• Architect, design, build our Automated Threat Response engine - this engine is a key part of Detection Team’s strategy to scale in order to support 10X customer growth

• 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

• Designed and optimized Django models to efficiently handle profiles and data relationships for over 46000 users.

• 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.

• Implemented MITREs ATT&CK matrix as scripts, achieving 100% code coverage of cyberattack tactics.

• 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.

• Designed software automating voice perception survey creation, reducing design time by 80%.

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

• Spearheaded full-stack development of a web app automating company-wide manufacturing tracking, utilizing JavaScript, React, and MongoDB, saving over 400 hours monthly.

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

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