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Spearheaded the development of Falkon AI, an AI-driven B2B SaaS product, empowering sales and marketing teams with data-driven decisions through an intelligent revenue automation platform.
Developed backend APIs and maintained entity models and segmentation systems on AWS using Node.js (TypeScript), Python, and GraphQL, optimizing querying and analysis of customer-supplied data for enhanced performance and reliability..
Maintained the frontend using React.js, React Query, Next.js, TypeScript, and Tailwind CSS, seamlessly integrating complex data visualization charts with Visx(D3) to elevate user interfaces and provide intuitive data insights
Built a multi-tenancy intelligent revenue automation platform to empower sales and marketing teams, providing metrics, analytics solutions, and actionable insights tailored to individual business needs using React.js, Node.js, Nest.js.
Collaborated with a data science team to develop and integrate machine learning algorithms and Gen AI capabilities with NLP technologies enhancing predictive analytics and decision-making capabilities.
Designed and seamlessly integrated AI-powered chatbots leveraging Amazon Lex and Amazon Connect Chat, employing a combination of JavaScript/TypeScript and Python to deliver personalized customer interactions and support services.
Developed serverless functions utilizing AWS Lambda to generate reports for each tenant, leveraging Node.js for efficient report generation and processing.
Optimized and re-architected the full-stack performance of a large legacy codebase, improving speed, usability, testability, and test coverage to enhance overall system performance and maintainability.
Integrated Google Analytics, Google Tag Manager, and other services, leveraging different issue tracking tools such as Datadog and New Relic to track current product status with known bugs and continuously improve product quality and reliability.
Mentored junior developers, conducted code reviews, and participated in technical discussions with leadership members to ensure alignment with project objectives and adherence to best practices.
Technologies: JavaScript, TypeScript, Node.js, React.js, Redux, Next.js, Nest, GraphQL, Python, AWS, AWS Lambda, PostgreSQL, LLM, NLP, Gen AI, D3, Tailwind CSS, Storybook, Bootstrap, Sentry, Datadog, New Relic, Airflow, Terraform, Google Analytics, FullStory, Payment Integration, Credit Builder, Plaid…Link: https://www.twine.net/signin
Spearheaded the development of Falkon AI, an AI-driven B2B SaaS product, empowering sales and marketing teams with data-driven decisions through an intelligent revenue automation platform.
Developed backend APIs and maintained entity models and segmentation systems on AWS using Node.js (TypeScript), Python, and GraphQL, optimizing querying and analysis of customer-supplied data for enhanced performance and reliability..
Maintained the frontend using React.js, React Query, Next.js, TypeScript, and Tailwind CSS, seamlessly integrating complex data visualization charts with Visx(D3) to elevate user interfaces and provide intuitive data insights
Built a multi-tenancy intelligent revenue automation platform to empower sales and marketing teams, providing metrics, analytics solutions, and actionable insights tailored to individual business needs using React.js, Node.js, Nest.js.
Collaborated with a data science team to develop and integrate machine learning algorithms and Gen AI capabilities with NLP technologies enhancing predictive analytics and decision-making capabilities.
Designed and seamlessly integrated AI-powered chatbots leveraging Amazon Lex and Amazon Connect Chat, employing a combination of JavaScript/TypeScript and Python to deliver personalized customer interactions and support services.
Developed serverless functions utilizing AWS Lambda to generate reports for each tenant, leveraging Node.js for efficient report generation and processing.
Optimized and re-architected the full-stack performance of a large legacy codebase, improving speed, usability, testability, and test coverage to enhance overall system performance and maintainability.
Integrated Google Analytics, Google Tag Manager, and other services, leveraging different issue tracking tools such as Datadog and New Relic to track current product status with known bugs and continuously improve product quality and reliability.
Mentored junior developers, conducted code reviews, and participated in technical discussions with leadership members to ensure alignment with project objectives and adherence to best practices.
Technologies: JavaScript, TypeScript, Node.js, React.js, Redux, Next.js, Nest, GraphQL, Python, AWS, AWS Lambda, PostgreSQL, LLM, NLP, Gen AI, D3, Tailwind CSS, Storybook, Bootstrap, Sentry, Datadog, New Relic, Airflow, Terraform, Google Analytics, FullStory, Payment Integration, Credit Builder, PlaidWWWWWWWW…