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By Uni-Creator, For the Future of Tech.

Engineering the Future of AI and Technology.

About Me.

I’m Abhay Singh, an AI/ML Engineer with a strong foundation in mathematics and cybersecurity. Passionate about deep learning, computer vision, and NLP, I’ve worked on projects ranging from real-time sign language recognition to AI-powered SaaS applications. With experience in cybersecurity and software development, I aim to build intelligent and impactful solutions.

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Let’s connect and innovate together!

Education

2023-Current

BTech in Mathematics and Computing
Central University of Karnatka

2022-2023

Intermediate 
Uttrakhand Public School (CBSE)

  • Relevant Coursework: Computer Architecture, Machine Learning, Artificial Intelligence, Data Structures, Cybersecurity, Software Development.

  • CGPA: 8.0 (Overall)

  • Qualification: 12th Grade (Science)

  • Percentage: 94%

Skills

Game Designer

Machine Learning & AI

  • Machine Learning (ML): Designing and implementing predictive models.

  • Deep Learning: Working with neural networks for complex data processing.

  • Convolutional Neural Networks (CNN): Specializing in image recognition tasks.

  • Natural Language Processing (NLP): Developing AI systems for text and speech processing.

  • Generative AI: Creating models for AI-driven content generation.

Explore   My Projects

Discover My Work: Where AI Meets Innovation.

ASL
Sign Language Communication
Image by Nic Rosenau

Real-Time Sign Language Recognition

Deep learning

  • Problem: Communication gap for deaf/mute individuals.

  • Solution: LSTM model trained on ASL gestures with 80%+ accuracy.

  • Tech Used: PyTorch, OpenCV, Mediapipe.

  • Impact: 30% faster recognition, 15% fewer false positives.

  • GitHub
Sign Language on Video Call
NanoGPT
Typing on a computer
Image by Everyday basics

NanoGPT – Character-Level Transformer

LLM/ NLP

  • Problem: Large language models require heavy resources.

  • Solution: Built a lightweight Transformer model that generates stylistically accurate Shakespearean text.

  • Tech Used: PyTorch, Hugging Face, CUDA.

  • Impact: 40% faster training, 50% less memory usage.

Image by Mohamed Nohassi
  • GitHub
Human Anatomy Model
Image by Sara Bakhshi

Lung Cancer Classification

CNNs

  • Problem: Early stage lung cancer detection.

  • Solution: CNN trained on 25,000+ CT scans, 92% accuracy.

  • Tech Used: ResNet50, Python, Scikit-learn, TensorFlow, Pillow

  • Impact: 10% error reduction, 20% faster inference.

Image by National Cancer Institute
  • GitHub

Get in Touch

Let's Collaborate!

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