Built the cutting-edge MetaVoice AI Call Agent Platform. Our goal was to transform front-desk operations by deploying advanced AI phone a...
Built the cutting-edge MetaVoice AI Call Agent Platform. Our goal was to transform front-desk operations by deploying advanced AI phone agents, with a notable initial implementation for Toyota.
The challenge was to create a sophisticated AI platform that could handle complex customer service tasks, thereby improving efficiency and reducing costs for large-scale operations like Toyota.
As the Lead Engineer, I utilized my skills in TypeScript, JavaScript, React, Next.js, Vercel, Machine Learning, REST API, AWS, and Systems Architecture. I led the development of a robust AI solution, ensuring seamless integration and functionality, while adhering to tight deadlines.
The project culminated in a successful deployment with Toyota and a leading UK customer service provider, reaching over 10,000 SMBs. This resulted in significant operational cost savings of over $2 million, showcasing the platform's effectiveness and scalability.
Machine learning
TypeScript
React
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Machine learning
TypeScript
React
System design
JavaScript
Next.js
Design Systems
RESTful API
Vercel
AWS
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Revolutionizing Mental Health Assessments with Psyrin AI
I led the development of Psyrin AI, a platform designed to revolutionize mental...
Revolutionizing Mental Health Assessments with Psyrin AI
I led the development of Psyrin AI, a platform designed to revolutionize mental health evaluations through advanced speech analysis, providing clinicians with personalized treatment plans and enhancing decision-making.
Traditional mental health assessments are often inefficient, costly, and time-consuming, requiring in-person visits that can lead to inaccurate diagnoses. Our goal was to create a scalable, data-driven solution to overcome these challenges.
I developed the platform's core features, including a RBAC-based clinician dashboard, patient onboarding, and assessments. I utilized skills in AI/ML, Django, and TypeScript to implement a machine learning pipeline on AWS, ensuring HIPAA/SOC 2 compliance.
The platform's impact was significant, enabling Psyrin to raise a $1.2 million seed round and achieve 40% monthly growth. It dramatically reduced assessment times and improved diagnostic accuracy, cutting diagnosis costs by 60%.
Django
PostgreSQL
Machine learning
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Django
PostgreSQL
Machine learning
TypeScript
React
GraphQL
Next.js
API Integration
AI/ML
AI
AWS
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