VernaVox
Developed a comprehensive Balochi speech recognition system achieving 99.39% accuracy using advanced transformer architectures including SpeechT5 and Whisper.
Atyab K. is an AI Engineer with over six years of experience in machine learning, deep learning, and large-scale financial data processing. Atyab utilizes Python, TensorFlow, Keras, and PyTorch to build production-grade machine learning systems such as CNNs and transformer-based models. He is skilled in developing data pipelines and ensuring real-time data accuracy, employing tools like SQL, MySQL, and Lavastorm Analytics. His work includes explainable AI solutions using Grad-CAM and LIME, with a focus on performance and regulatory compliance. One of Atyab's notable projects is VernaVox, a Balochi speech recognition system achieving 99.39% accuracy using SpeechT5 and Whisper architectures. He also developed YourMunshi, Pakistan's first AI-powered legal assistant, and conducted research achieving 99.87% accuracy in infrastructure crack detection using EfficientNet. Atyab holds a Bachelor's degree in Artificial Intelligence from the National University of Modern Languages. He is best suited for roles involving AI system development and data analysis, particularly those requiring innovative problem-solving and cross-functional collaboration.
Developed a comprehensive Balochi speech recognition system achieving 99.39% accuracy using advanced transformer architectures including SpeechT5 and Whisper.
Architected and deployed Pakistan's first AI-powered legal assistant from concept through production.
Conducted advanced computer vision research achieving 99.87% accuracy in crack detection using EfficientNet architecture enhanced with explainable AI techniques.
Other vetted developers with similar skills and experience

AI Engineer
3-4 years experience
14 days risk-free trial · No commitments · We handle contracts and payroll