Work History

Designed and automated data pipelines processing 10TB+ of raw data, improving workflow efficiency by 70%.

Developed robust data ingestion and web scraping systems to collect millions of structured and unstructured records.

Integrated LLMs via the OpenAI API to automate data processing and extract actionable insights.

Applied software engineering best practices including modular design, version control, and containerization to optimize performance and maintainability.

Developed a data solution to parse, predict, and generate GeoJSON data from active satellites, reducing runtime by 40%.

Contributed to full-stack development across multiple applications, ensuring performance, scalability, and security.

Identified and resolved critical issues in production deployments, improving stability and reliability of client applications.

Worked with tech stack including PHP, CodeIgniter, Node.js, ReactJS, Apache Airflow, Docker, S3, Vault, and JIRA.

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.