Feb 2022 – Apr 2022 · 2 mos · Seattle, Washington, United States

Jul 2020 – Feb 2022 · 1 yr 7 mos · Bellevue, Washington, United States

Sep 2019 – May 2020 · 8 mos · Scottsdale

• I use state of the art natural language processing technologies like Bidirectional Encoder Representations from Transformers (BERT), Robustly Optimized Bidirectional Encoder Representations from Transformers (RoBERTA), etc. to solve open problems in natural language processing and natural language understanding like question answering, information retrieval, etc. I use the principles of transfer learning-- I use the aforementioned deep learning models and used the data that I collected (that I had scrapped or collected from the publically available datasets) to finetune these models and make them suitable for my task. I was responsible for end to end machine learning tasks like data cleaning, fine-tuning the pre-trained models and validation of the results. For my research, I also use Arizona State's supercomputing facility called the Agave Cluster, which has multiple graphics processing units helping me speed up the training of deep neural networks. I also use Google colab environment for writing much of my code. Finally, I also read a lot of the recent research papers in the natural language domain to come up with new novel ideas and help me understand the latest state of the art advances in the same.

May 2019 – Aug 2019 · 3 mos · Greater Seattle Area

• F3 Fulfillment and Pickup (5657).
• Developed REST APIs in Java (Spring) using Lombok, JAX-RS, etc. Applied design patterns like Command Pattern, Facade Pattern, Decorator Pattern, Singleton Pattern, etc. for an efficient and clean implementation of the task. Wrote frontend code in JSP, Bootstrap 3, JQuery.

May 2017 – Jun 2018 · 1 yr 1 mo · Bengaluru Area, India

• I worked at Liv.ai (a subsidiary of Flipkart)
• I developed scalable systems for natural language translation and transliteration. I was instrumental in converting the company's monolithic architecture to service-based architecture writing Dockerfiles and using Nomad/Kubernetes to create distributed services. I also used SaltStack automation and task executions. I worked on GlusterFS to distribute the audio .flac files which were used in training the Neural Nets and played with various network parameters like wmem, rmem to decrease network latency of systems.
• I also worked as a full-stack developer and wrote backend code in Django and frontend code in Angular. I used Nginx and uwsgi as the webserver and the application server respectively. I also spent my time guiding interns and other web developers.

Aug 2016 – Sep 2016 · 1 mo · New Delhi Area, India

• CTA for the R Programming course by John Hopkins on Coursera.
• Responsible for moderating the forums, clearing student's doubts, reporting content issues and communicating problems/feedback to the course staff.

May 2016 – Apr 2017 · 11 mos · New Delhi Area, India

• JAVA (Spring). Implemented Google Analytics for gaining insights into user-website interaction and Selenium for data scrapping.
• Built a recommendation engine to predict prices of Mutual Funds-- setup 2 node ​​Hadoop ​cluster and analyzed daily stock prices from Bombay Stock Exchange and calculated expected returns in ​​Numpy​, ​scikit-learn​ and ​py-spark​​.