Sourabh Rastogi

Highly skilled Senior Software Engineer with a proven track record in designing and developing innovative software solutions. Possessing a strong technical background and expertise in various programming languages, driven to deliver high-quality products that exceed client expectations. Seeking a challenging role in a dynamic organization to utilize skills and contribute to the success of the team.

• Programming Languages: Java
• Web Technologies: HTML, CSS, JavaScript, jQuery
• Frameworks/Technologies: Spring Boot, Spring Security, Spring MVC, Hibernate, Java EE, Kafka, Solr, Redis
• Microservices: Design and development of independent microservices using Spring Boot, Docker, Kubernetes, RESTful APIs, and AWS.
• Multithreading : Java Executor Service, ThreadPoolExecutor.
• Design Patterns: Singleton, Factory, Observer, Adapter, and others.
• Data Structures & Algorithms: Proficient with common data structures such as Arrays, Lists, HashMaps, Queues, and Trees.
• Databases: RDBMS (MySQL) , Redis (Caching)
• Version Control: Git, SVN , Bitbucket
• Containerization & Orchestration: Docker, Kubernetes
• Cloud Infrastructure: AWS (EC2, Lambda, S3, RDS)
• CI/CD Tools: Jenkins, Git, Maven, Gradle
• Testing & Code Quality: JUnit, Mockito, SonarQube, JaCoCo, Mend Scan
• Security: OAuth2, JWT, Modern authentication/authorization
• Tools: Jira, Confluence, Solr (Search engine)

Project Name: SNYPR DATALAKE

Technologies: Java, jQuery, Bootstrap, MySQL, Groovy, Grails, Hadoop, Spark, Solr, HBase, Redis, Kafka, etc.

Role: Senior Software Developer

About:
SNYPR is a cutting-edge Big Data Security Analytics Platform designed to provide advanced security monitoring and threat detection capabilities. Built on Hadoop and leveraging machine learning-based anomaly detection techniques from Securonix, SNYPR enables efficient analysis of vast amounts of security data. It provides comprehensive tools for threat investigation, risk management, and data visualization across multiple tenants.

Key components of SNYPR include:

• Security Command Center: A centralized dashboard for real-time monitoring of security alerts, enabling quick response to potential threats.
• Spotter: A powerful log search and event investigation tool that empowers security teams to quickly identify suspicious activities.
• Data Insights: An interactive module for visualizing security metrics, compliance data, and overall system health, helping teams understand trends and risks.
• Incident Management System: A fully integrated system for tracking and managing security incidents, ensuring effective resolution and reporting.

Project Name: Analytics Policy Management System (APMS)

Technologies: Java, Springboot, Microservices, RestAPI , JPA, R2DB, Solr, Redis, Kafka, etc.

Role: Senior Software Engineer

About:

APMS is a platform designed to enable the creation, management, and execution of security policies and use-cases for detecting violations. This system provides a set of APIs for the CRUD operations of these policies, enhancing the ability to monitor and detect suspicious events in real-time.

Project Name: Content Management System (CMS)

Technologies: Java, Jquery, MySQL, Bootstrap ,Groovy, Grails, etc.

Role: Full Stack Software Engineer

About:

The Content Management System (CMS) enables security detection engineers to deploy, manage, and update security-related content (such as policies, parsers, and threat intelligence) within their SNYPR environment. The platform allows content administrators to seamlessly share and deploy content from a centralized library to local repositories.

Project Name: Profiler (UEBA Tool)

Technologies: Java, Jquery, MySQL, Bootstrap ,Groovy, Grails,etc.

Role: Software Engineer

About:

Profiler is a User and Entity Behavior Analytics (UEBA) tool which goes beyond traditional log analysis by using advanced machine learning to discern the intent behind user actions, distinguishing legitimate operations from potential threats. Our solution combines real-time data with historical behavior analysis to effectively identify insider threats and external takeovers before they escalate, ensuring sophisticated threat detection with minimal noise.

• Snooker

• Carrom

• Badminton