Working with React-Native and Django based tech stack.

At Snoonu, I was designated as an intern under the housekeeping team. I was specifically in charge of revamping the existing search functionality of the customer application. During my internship, I gained a lot of insight in setting up backend APIs and scalable feature deployment.- Built an ASP.NET Core Web API to host new and improved API search functionality. - Incorporated ElasticSearch Service for faster search query processing so that dynamic searching can be implemented with… Show more At Snoonu, I was designated as an intern under the housekeeping team. I was specifically in charge of revamping the existing search functionality of the customer application. During my internship, I gained a lot of insight in setting up backend APIs and scalable feature deployment.- Built an ASP.NET Core Web API to host new and improved API search functionality. - Incorporated ElasticSearch Service for faster search query processing so that dynamic searching can be implemented with very efficient response times.- Built Logstash scripts to migrate data from Postgres to ElasticSearch Cluster.- Created a React Native demo application to calibrate front end search API specifications.- Stress Tested the Search API using Postman to ensure robustness. Show less

I worked as a developer in creating an automated pipeline for analyzing and sequencing genetic code in new found viruses. This job involved setting up five respective modules, each using its own python scripts and additional software respective to the modules functionality. Finally, our end goal was to computationally link the processes to create one seamless, automated pipeline that translates large datasets of FASTA files to categorized viral sequences.- Helped create a computational… Show more I worked as a developer in creating an automated pipeline for analyzing and sequencing genetic code in new found viruses. This job involved setting up five respective modules, each using its own python scripts and additional software respective to the modules functionality. Finally, our end goal was to computationally link the processes to create one seamless, automated pipeline that translates large datasets of FASTA files to categorized viral sequences.- Helped create a computational pipeline that organizes genome FASTA files and groups sequences for potential new virus sequence aggregation.- Combined compartment modules using NextFlow scripting code to automate sequencing process- Set up C++ OpenMPI intrinsics to convert large dataset information in parallel. Show less

Selected to conduct research from a group of 6 teams under the Q.S.I.U.R.P. Committee.- Built an SML translation engine that expanded existing SML-NJ parser's functionality.- Refactored existing SML-NJ parsing by incorporating syntax to implement the design by contract theory.- Built Python Automating Scripts to ensure seamless integration of our parser to the SML-NJ compilation pipeline.