Sovit kumar Agarwal

Topic: Unsupervised detection of anomalies from distributed system logs It aims at identifying anomalies & their root causes in the logs from OpenStack cloud platform, thereby aiding security team to efficiently address irregular log behavior. Below are some of the steps & techniques employed: 1. Feature extraction using NLP techniques like BoW, TF-IDF & Doc2Vec. 2. Semi/unsupervised ML algorithms like Autoencoder, Isolation Forest & OCSVM. 3. Implemented time-series sequence prediction using LSTM.

Implemented user change requests to enhance the system capabilities using Go & Python Automated tasks using Python & Shell to improve code re-usability & save development time Wrote test scripts using Pytest framework for regression & smoke testing Wrote Docker files; deployed & managed them using Kubernetes Pushed code changes to GitHub & used Jenkins for CI/CD Documented user & developer manuals as wiki pages on GitHub Efficiently delivered user change requests meeting SAP’s software standards

Efficiently handled end-to-end processes in SDLC - Agile & Iterative Waterfall Involved in client interaction for cost & effort estimations, project planning & documentation of development approach & test plans Performance tuning of SQL queries to reduce execution time & improve database performance Developed complex database objects like Stored Procedures, Functions, Packages & Triggers using SQL & PL/SQL Worked in an integrated environment where applications shared data through ETL using Informatica

Worked as a QA Engineer to test products and log defects in the system. Developed a client-server automation tool using C Sharp and .Net for executing regression test scripts on client systems, which eliminated user intervention and reduced the manual effort required to test different versions of the application under test.

Distributed Systems including courses like Cloud Computing, Industrial Internet of Things, Network Protocols and Architecture, Advanced web technologies and Network Security. Cognitive Algorithms including courses like Machine Learning, Deep Neural Network, Computer-Supported Interaction