Application Security Team

Built and deployed Innovations Mastery App on Desktop and iOS (URL: https://app.innovationsmastery.com) an AI-native operating system that helps entrepreneurs go from idea to revenue through learning, events, community, and SaaS tools, an extension of my audience of 1,000,000+ followers across social media (Instagram: @innovations_mastery).

At the core is 𝐍𝐨𝐯𝐚, our AI Operator: it converts goals into step-by-step plans, orchestrates the right tools and people, and tracks measurable outcomes as companies scale

𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞:

➡️ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 (𝐖𝐞𝐛): built with Next.js 14 (App Router) and React 18, using TypeScript, TailwindCSS, and Prisma ORM connected to PostgreSQL via Supabase for scalable cloud hosting and authentication.

➡️ 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩: developed in React Native / Expo Router, sharing core business logic with the web codebase to ensure seamless cross-platform deployment on iOS / Android.

➡️ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 / 𝐀𝐏𝐈 𝐋𝐚𝐲𝐞𝐫: Node.js + TypeScript micro-services with REST + GraphQL endpoints; integration of background jobs and analytics pipelines.

➡️ 𝐀𝐈 / 𝐌𝐋 𝐋𝐚𝐲𝐞𝐫: Nova, AI Operator powered by Anthropic LLMs (Haiku, Sonnet, Opus) and a Retrieval-Augmented Generation (RAG) pipeline that dynamically builds each user’s “AI Journey” roadmap by combining vector-database search with contextual prompt-chaining.

➡️ 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐞𝐚𝐫𝐜𝐡: implemented with Pinecone + Supabase pgvector, embedding course data, SaaS tools, and community network/insights to deliver contextual recommendations in real time.

➡️ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 / 𝐃𝐞𝐯𝐎𝐩𝐬: containerized with Docker, deployed on Vercel (Web) and AWS Lambda / S3 / CloudFront for the backend and media assets; CI/CD managed through GitHub Actions with automated testing and email reporting.

➡️ 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: environment-specific configuration, HTTPS/TLS enforced, structured logging, and role-based access control.

Developed and optimized a Python-based email reporting system, enhancing the reliability and scalability of test result notifications across multiple environments, also implemented a batch of SAP Fiori and Netweaver tests using Selenium.

➡️ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: Built a Python-based email reporting system using GitHub Actions, automating test notifications for specific environments, which increased notification efficiency by 70%.

➡️ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Optimized JSON processing and Base64 encoding to efficiently handle large test results, reducing processing time by 40%.

➡️ 𝐑𝐨𝐛𝐮𝐬𝐭 𝐄𝐫𝐫𝐨𝐫 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Integrated robust error handling mechanisms, minimizing downtime and ensuring smooth usage.

➡️ 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐑𝐞𝐜𝐢𝐩𝐢𝐞𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Implemented dynamic recipient management, enabling automated recipient updates and scalable multi-environment deployment.

➡️ 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞: Increased system resilience by addressing edge cases and refining error-handling processes, enhancing overall reliability.

As a Software Engineer Intern, I contributed to the development and performance optimization of a MEAN stack application, driving improvements across both backend and frontend components.

➡️ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭: Developed and enhanced 10+ features for a MEAN stack application (MongoDB, Express.js, Angular, Node.js).

➡️ 𝐀𝐏𝐈 𝐃𝐞𝐬𝐢𝐠𝐧 & 𝐁𝐚𝐜𝐤-𝐄𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Designed and implemented 5 new backend APIs, increasing data processing efficiency by 40%, implementing Postman for rigorous testing and debugging.

➡️ 𝐅𝐫𝐨𝐧𝐭-𝐄𝐧𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐁𝐨𝐨𝐬𝐭: Boosted front-end performance by 30% by transitioning from lazy loading to dynamic loading, reducing database query loads by 25%.

➡️ 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐓𝐢𝐦𝐞 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧: Reduced execution time for key features by 20%, leading to significantly faster response times.

➡️ 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐁𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 𝐑𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Conducted performance analysis to identify and resolve 15+ bottlenecks, enhancing system responsiveness by 20%.

➡️ 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Optimized data handling in MongoDB, achieving a 35% reduction in load times and improving storage efficiency by 25%.

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 & 𝐕𝐢𝐫𝐭𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Leveraged Docker and virtualization tools to streamline development, testing, and deployment processes, ensuring isolated environments for compatibility testing and seamless integration during updates and migrations.

➡️ 𝐋𝐢𝐧𝐮𝐱-𝐁𝐚𝐬𝐞𝐝 𝐎𝐒 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Worked on a migration from CentOS 7 to Rocky Linux, leveraging extensive Linux expertise to ensure a stable and secure system upgrade.

➡️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Successfully migrated a live MongoDB database from version 4 to version 7, updating Java and TypeScript code to ensure compatibility and backward compatibility. Used Docker for a smooth and efficient transition process.