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Open to New Opportunities

Hi, I'm Ronil Rathod

Software Engineer from Brisbane, Australia

Passionate about AI/ML and full-stack development, with hands-on experience shipping real products and research tools. Built an AI desktop companion, an AWS-based video streaming platform and accelerated CRISPR scoring with CUDA. Experienced with |

Ronil Rathod

Experience

AI/Software Developer

Aichi Project | March 2025 – Present

Designed and developed a pixel art AI desktop companion for Windows and macOS that interacts with users through contextual speech, combining real-time screen capture, speech recognition, and natural language processing. Implemented persistent chat memory and dynamic interaction triggers, enabling personalised responses and long-term user engagement; currently being tested by early paid users.

Research Project Contributor

University Research Project (CRISPR-Cas9) | Mar 2025 - Present

Working under two professors on improving the Crackling bioinformatics pipeline for designing effective guide RNAs. Exploring high-performance computing, cloud deployment, and web-based visualization tools to enhance efficiency. Contributing to an open-source project while gaining experience in bioinformatics and computational biology.

Software Engineering Intern

GPA Engineering | Nov 2025 – Feb 2026

Built a real-time security monitoring system using .NET 10 and Blazor Server, streaming Microsoft Entra ID sign-in events via SignalR for live operational visibility. Implemented automated zero-trust response workflows by enriching IP metadata (VPN, proxy, Tor), challenging users via SMS (Twilio), and revoking Azure AD session tokens through Microsoft Graph API.

Some Things I've Built

Explorer
projectsparallelised-application.md
1# Parallelised Application
2 
3---
4 
5## Overview
6 
7Optimised the Consensus Promoter Prediction software by parallelising its execution using Java, reducing runtime from 102s to 8.6s (speedup of 12x). Used ExecutorService for thread management, ThreadLocal storage to reduce contention, and ConcurrentHashMap for efficient shared data handling.
8 
9## Tech Stack
10 
11- Java
12- ExecutorService
13- ThreadLocal
14- ConcurrentHashMap
15 
16## Links
17 
Terminal
$ npm list --depth=0
parallelised-application@1.0.0
├── java@latest
├── executorservice@latest
├── threadlocal@latest
└── concurrenthashmap@latest

Some university projects cannot be disclosed.Contact mefor more details.

About Me

I build software that ships from GPU-accelerated bioinformatics pipelines to full-stack AI applications. Recent work includes accelerating CRISPR off-target scoring with CUDA, shipping an AI desktop companion, and architecting a video streaming platform on AWS.

I care about performance, clean abstractions, and systems that scale.

Skills

skills.ts
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import { PythonJavaTypeScriptJavaScriptCC# } from "languages";
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import { React.NETNode.js } from "frameworks";
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import { AWSCUDA } from "cloud";
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import { SQLMongoDB } from "databases";
5|

Contact Me

I’m always open to new opportunities and collaborations! Whether you have a question, an idea, or just want to say hi, feel free to reach out. Looking forward to connecting and working together! 🚀