SJ

Soniya J

Electronics and Communication Engineering student · AI/ML & Python Developer

Mysore, Karnataka, India

@soniya_j

0 followers

🎓 Bachelor of Engineering (B.E.) in Electronics and Communication Engineering at Maharaja institute of technology mysore · Graduating 2027

About

Electronics and Communication Engineering student graduating in 2027 with hands-on experience building AI-powered applications and an industrial IoT prototype. Experienced in Python, LLM workflows, RAG, APIs, backend integration, computer vision, and hardware-software systems.

Experience

  • Industrial IoT Intern
    Mindsetcraft Labs Pvt. Ltd. · Mysore, Karnataka
    Jan 2024 – Apr 2024

    Gained hands-on experience with Industrial IoT concepts, sensor interfacing, microcontrollers, and hardware-software integration. Developed an IoT-based Sign-to-Voice Conversion system using an ESP32 and four flex sensors embedded in a wearable glove to detect predefined hand gestures. Integrated a 16x2 LCD, GSM module, APR33A3 voice module, and speaker for gesture feedback and voice output; worked on real-time sensor acquisition, module interfacing, testing, and debugging.

Education

  • Bachelor of Engineering (B.E.) in Electronics and Communication Engineering
    Maharaja Institute of Technology Mysore
    Electronics and Communication Engineering (ECE) · 2024 – 2027

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub Firebase Supabase PostgreSQL Google Colab

Projects

  • Generative AI & Computer Vision Experiments
    Python, GANs, VAEs, OpenCV, NumPy, SciPy, Scikit-learn, Matplotlib

    Built and evaluated basic GAN and VAE experiments for generative image synthesis and latent-space analysis using Python. Implemented OpenCV image-processing workflows and FFT-based frequency-domain analysis for noise removal and visual comparison.

  • RaghBodha - Authenticated Web Application
    Supabase, PostgreSQL, REST APIs, Vercel, Render

    Developed and deployed a responsive web application with authenticated user workflows using Supabase. Implemented RESTful API workflows connected to PostgreSQL for structured data storage, retrieval, and application functionality.

  • InterviewVerse AI - AI-Powered Resume-to-VR Interview Platform
    Python, NLP, LLM APIs, RAG, React.js, Node.js/Express.js, Supabase, PostgreSQL, Unity/XR Toolkit, WebXR

    Developed an end-to-end interview preparation platform that transforms candidate resume information into personalized interview experiences. Implemented resume parsing and skill-extraction workflows to analyze candidate profiles and support role matching and personalized career guidance. Integrated LLM pipelines for AI-generated questions, multi-round interview flows, evaluation features, and authenticated API/database workflows.

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