Ayush Addhyayan

Senior Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable generative AI applications.
Proficient in backend development across multiple programming languages.
Strong experience in automation and CI/CD processes.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Generative AI and Automation solutions.

Contact

Skills

Core Skills

Generative AiFramework DevelopmentPlatform ScalingNode.jsReactDialogflow CxAndroid Development.net Maui

Other Skills

.NET FrameworkAlgorithmsAmazon Web Services (AWS)AndroidApache KafkaArizeArtificial Intelligence (AI)AutomationAutomation solutionsAzure architecture and servicesAzure management and governanceBERT (Language Model)Back-End Web DevelopmentC (Programming Language)C#

About

I am currently working as a Senior Software Engineer in GEN AI team, where I build frameworks and systems that power large-scale generative AI applications. My work includes designing intelligent, context-aware workflows using Semantic Kernel, LangGraph, and other orchestration tools. I focus on creating reliable, scalable platforms that support advanced agentic capabilities. I work across Python, Go, JavaScript, and .NET to build backend services, APIs, and automation pipelines. I am also involved in observability at scale, using platforms such as Arize to monitor model behavior, evaluate system performance, and maintain end-to-end reliability in production environments.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Wells fargo

3 roles

Senior Software Engineer

Promoted

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Building and scaling Generative AI systems to solve complex real-world problems at enterprise scale.

Generative AILarge-scale systemsFramework development

Software Engineer

Aug 2024 – Sep 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Scaling the platform for 1.1 Mn+ endpoints and building end to end automation solutions.

Automation solutionsPlatform scaling

Program Associate

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

I was involved in developing an endpoint management platform designed to streamline the deployment and monitoring of enterprise devices across multiple locations. Leveraging Node.js for backend services and React for the user interface, I contributed to building key functionalities such as device provisioning, status tracking, and automated compliance checks, which enhanced operational oversight and reduced manual intervention by 40%. I helped integrate RESTful APIs to connect with various device management tools and third-party services, allowing for seamless data synchronization and real-time status updates. Additionally, I worked on implementing secure communication protocols and role-based access controls to ensure data security and compliance with industry standards. My role also included optimizing server performance with Redis caching, which significantly improved API response times and user experience. This project enabled me to gain hands-on experience in infrastructure management, endpoint monitoring, and collaborative development in a fast-paced environment.

Node.jsReactRESTful APIsRedis

Ekcs

SDE Intern

May 2023 – Jul 2023 · 2 mos · India · Remote

Utilized tokenization and vector embeddings to surpass token limits in OpenAI queries, ensuring efficient and accurate AI calls.
Successfully integrated Dialogflow CX, improving the conversational capabilities of our applications.
Design Prompt-Based Recommendations: Developed and implemented prompt-based recommendation systems within thier product, MediaFerry, enhancing user engagement and experience.
Streamlined CI/CD pipelines using GitHub Actions, boosting deployment efficiency and reliability.
SonarQube Setup: Established SonarQube for continuous code quality monitoring, significantly enhancing code standards and maintainability.

TokenizationDialogflow CXCI/CD pipelinesSonarQube

Basel practitioners pvt. ltd.

Backend Devlopment Intern

Dec 2022 – Feb 2023 · 2 mos · Kolkata

Developed an Android application serving as a farmer marketplace where users can bid, buy, and sell agriculture-related products based on location.
Built the front end using Java for a seamless and user-friendly Android experience.
Implemented the back end with Node.js and MongoDB, ensuring robust data management and efficient operations.
Established a CI/CD pipeline to streamline development and deployment processes, enhancing overall productivity using GitHub actions and private runner.
Followed the Software Development Life Cycle (SDLC) meticulously to ensure high-quality deliverables and maintain project integrity.

Android DevelopmentNode.jsMongoDBCI/CD

Wells fargo

Software Engineering Intern

Jun 2022 – Aug 2022 · 2 mos · Bengaluru, Karnataka, India

Led a team of 10 interns to deliver a productivity and assistance app within just a few months, showcasing strong project management skills.
Worked on both client-side and backend development of a utility tool built in .NET MAUI, ensuring seamless user experience and robust functionality.
Created an Admin dashboard for crash analytics, log monitoring, sending blast notifications, and executing remote commands, significantly enhancing operational efficiency.
Integrated Redis for server-side caching, achieving a 94% reduction in API response time.
Built a CI/CD pipeline using GitHub Actions, conducted stress and load testing with Apache JMeter, and wrote comprehensive unit tests for the backend to ensure reliability and performance.

.NET MAUIRedisGitHub Actions