Aug 2020 – Mar 2022 · 1 yr 7 mos

• Product: CloudNAC - Cisco Meraki
• Worked on ELK stack for ingesting and analyzing endpoint device logs, enhancing logging and reporting capabilities.
• Worked on building microservices for certificate management, implementing OCSP protocol, Certificate Revocation Lists (CRLs), and certificate validation.
• Implemented telemetry features to improve system monitoring and diagnostics.
• TechStack: Java, RMQ, Redis, MongoDB, Spring, AWS, Docker, Kubernetes, ACM.
• Product: Identity Services Engine (ISE)
• Contributed to the 5GaaS project, mapping IMEI with SUPI for seamless integration within the ISE environment.
• Developed features for managing subscriber bulk operations, addressing MAC randomization, and enabling SAML login.
• Worked on REST services to support smart licensing capabilities.
• TechStack: Java, Kubernetes, Docker, Helm, Spring, Hibernate, MySQL, Redis, ElasticSearch, RMQ, Gradle.

Jan 2020 – Aug 2020 · 7 mos

• Worked on a plugin to manage the deployments of Cisco Identity Service Engine via DNA Cloud Platform for integrating deployment related workflows. Worked on both Frontend and Backend.
• Worked on the Device Classification Service for managing and analyzing endpoint data. Designed Cron-jobs for effectively managing the endpoint data (tested for 80 million endpoints) on DNA Cloud Platform. Used Kubernetes for deploying the jobs.
• TechStack : GoLang, Gradle , gRPC's, Proto-buffers, Java, Maven, Javascript, React, kubernetes

Jun 2019 – Jul 2019 · 1 mo

• Worked on securing the traffic at network layer using IpSec (Libreswan) for Identity Service Engine (ISE).
• Designed and built a POC demonstrating the above on a Redis cluster using DynamoDB. Also demonstrated the advantages of horizontal data replication in DynamoDB for managing session data.
• TechStack - Docker, Dynamodb,Wireshark, Redis, Python, Java.

Jun 2018 – Oct 2018 · 4 mos

• Worked on AutoML project which primarily focussed extracting meaningful features from datasets in unsupervised/semi-supervised manner. Worked on below areas:
• Multivariate time series analysis, Univariate time series analysis, Anomaly detection, time series outlier detection, change point detection like Bayesian change point detection, Break out detection using Twitter break out detection.
• Timeseries forecasting- Using statistical methods like ARMA/ARIMA,prophet, exponential smoothening, TBATS to return best possible forecast. Also implemented feed forward neural network(nnear), LSTM for forecasting.
• Hypothesis testing using p-values for categorical and continuos variables (Anova, Chi-Squared,etc)
• Feature selection using various statistical analysis and methods, PCA for dimensionality reduction, sckit learn Factor analysis, etcetera.
• Implementing custom algorithms such as extracting the hierarchical relations existing in a dataset, Factor analysis for finding structural changes during outliers occuring in a dataset, ranking algorithm,etcetera.
• Tech stack - Python, Pyramid and R

Dec 2017 – Feb 2018 · 2 mos · Bengaluru Area, India

• Developed Web apps in React and Backend with python-flask and integrated chat-bot over it with IBM Watson Conversation as a Service. Worked with micro services.

Jan 2016 – Jan 2018 · 2 yrs