Hi, I’m Tanvi Arth Mehta, a software engineer with over 10 years of experience building scalable, AI-driven enterprise applications and full-stack systems across cloud environments. I specialize in Java, Python, TypeScript, React, and Node.js, with a strong focus on microservices architectures, distributed systems, and performance optimization. I've delivered production-grade AI solutions, including LLM-powered chatbots and agent-based workflows integrated with ETL pipelines to boost accuracy and efficiency. I’m hands-on with AWS, Azure, Kubernetes, Docker, and CI/CD pipelines, enabling reliable, high-frequency deployments. I design secure, high-performance systems with modern APIs, messaging frameworks, and data platforms for enterprise-scale applications.

Tanvi Arth Mehta

Hi, I’m Tanvi Arth Mehta, a software engineer with over 10 years of experience building scalable, AI-driven enterprise applications and full-stack systems across cloud environments. I specialize in Java, Python, TypeScript, React, and Node.js, with a strong focus on microservices architectures, distributed systems, and performance optimization. I've delivered production-grade AI solutions, including LLM-powered chatbots and agent-based workflows integrated with ETL pipelines to boost accuracy and efficiency. I’m hands-on with AWS, Azure, Kubernetes, Docker, and CI/CD pipelines, enabling reliable, high-frequency deployments. I design secure, high-performance systems with modern APIs, messaging frameworks, and data platforms for enterprise-scale applications.

Available to hire

Hi, I’m Tanvi Arth Mehta, a software engineer with over 10 years of experience building scalable, AI-driven enterprise applications and full-stack systems across cloud environments. I specialize in Java, Python, TypeScript, React, and Node.js, with a strong focus on microservices architectures, distributed systems, and performance optimization.

I’ve delivered production-grade AI solutions, including LLM-powered chatbots and agent-based workflows integrated with ETL pipelines to boost accuracy and efficiency. I’m hands-on with AWS, Azure, Kubernetes, Docker, and CI/CD pipelines, enabling reliable, high-frequency deployments. I design secure, high-performance systems with modern APIs, messaging frameworks, and data platforms for enterprise-scale applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Advisory Software Engineer at IBM
June 1, 2022 - January 1, 2026
Led the development of the AI-powered Enterprise Knowledge Assistant by designing RAG-based pipelines using LangChain, OpenAI APIs, TensorFlow, and vector databases to enable intelligent document retrieval and contextual responses. Spearheaded system design for scalable microservices using Node.js and Express.js, improving application performance and reducing latency by 35%. Engineered advanced data processing workflows with Python, Pandas, and NumPy to support real-time analytics and decision-making across enterprise datasets. Designed and implemented GraphQL APIs to streamline data access patterns and improve frontend-backend communication. Optimized database performance by implementing indexing strategies and query tuning in PostgreSQL, enhancing data retrieval speed by 30%. Orchestrated containerized deployments using Docker and Kubernetes, ensuring high availability and seamless scaling across distributed environments. Integrated event-driven architectures using RabbitMQ to suppor
Senior Software Engineer at IBM
April 1, 2019 - June 1, 2022
Architected the Customer Intelligence Platform using microservices to enable real-time data processing and personalization across enterprise applications using Java and REST APIs. Designed and optimized scalable backend services by implementing distributed system patterns and concurrency controls, improving system throughput by 40%. Developed responsive user interfaces leveraging React JS and Tailwind CSS, enhancing user engagement and reducing page load time by 25%. Engineered secure API integrations with OAuth2 and JWT-based authentication, ensuring compliance with enterprise security standards and seamless third-party connectivity. Built and managed data pipelines integrating PostgreSQL and MongoDB, enabling efficient storage, retrieval, and transformation of high-volume transactional data. Automated CI/CD workflows using Jenkins and GitHub Actions, streamlining deployment processes and reducing release cycle time by 30%. Deployed and managed cloud-native applications on AWS using E
Full Stack Developer at CyberBrains Inc. Client: Safeway
November 1, 2017 - March 1, 2019
Architected and delivered scalable payment solutions using Azure microservices (Node.js, Cosmos DB), supporting high-volume transactions and improving system reliability by 30%. Implemented secure payment workflows by integrating encryption, authentication, fraud detection, and Apple Pay, strengthening transaction security and reducing failure rates across retail applications. Designed robust backend services and reconciliation pipelines for Scan & Go and OTF applications, ensuring accurate transaction processing and consistency across systems. Streamlined release cycles by building automated CI/CD pipelines in Azure DevOps, reducing deployment time from hours to minutes and increasing release frequency by 4x. Optimized deployment processes by introducing automated testing, environment-based branching, and API validation, improving release stability and production reliability. Enhanced overall system scalability and performance by applying microservices best practices.
Systems Engineer at Tata Consultancy Services
December 1, 2014 - December 1, 2016
Revamped enterprise web interfaces and backend services by developing scalable SPA modules using AngularJS and Bootstrap, improving UI responsiveness and reducing maintenance overhead. Engineered optimized RESTful APIs and integrated frontend-backend workflows, enhancing system reliability and operational efficiency across enterprise applications. Improved admin productivity by designing and implementing admin interface modules, streamlining user interactions. Enhanced backend performance and data reliability by tuning complex SQL queries and optimizing database structures for high-volume enterprise workflows. Ensured data consistency across multiple client systems by designing robust backend services and maintaining efficient data handling practices.
Android Developer at Aecor Technologies
December 1, 2013 - December 1, 2014
Engineered responsive, tablet-optimized mobile applications using Android frameworks, improving cross-device usability and performance across multiple screen sizes. Developed a Football League App with optimized tablet layouts, owning the full development lifecycle from design to deployment. Designed adaptive UI components and optimized layout responsiveness, enhancing user experience and ensuring smooth performance across devices. Managed application lifecycle, including development, testing, and release, delivering a stable and production-ready Android application. Improved overall application performance and usability by refining UI components and implementing efficient lifecycle management practices.
Full Stack Developer at CyberBrains Inc. — Client: Safeway
November 1, 2017 - March 1, 2019
Architected and delivered scalable payment solutions using Azure microservices (Node.js, Cosmos DB), supporting high-volume transactions and improving system reliability by 30%. Implemented secure payment workflows by integrating encryption, authentication, fraud detection, and Apple Pay, strengthening transaction security and reducing failure rates across retail applications. Designed robust backend services and reconciliation pipelines for Scan & Go and OTF applications, ensuring accurate transaction processing and consistency across systems. Streamlined release cycles by building automated CI/CD pipelines in Azure DevOps, reducing deployment time from hours to minutes and increasing release frequency by 4x. Optimized deployment processes by introducing automated testing, environment-based branching, and API validation, improving release stability and minimizing production issues. Enhanced overall system scalability and performance by applying microservices best practices, improving

Education

Bachelors in Computer Science at Gujarat Technical University, India
January 11, 2030 - June 1, 2014
Bachelor in Computer Science at Gujarat Technical University, India
January 11, 2030 - June 1, 2014
Bachelors in Computer Science at Gujarat Technological University, India
January 11, 2030 - June 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics