Hi I'm Sandul Manage

CS | Business | Data Science @ UT Austin

About Me

I'm a Computer Science student at UT Austin passionate about building software that is both practical and intelligent. My interests span full-stack software engineering, data science, and data analytics, and I enjoy working at the intersection of these fields to create products that solve meaningful problems.

I love taking ideas from concept to deployment—designing interfaces, developing scalable applications, and using data to enhance user experiences.

I'm currently seeking opportunities where I can continue growing as a software engineer and contribute to impactful products.

Projects

Experience

Quadexa

SOFTWARE ENGINEERING INTERN

August 2026 - Present • Remote
  • Currently contributing to Quadexa - details to be added soon.

ACSE Solutions

AI/ML INTERN

July 2026 - August 2026 • Remote
  • Researched end-to-end infrastructure requirements for training LLMs from scratch, covering GPU clusters, distributed training libraries (FSDP2, DeepSpeed), and deployment stack (PyTorch, FastAPI, vLLM)
  • Documented the architecture and least-privilege security model of a Natural Language Query system integrating Oracle EBS with OCI Generative AI, enabling secure LLM-generated SQL execution across 8+ components
  • Built a voice-controlled ordering prototype in Oracle APEX, integrating the Web Speech API for real-time transcription and dynamic collections for live order storage/display

CoreWeave

DATA ANALYTICS CONSULTANT

Jan 2026 - April 2026 • Austin, TX
  • Engineered dynamic TCO dashboard with interactive data visualizations, enabling instant competitor cost comparisons
  • Researched 60+ data points across 3 major cloud competitors, benchmarking GPU, storage, and networking costs
  • Authored a 15-page TCO report and developed a stakeholder presentation detailing the dashboard’s features/insights

House Doctors of Austin

DATA ANALYTICS CONSULTANT

Sep 2025 - Dec 2025 • Austin, TX
  • Implemented AI-powered receipt ingestion system to automate expense tracking with ~95% field-level accuracy
  • Analyzed 12 competitors (6 local, 6 national), benchmarking offerings and value propositions to strengthen positioning
  • Applied advanced NLP-based sentiment and aspect analysis to 80+ reviews, identifying service enhancements

Xeynergy

Software Development Intern

August 2024 • Remote
  • Built anime recommendation application as a capstone project, applying a RESTful API design to reinforce learned skills
  • Utilized Postman to test and debug API endpoints, ensuring reliable data retrieval and accurate response handling
  • Practiced industry-standard version control with Git, managing changes throughout entire development process

Tools

Java

Python

R

HTML

CSS

JavaScript

React

Swift

SwiftUI

Git

GitHub

FetchAPI

RestAPI

OpenAI

Firebase

SQL

TypeScript

Node.js

Next.js

Express

GraphQL

Vite

Figma

Excel