Decompose, design and deploy our foundational components of our scaled scoring framework to feed and empower our threat response engine

Operationalize a highly autonomous and scalable threat Response engine for multiple datacenters and regions

Collaborate closely with Software Engineers, ML engineers, Data Scientists and Threat Analysts and correlate feedback to our detection strategy

Participate in Sprint planning, code reviews, standups, and other aspects of the software development life cycle

Used Python to enable users to create applications, upload documents, track their progress, and view incoming financial statuses.

Created secure document upload pipelines, leveraging GCP cloud storage and encryption for sensitive financial documents.

Developed RESTful APIs in Django to facilitate data exchange with a JavaScript-based React frontend, enhancing user interaction.

Integrated financial APIs (Plaid/Stripe) for bank account verification and secure payment processing.

Automated data migration and validation using Python scripts, saving 10+ hours a week.

Built partner facing UI/UX to track their applicants with a Kanban board, email notification subscriptions, and comment system.

Enhanced frontend experience with website pages, new UX patterns, and reducing load times by 90%.

Updated and maintained the marketing site's Sanity based content management studio, saving $1000s in outside contract work.

Set up monitoring dashboards in Datadog and Sentry to proactively identify performance bottlenecks and errors.

Developed interface in JavaScript to control malicious payloads for scenarios like ransomware attacks and antivirus evasion.

Led development of a Python attack orchestrator, facilitating communication between a malicious payload and a machine learning powered engine using RESTful APIs, achieving response times under 3 seconds.

Engineered pipelines for client data and generated performance reports, saving 60+ hours per event.

Improved user emulation code quality, leading to a 15% load time reduction and a 20% file size decrease.

Played a pivotal role in securing multi-million-dollar contracts from international entities by crafting exfiltration and ransomware attack scenarios and delivering compelling presentations.

Analyzed data, identifying 10+ new voice-feature associations, resulting in more realistic voices.

Established API backends with Python (Django), doubling both developer and user efficiency.

Designed several automation tools, increasing team development speed by 20%.