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rahul shRS
Open to opportunities

rahul sh

@rahulsh

Software Developer focused on Python, SQL, secure IoT and AI-powered app prototyping.

India
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What I'm looking for

I’m looking for an early-career role where I can build secure, AI-enabled software—prototyping Android features, deploying ML with reliable inference, and working on databases/APIs with strong team collaboration.

I’m a Software Developer proficient in Python, SQL, HTML, CSS, and JavaScript, focused on building secure, efficient, and maintainable software. I work confidently across object-oriented programming, database design, CRUD operations, and RESTful API integration, with an emphasis on responsive UI development.

My standout project is IoT-Guard, where I implemented secure IoT communication with ESP8266, ESP-NOW, and AES-128 encryption. It reduced unauthorized access by 40% and improved data reliability by 30%, and I developed a lightweight, energy-efficient firewall for offline operation.

In my current role as a Remote Software Engineer Intern – Android & Generative AI at MindMatrix, I designed and prototyped Android app workflows using Google AI Studio and generative AI tools. I accelerated prototype creation by 30% through efficient prompt design and validated feature feasibility and user interaction flows, improving functional concept clarity by 25% before handoff.

Previously, as a NullClass Remote Machine Learning Intern, I developed and deployed Python ML models using OpenCV and Flask, delivering six end-to-end projects with GUI and web integration. Through preprocessing, feature extraction, and model optimization, I reduced training and deployment time by 20% and improved real-time inference consistency—backed by ongoing B.E. work in Computer Science and Engineering (GPA: 8.11/10.00).

Experience

Work history, roles, and key accomplishments

MI
Current

Android & GenAI Intern

MindMatrix

Feb 2026 - Present (4 months)

Designed and prototyped Android app workflows using Google AI Studio and generative AI tools, accelerating prototype creation by 30% through prompt design and iterative concept testing. Validated feature feasibility and user interaction flows, improving functional concept clarity by 25% before development handoff.

NU

Machine Learning Intern

NullClass

Jul 2025 - Sep 2025 (2 months)

Developed and deployed Python machine learning models using OpenCV and Flask, delivering six end-to-end projects with GUI and web integration to improve usability. Implemented data preprocessing, feature extraction, and model optimization, reducing training and deployment time by 20% while improving real-time inference consistency and reliability.

Education

Degrees, certifications, and relevant coursework

ST

SJC Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2022 - 2026

Grade: GPA: 8.11 / 10.00

Activities and societies: Volunteered as Volunteering Coordinator for Smart India Hackathon (SIH) and managed technical event setup/logistics for SJCIT Kannada Rajyothsava.

Bachelor of Engineering in Computer Science and Engineering. Earned a GPA of 8.11/10.00.

Tech stack

Software and tools used professionally

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