Aaron Thomas

Aaron Thomas

Full-Stack Developer | AI/RAG Systems Engineer

Thrissur, Keralaaaron123thomas098@gmail.com
GitHubLinkedInarxhr007.tech

Profile

Computer Science undergraduate building production-ready full-stack platforms, scalable backends, and AI systems. Experienced in RAG pipelines, CMS/LMS platforms, cloud deployment, automation, and developer-focused open-source tools.

Technical Skills

Languages

PythonTypeScript/JavaScriptRustJavaCC++

Backend

Node.jsREST APIsPostgreSQLMongoDBRedisFirebaseSupabase

Frontend

ReactNext.jsReact NativeTailwind CSS

Cloud/DevOps

AWSGCPDockerKubernetesCI/CD

AI/ML

PyTorchTensorFlowLangChainLangGraphLlamaIndex

Experience

Software Engineering Intern • Stride, K-DISC

03/2026 - 05/2026 | Thiruvananthapuram, KL
  • Developed enterprise CMS and LMS platforms for the Government of Kerala using Next.js, Node.js, and AWS.
  • Built scalable backend services, REST APIs, and cloud-integrated workflows for reliable content delivery.

Backend & Automation Developer • Sahrdaya College of Engineering & Technology (Autonomous)

08/2025 - 02/2026 | Kodakara, Kerala
  • Architected backend systems for the official college website and CMS using Firebase, Node.js, and REST APIs.
  • Built workflow automation and system orchestration to streamline CMS operations and reduce repetitive manual processes.

Web Development Intern • Pexcel Solutions

12/2024 - 06/2025 | New Zealand (Remote)
  • Developed responsive frontend interfaces using React.js and Tailwind CSS, improving performance scores for international client projects.
  • Integrated SEO best practices that increased organic search visibility for project deployments.

Projects

Aliens Eye ↗

AI-Powered Public Data Analysis Platform

  • Built an AI-powered platform for large-scale public data analysis, with parallel processing pipelines and automated information extraction over high-volume web data.
  • Achieved 3000+ GitHub stars, demonstrating strong community adoption and developer interest.
PythonBash

NeuroLearn ↗

Adaptive AI Tutor

  • Built an adaptive tutor for neurodivergent learners using LangGraph, personalized learning flows, and RAG.
  • Presented at an OpenAI Community Meetup, showcasing adaptive learning and AI-driven remediation workflows.
LangGraphRAGFastAPI

Amma ↗

Malayalam Programming Language

  • Designed a custom interpreter in Rust — lexer, parser, and evaluator — supporting variables, control flow, recursive functions, lists, strings, and file I/O.
  • Built a transliteration layer so code runs in Malayalam script or romanized English, and shipped prebuilt Windows and Linux binaries with a full language reference and sample programs.
Rust

AYRA

TinyML-Based Autonomic Dysreflexia Early Warning System

  • Developed a below-knee wearable for real-time autonomic dysreflexia early warning, fusing GSR, PPG/HRV, ECG, skin temperature, humidity, and motion signals from a single placement.
  • Implemented an int8 quantized TinyML neural network on an ESP32 for on-device inference with sub-50 ms latency and real-time alerts via OLED, buzzer, and MQTT.
TinyMLESP32TensorFlow LiteMQTT

Writing

All posts →

Android Malware Analysis: A Sophisticated SMS Stealer

Jul 14, 2025 · 7 min read

Reverse engineering a fake Parivahan APK spread over WhatsApp that exfiltrates victims' SMS messages.

Hacking Printers: Intercepting Print Jobs with Rust Malware

Jun 2, 2025 · 10 min read

How Windows printing works, where raw print data lives, and a Rust PoC that captures .SPL spool files.

Leadership

  • Coders Club Lead, IEDC Sahrdaya: Organized developer workshops, project sessions, and innovation activities.
  • Technical Team, IEEE Sahrdaya: Built event websites, attendance systems, and event management applications.
  • Mentor, TinkerHub: Guided peers on project architecture, development workflows, and implementation strategy.

Education

B.Tech in Computer Science and Engineering

Sahrdaya College of Engineering & Technology (Autonomous)

APJ Abdul Kalam Technological University (KTU)

2023 - 2027 | Kodakara, KL

Achievements

  • 4x CTF Winner — First-place finishes across four Capture The Flag security competitions.
  • MYOSA International Hackathon Finalist — Selected as a finalist for developing AYRA, a real-time autonomic dysreflexia early-warning wearable using TinyML.
  • IEEE BioSensors 2026 — Selected to present AYRA at the IEEE BioSensors 2026 international conference in Bangkok, Thailand.

Get In Touch

I'm open to work on exciting projects. Feel free to reach out!

Email me at aaron123thomas098@gmail.com