SHAURYA SHARMA
Software Engineer | Backend & AI
Building scalable backend systems, AI applications, and developer tools.
Hello!
I'm Shaurya Sharma
4th year Computer Science Engineering student at KIIT University, Bhubaneswar, India.
Currently a Full-Stack Developer Intern at VIAI Beauty.
Hello!
I'm Shaurya Sharma
Computer Science Graduate from KIIT University, Bhubaneswar, India.
I build backend systems, cloud-native applications, and AI-powered software that solve real-world engineering problems. My work focuses on designing scalable APIs, distributed workflows, and production-ready platforms using modern software engineering practices.
I specialize in Python, Java, FastAPI, Spring Boot, PostgreSQL, and AWS, with experience building REST APIs, asynchronous services, authentication systems, and developer tooling. I also work with agentic AI, workflow orchestration, and LLM integration to automate complex engineering tasks while maintaining reliability and security.
As a Computer Science graduate, I enjoy building systems from the ground up—from architecture and backend development to deployment and automation. I am driven by creating software that is scalable, maintainable, and impactful, with a strong emphasis on clean design, performance, and long-term reliability.
Experience.
VIAI BEAUTY
Full-Stack Developer Intern (Remote, US) | Oct 2025 – Dec 2025
Technologies: Python, FastAPI, AWS ECS, DynamoDB, S3, Shopify APIs, Docker
- • Built and deployed backend microservices for an e-commerce analytics platform, automating large-scale customer review ingestion and processing.
- • Designed scalable FastAPI services on AWS ECS integrated with DynamoDB and S3 to support high-volume asynchronous data workflows.
- • Implemented Shopify API ingestion pipelines, improving data reliability and reducing manual operational overhead.
THE INNER LABS
Backend Developer Intern (Remote) | Jan 2026 – Feb 2026
Technologies: Java, Spring Boot, NextJs
- • Developed and maintained backend services using Java Spring Boot, designing and exposing RESTful APIs for core product features.
- • Built and enhanced the product dashboard using Next.js, implementing dynamic UI components and integrating them with backend APIs.
- • Resolved production and staging bugs across backend and frontend, improving system stability and reducing recurring issues.
Resume.
Education
KIIT University
2022 - 2026
Computer Science Engineering - B.Tech
Skills
Projects
NascentAI
LiveAutonomous Software Engineering Platform | June 2026
Technologies: Python, FastAPI, PostgreSQL, LangGraph, GitHub Apps, Docker, JWT, Next.js, Render
- • Designed and developed a distributed backend platform that automates GitHub repository analysis, implementation planning, source code modifications, branch management, and pull request creation through authenticated GitHub workflows.
- • Engineered asynchronous workflow orchestration using FastAPI and LangGraph, coordinating repository analysis, context retrieval, code generation, Git operations, and approval pipelines for reliable software delivery.
- • Implemented secure GitHub App authentication using JWT and installation access tokens, enabling authenticated access to private repositories, automated commits, branch creation, and pull request generation through the GitHub API.
- • Built a production-ready backend with PostgreSQL persistence, Dockerized deployment, REST APIs, and cloud hosting on Render, integrated with a Next.js frontend deployed on Vercel.
Unbiased
LiveDeveloper Context Platform | Mar 2026 – Apr 2026
Technologies: Python, FastAPI, FastMCP, GitHub APIs, OAuth 2.1, PostgreSQL (Neon), Render
- • Developed a backend platform exposing structured developer metadata through standardized APIs, enabling AI clients to retrieve project, technology, and contribution context on demand.
- • Implemented OAuth 2.1 authentication and authorization workflows compatible with remote MCP clients, resolving deployment, redirect, and authentication challenges in a cloud environment.
- • Designed backend services for context filtering and retrieval, integrating GitHub APIs and PostgreSQL to efficiently surface relevant developer information while reducing unnecessary data transfer.
- • Containerized and deployed the application on Render, delivering a production-ready service submitted to the Anthropic MCP Registry and mcp.directory.
Specforge
LiveAI-Native Product Management Platform | Apr 2026 – June 2026
Technologies: Python, FastAPI, PostgreSQL, Next.js, OpenAI, Docker, Vercel, Render
- • Developed a full-stack product management platform that converts customer conversations, feature requests, and documents into structured PRDs, user stories, and engineering specifications using LLM-powered workflows.
- • Designed scalable backend services with FastAPI and PostgreSQL for authentication, document processing, project management, and persistent data storage following RESTful API design principles.
- • Integrated AI-powered requirement extraction, structured document generation, and collaborative editing workflows, reducing manual effort in software planning and technical documentation.
- • Containerized and deployed the platform using Docker with cloud hosting on Render and Vercel, enabling reliable production deployments and scalable collaboration across multiple projects.