Software Engineer, Data Scientist. In love with C, Golang, Python. I am also proficient in JavaScript, have experience with mobile app development using React-Native. Back-end Development in Spring Boot.
I am working as a Site Reliability Engineer at media.net (Directi) where my responsibility is to handle Hadoop clusters.
This summer I worked with CERN as a Google Summer of Code Student Developer where I developed an intelligent alert management system.
Worked with media.net where I designed extensive disk performance monitoring and alerting pipeline. Built a powerful inference system for identifying anomalous behaviour through predictive modelling and clustering technique for time series data.
Worked in Vienna, Austria with an AI startup named Mostly AI where I solved edge prediction problem using Graph Neural Networks and Graph Convolutional Networks. Generated node embeddings for social graphs using node’s features using state of the art in Deep Learning which enhanced the anonymization process of sensitive graphical data.
Worked with Xelpmoc Design & Tech with XPAND team in Summer 2018 as an Intern. Got exposure on MongoDB and Web Scraping and Data Handling. I am keeping myself busy with Deep Learning and Machine Learning.
Projects
Skills
Experience
- Xelpmoc Design & Tech - Software Engineering InternMay 2018 - June 2018
Developed framework for Store Locations prediction for a given business in an urban setup using DBScan Clustering Algorithm and Google Point of Interest API with XPAND Data Analytics team.
- Technische Universit¨at Wien - Research FellowMay 2019 - July 2019
Developed an evaluation framework for Indoor Localization using Directional Antennas considering various clustering algorithm evaluation methods. Contributed to a planned scientific publication titled ”Towards an Evaluation Framework for Indoor Localization using Directional Antennas”.
- Mostly AI - Machine Learning ResearcherJune 2019 - July 2019
Solved edge prediction problem using Graph Neural Networks and Graph Convolutional Networks. Generated node embeddings for social graphs using node’s features using state of the art in Deep Learning which enhanced the anonymization process of sensitive graphical data.
- Media.Net - Software Engineering Intern (SRE)December 2019 - January 2020
Designed extensive disk performance monitoring and alerting pipeline. Built a powerful inference system for
identifying anomalous behavior through predictive modeling and clustering technique for time series data. - CERN - Google Summer of Code Student DeveloperMay 2020 - August 2020
Developed an intelligent and reliable monitoring system for large distributed services to monitor their status in
order to reduce the operational cost.
https://summerofcode.withgoogle.com/projects/?sp-page=2##4648545665155072