Abinesh

Frontend/Full Stack Engineer with 2+ years of experience building scalable, high-performance web applications using React.js, Next.js, JavaScript, TypeScript, Node.js, and MongoDB. Proven experience in architecting distributed backend services, optimizing application performance, integrating GenAI technologies, and delivering secure, production-ready software with a strong emphasis on scalability and maintainability.

Software Development Engineer (Full Stack & GenAI) at VoxyHealth (2026-05 – 2026-08)

• Delivered a production-grade conversational AI voice platform using Twilio, ElevenLabs, Portkey, and LLMs, enabling real-time, bidirectional voice interactions and automating 50,000+ voice calls per month.
• Built scalable AI agents with LLM tool calling, integrating backend microservices through Node.js, Express.js, REST APIs, and WebSockets to automate healthcare workflows, reducing manual operational effort by 80%.
• Integrated Portkey AI Gateway for centralized LLM routing and Langfuse for end-to-end observability, enabling prompt tracing, token usage monitoring, latency analysis, cost tracking, and faster debugging of production AI workflows.

Software Engineer (Full Stack) at Zolvit (formerly Vakilsearch) (2024-05 – 2026-04)

• Developed and maintained a compliance management platform used by 30,000+ monthly active users (MAU), enabling organizations to manage regulatory workflows and expert consultations through a unified system.
• Led end-to-end development of a billing platform supporting sales/purchase invoicing, returns, party and item management; increased product adoption from 56% to 89% MAU and contributed to improved customer retention.
• Scaled the application to support 2M+ users by improving performance through SSG, lazy loading, code splitting, and memoization, reducing page load times by 30% and significantly improving Core Web Vitals and Lighthouse scores.
• Reduced API response latency by ∼35% across microservices by introducing Redis caching for frequently accessed data, optimizing MongoDB queries with targeted indexes, and moving non-blocking operations to asynchronous RabbitMQ consumers, improving throughput and system scalability.
• Built a self-service workflow automation system that eliminated manual operational steps and reduced agent dependency by 80%, significantly improving service turnaround time.
• Migrated 2,000+ service pages to Strapi CMS by designing scalable content schemas and workflows, enabling non-technical teams to manage content independently and reducing developer intervention by 90%.

B.E in Electronics and Communication Engineering – Bannari Amman Institute of Technology (2020 – 2024)