Akshita Santra

About Me

Hi! I'm Akshita. I build software, train machine learning models, make internship vlogs, and occasionally convince robots to behave. I'm currently studying Computer Science at UT Austin and spend most of my time somewhere between AI agents, healthcare technology, robotics, and whatever side project sounded like a good idea at 2 AM.

Education: B.S. in Computer Science, Minor in Business — May 2028

Relevant Coursework: Data Structures & Algorithms, Operating Systems, Linear Algebra, Computer Architecture

Skills

Programming Languages

Java, Python, C++, C, JavaScript, TypeScript, C#, Swift

Backend & Databases

FastAPI, Node.js, Express, REST APIs, PostgreSQL, MySQL, InfluxDB, MongoDB, Prisma, SQL, WebSockets

AI & Data

OpenAI API, AI Agents, MCP (Model Context Protocol), TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, OpenCV

Tools & Platforms

Docker, AWS, Git, GitHub, React, Vite, Figma, MATLAB, R

Certifications

Oracle Certified Associate - Java SE 8 Programmer (Issued May 2024)

Specialties

Turning confusing ideas into demos, Explaining engineering to non-engineers, Building things just because they sound fun

Experience

IBM – Software Developer Intern

San Jose, CA | May 2026 – Present

Developed an AI agent to help engineers analyze benchmark data across MySQL and InfluxDB through conversational prompts.
Built a Python MCP server exposing 5+ read-only tools for data retrieval and analysis.
Implemented a FastAPI backend integrating a natural-language query assistant, database connectors, and MCP tooling for a standalone app.

Aramco Americas – Software Engineering Intern

Houston, TX | May 2025 – August 2025

Programmed two robots that collect oil well data to improve field safety and support more sustainable resource extraction by developing modular C++ firmware for 20+ hardware components.
Built Python-based UI/UX for both robots with BLE connectivity and multithreaded state workflows, leveraging NumPy/Pandas for data processing and Matplotlib dashboards for sensor visualization.
Enabled reliable MATLAB/Arduino data exchange via Modbus Comms with zero packet loss.

NanoAssembly Lab – Research Assistant

Austin, TX | December 2024 – December 2025

Systematized a 1D-CPNN machine learning framework for SAXS analysis, reducing error rates by ~73%.
Developed and trained a deep learning model on 24,000+ simulated SAXS profiles in Python, achieving an R² of 0.987 and improving prediction accuracy by ~79% over baseline methods.
Created a GUI and bundled executable with Python and tkinter, enabling researchers to run micelle structure predictions 10³–10⁶× faster without coding expertise or specialized hardware.

Society of Women Engineers (SWE) – Visualizing Math Web Application Developer

Austin, TX | August 2024 – May 2025

Developed a full-stack educational website on Algebra and Geometry with quizzes and interactive graphing tools using HTML, CSS, and JavaScript.
Integrated Firebase Firestore in production and MongoDB + AWS in development to track and retrieve user progress.
Live | GitHub

$Visualizing Math graphing tool$

Microsoft – Blacks at Microsoft Apprenticeship Program

Houston, TX | July 2023 – August 2023

Gained proficiency in Python and taught daily classes to 20+ apprentices, strengthening team programming skills.
Directed a 1st-place hackathon team to build smart glasses that record visual experiences to aid dementia patients.

Projects

Dayzy

SwiftUI, SQLite, Figma

Designed and built a multi-tab iOS app to log activities, visualize time usage, and generate summaries.
Implemented a SQLite-backed persistence layer with custom SQL queries for real-time stats and activity recommendations.
App Store | GitHub

Health IoT Dashboard

React, Vite, Node.js, Express, Prisma, PostgreSQL, WebSockets, Docker

Developed a full-stack healthcare IoT dashboard with a responsive frontend and robust backend for real-time patient telemetry.
Automated build, containerization, and deployment with Docker + Render, reducing setup time from 30 minutes to under 3 minutes.
GitHub

Object Detection with PyTorch & OpenCV

Python, PyTorch, OpenCV

Implemented a Faster R-CNN detection pipeline and visualized bounding boxes and confidence scores.
GitHub

SimuCare – NREMT Study Simulator

Python

Built an interactive EMT exam simulation with JSON-based intervention trees.

Dynamic Memory Allocator

C | February 2025

Implemented malloc/free using explicit free lists with coalescing and block splitting.
Ranked 14th of 500+ students on the course leaderboard for space utilization and throughput.

Pintos Operating System Extensions

C, Multithreading, Virtual Memory, File Systems | August 2025 – December 2025

Implemented priority-based thread scheduling with priority donation.
Added user program support with argument passing and system calls.
Built virtual memory with paging, lazy loading, and page fault handling.
Converted a single-threaded file system into a synchronized, indexed multi-threaded system.

Leadership & Activities

Student Engineers Educating Kids (SEEK) – VP Corporate

Austin, TX | January 2025 – Present

Lead weekly STEM mentoring sessions for 25+ elementary students and help guide 15+ mentors.
Secured $10,000+ in corporate sponsorship funding to support the organization by cultivating relationships with industry partners.

FIRST Robotics Team – Team Captain & Programming Lead

Tomball, TX | August 2020 – May 2024

Coded all robot functionality in Java for the 2023 and 2024 seasons and competed at the World Championships.