About
Hello! I am a Software Engineer at Momento. I completed my MS in Computer Science from the University of California, San Diego in 2022.
I did my BTech in Computer Science and Engineering from IIT Hyderabad and worked as a Software Engineer at Goldman Sachs for two years. I am passionate about large-scale distributed systems and machine learning. Recently, I have started developing an interest in cloud computing.
In my spare, I enjoy cooking, doing yoga, painting, and exploring places :)
- Distributed Systems
- Machine Learning
- Information Retrieval
- Cloud Computing
MS in Computer Science, 2022
University of California San Diego (CGPA - 4.0/4.0)
BTech in Computer Science & Engineering, 2019
IIT Hyderabad (CGPA - 9.15/10.0)
Experience
• Reduced the number of manual touchpoints from six to one by automating the entire process of provisioning developer infrastructure and setting it up.
- Organization Visualizer: Developed a tool for employees to visualize team hierarchy with options to add/remove/move employees and teams, view specific divisions, and search for employees/teams. The application was used firmwide by nearly 40,000 employees.
- RTO Application Suite: Collection of Return-To-Office applications such as daily symptom checker with automatic badge activation and suspension, social distance seating availability based on active desktops, and dashboards for analytics. Involved in fast-paced development due to changing COVID-19 guidelines.
• Mentored 6 interns during their summer internship (2020, 2021).
• Identified high-potential resumes that were earlier rejected with an accuracy of 73.2%.
Accomplishments
Projects
Cloud Services Comparison
Compared and evaluated the performance of four AWS compute services (EC2, ASG, ECS with EC2, ECS with Fargate) for an ML application. Used SageMaker to train the model and compute services for inference.
Concurrent Minimum Spanning Tree
Developed a concurrent minimum spanning tree algorithm inspired by Boruvka’s sequential algorithm.
Finding High Quality Content in Q/A Sites
Designed an algorithm to automatically identify high quality content from Q/A sites (Yahoo Answers).
Gossip Algorithm
Implemented and compared the performance of push and pull-based gossip protocols, which are used to maintain consistency in a distributed system.
LLVM Code Obfuscation
Implemented code obfuscation techniques as LLVM passes to obfuscate LLVM IR.
Natural Disaster Phase Detection
Analysed the usage of twitter hashtags associated with the natural disaster to identify the different phases of the natural disaster.
Predicting Location of the Authors
Designed a link-prediction algorithm to predict the university of authors based on the location of co-authors, number of co-authored papers, most recent paper, and the areas of research of the authors.
Probablistic Language Models
Implemented unigram and trigram probablistic language models and provided a detailed comparative analysis of the same based on perplexity score and qualitative analysis.
Retrieving Tweets Related to News Articles
Implemented an algorithm to rank tweets related to news articles by generating a query and rank based on Lucene’s Scoring function.
Search Engine for Documents
Created a full-stack search portal for institute senate meeting minutes which takes .pdf/.docx documents, automatically identifies the subsections and paragraphs in the document, and provides intelligent search on them using Elasticsearch backend.
Seq2Seq Mode
Implemented a sequence-to-sequence model to translate the text from one language to another. Compared the performance of various sampling strategies used for decoding text using BLEU score.
Paintings
Contact
- [email protected]
- San Diego, California, US