, time series analysis, social network analysis, and NLP question answering, collaborating with prestigious institutions and organizations such as Seagate, JPMorgan Chase, University of Hamburg, and CSIR-CEERI. I am excited about building tools for reproducible AI research, working on developing new algorithms and designing scalable software which will help in training, visualizing and evaluating machine learning models in real-time on static and dynamic datasets. I am proficient in C++, Python, C, Java, C#, R, SQL, Shell Scripting, Go, Scala, JavaScript and Swift programming languages, and have experience with frameworks such as PyTorch, Tensorflow, Keras, NLTK, OpenAI, Transformers, LangChain, OpenFace, Elasticsearch, AWS, GCP, Azure, Spark, Hadoop, Kafka, React, Angular, Kubernetes, Docker, Tableau, CUDA, A/B Testing.