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I'm a full-stack software engineer specializing in React, Next.js, Node.js, and TypeScript.

I'm an early-career software engineer focused on building full-stack applications, backend services, and cloud-integrated systems. I combine frontend and backend development with practical experience in APIs, data, and AI-enabled workflows to turn real problems into reliable, maintainable software. I'm looking for a software engineering role where I can contribute across the stack, learn from experienced engineers, and help build products that deliver meaningful value to users.

© 2026 Sadasiva SankarGitHubLinkedIn

About

Software Engineering Profile

I’m a software engineer interested in building systems that are dependable, easy to extend, and straightforward to work with. My work spans full-stack applications, REST APIs, cloud-based services, and AI-assisted workflows, with attention to how code holds up as needs evolve.

Background

I hold a Master's degree in Computer Science from the University of Illinois Springfield and a Bachelor's degree in Information Technology from the University of North Carolina Wilmington. I am currently pursuing an MBA in Business Intelligence and Data Analytics at Fayetteville State University, which strengthens my ability to connect technical execution with business outcomes.

Work Experience

Software Engineer — Up Cancer

Built and improved full-stack application features spanning React frontends, Node.js backend services, REST APIs, and AWS infrastructure.

  • Developed React interfaces and Node.js REST APIs supporting user-management and operational workflows.
  • Optimized Node.js and AWS REST APIs, improving backend performance by approximately 40%.
  • Built data-backed services and integrations to support reliable access to application and operational data.
  • Collaborated with cross-functional stakeholders to deliver and refine features based on product and workflow requirements.

Open Source Contributor — Oppia

Contributed to an open-source education platform focused on improving web experiences and supporting contributors.

  • Implemented frontend improvements using JavaScript, HTML, and CSS to improve usability across the platform.
  • Contributed documentation and contributor-facing improvements that made project workflows easier to understand and maintain.
  • Worked within an existing Python-based codebase and collaborative open-source development workflow.

AI Training / Evaluation — Outlier AI

Supported AI training and evaluation workflows focused on improving model quality and data reliability.

  • Evaluated AI-generated outputs against defined quality and technical criteria to identify errors and inconsistencies.
  • Applied structured evaluation processes to improve data quality and provide useful feedback for AI model development.
  • Developed practical experience with AI evaluation, data quality, and model-performance assessment.

How I Approach Work

I’m motivated by work that starts with a clear problem and leads to a careful build. I tend to break problems into manageable pieces, shape solutions around the constraints at hand, and refine them as the work progresses.

© 2026 Sadasiva Sankar GitHubLinkedIn

Projects

A selection of projects that reflect how I approach building software: through clear scope, careful execution, and attention to the details that matter.

Up Cancer

Project

Up Cancer

Technologies: React, Node.js, DynamoDB, JavaScript

Implemented React interfaces and Node.js services for user-management and operational workflows.

Supported day-to-day coordination with clearer data flow and more structured interface behavior.

Oppia

Project

Oppia

Technologies: Python, CSS, HTML, JavaScript

Contributed interface and documentation updates for an open-source education platform.

Improved usability and made the experience easier to follow for contributors and learners.

SAS Titanic Supervised Learning

Project

SAS Titanic Supervised Learning

Technologies: SAS, .sas7bdat, PDF, HTML, SAS Viya

Built a supervised-learning workflow for the Titanic dataset using SAS and supporting reporting assets.

Produced a repeatable analysis pipeline and clearer reporting for the results.

NexusHub

Project

NexusHub

Technologies: Next.js, React, Tailwind CSS, Node.js, TypeScript, Supabase, Vercel

Built a collaborative schema editor with real-time interaction and AI-assisted suggestions.

Supported iterative schema work with a more guided editing experience.

© 2026 Sadasiva SankarGitHubLinkedIn

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