A. PREM

Aspiring AI/ML Engineer

Bengaluru, Karnataka, India

@prem_ashok

0 followers

About

Recent graduate in Artificial Intelligence & Machine Learning with hands-on experience building and deploying deep learning and NLP systems in Python, TensorFlow, and Flask. Seeking an entry-level AI/ML or software engineering role with practical software engineering and cloud/database experience.

Experience

Android App Development Intern (Generative AI)

Mindmatrix

Feb 2026 – May 2026

Built a real-time Karnataka Folk Artist booking app using Kotlin and Jetpack Compose with Firebase Authentication and Firestore. Implemented Generative AI-based features, owned UI/UX design, debugging, and testing, collaborated on sprint planning and code reviews, and integrated real-time database updates.

Education

B.E.

Dayananda Sagar Academy of Technology and Management

Artificial Intelligence & Machine Learning · Jun 2026
12th Grade

Narayana PU College

Apr 2022
10th Grade

Narayana EnTechno School

May 2020

Skills

3 to 6 months

Android development

<3 months

SQL Flask Python FastAPI TensorFlow Explainable AI Natural Language Processing API Integration Understanding Convolutional Neural Networks

Tools / apps / platforms

3 to 6 months

Firestore

<3 months

Git MongoDB Google Android Microsoft Excel

Languages

Native / Bilingual

Telugu Speak

Fluent

Hindi Speak English Speak Kannada Speak

Projects

Real-Time Cyberbullying Detection with Explainable AI

NLP / Multi-modal ML

Developed an AI-powered content moderation system detecting cyberbullying, offensive content, and deepfake videos using NLP, CNNs, and Explainable AI. Built REST APIs with FastAPI and integrated MongoDB for multi-modal detection across text, image, and video.
Pneumonia Detection from Chest X-Rays

Deep Learning / Computer Vision

Built a CNN-based deep learning model in TensorFlow that classifies chest X-rays for pneumonia at 91% accuracy. Applied image preprocessing and data augmentation, deployed the model as a Flask web app with real-time upload and validation, and returned confidence scores alongside classifications.
Real-Time Cyberbullying Detection with Explainable AI

NLP / Multi-modal ML

Developed an AI-powered content moderation system detecting cyberbullying, offensive content, and deepfake videos using NLP, CNNs, and Explainable AI. Built REST APIs with FastAPI and integrated MongoDB for multi-modal detection across text, image, and video.
Pneumonia Detection from Chest X-Rays

Deep Learning / Computer Vision

Built a CNN-based deep learning model in TensorFlow that classifies chest X-rays for pneumonia at 91% accuracy. Applied image preprocessing and data augmentation, deployed the model as a Flask web app with real-time upload and validation, and returned confidence scores alongside classifications.

Courses & certifications

Python Foundation · Infosys Springboard
Basics of Python · Infosys Springboard
Python Foundation · Infosys Springboard
Basics of Python · Infosys Springboard

🤝 Volunteering

Way For Life NGO · Volunteer · 2024

Participated in tree plantation drives and conducted plastic-awareness sessions for 100+ students.

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