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Graduate Research Assistant
Saint Louis University• October 2019 - Present
• Built a website to visualize Protein related research data using NodeJS, ReactJS, and hosted on AWS along with the PostgreSQL database. • Analysing benchmark for protein sequence mapping using Travelling Salesman, MTCS, Deep Learning. • Building Deep learning model using Graph Convolutional neural networks to predict protein backbone structure which will reduce manual Lab work by 50%. • Developing a new obfuscation protocol for TOR using Differential privacy to reduce network latency and improve anonymity.
Research and Development Intern
Saint Louis University Research Institute• May 2020 - August 2020
◦ Developed COVID19 Contact Tracing App in Flutter to minimize the spread of COVID19 in the University. ◦ Hosted backend on Firebase using Cloud Firestore to increase the scalability of App by 70% . ◦ Strengthened user’s privacy by using Bluetooth Low Energy to trace COVID19 positive users. ◦ 100+ downloads from Google Play store and Apple App Store in 10 days of publishing App for public.
Software Engineer
Tallyfy• October 2018 - April 2019
◦ Optimized dashboard using Amazon Kinesis for real-time data analysis that improved user experience by 35% ◦ Automated mailing process using Shell Scripts that increased client-side efficiency by 67% . ◦ Redesigned backend API’s for an Analytic module to export user’s data for data processing and analysis.
Full Stack Engineer
Marsplay• May 2017 - October 2018
◦ Optimized backend API throughput and latency by 2X by reconstructing REST API to GraphQL. ◦ Revamped User Journey using collected users data that enhanced user onboarding by 25% . ◦ Increased user experience by 55% by automating manual tagging using Tensorflow’s object detection API . ◦ Built mobile app in React-Native to provide consistency in functionalities on Android and IOS devices.
Education
Saint Louis University
Computer Science, MS• August 2019 - Present
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