Work History

Worked on threat detection and SIEM Rulesets for Windows and generating datasets using SOCBED and AMIDES machines.

Evaluated and analysed various research based systems for threat detection using machine learning and security principles.

Replicated multiple projects using reverse engineering and research paper principals, proving SIGMA ruleset ineffective.

Designed and implemented scalable Cryptocurrency Forensics and Disk Forensics software.

Designed APIs using C++ and Python backend and Operating System services to increase performance of software.

Managed the team as Lead, optimizing workflows using Git and other tools and communicating design architectures.

Deployed solutions in multiple architectures on AWS Cloud and on Linux Servers using Network Design & Containers.

Gained expertise in cryptocurrency forensics using OSINT techniques.

Worked on real-life cases involving over $20 million in cryptocurrencies.

Set up Cryptocurrency Full Nodes and developed software design on-premises while maintaining client relations globally.

Completed a training internship focusing on deploying end-to-end solutions on AWS Cloud services.

Deployed solutions using AWS Cloudfront, Amplify, IAM, WAF, EC2, CI/CD Pipeline, Lambda, S3, RDS, and DynamoDB.