Dev Mehta

Background

About Dev Mehta

As an AI and NLP Engineer with extensive experience in machine learning, natural language processing, and data science, I’m dedicated to creating impactful, real-world solutions. At Toyota North America, I implemented machine learning models to predict weld spatter and strength with 97% accuracy, saving $2M annually in cleaning costs. Additionally, I enhanced safety by automating weld strength checks, replacing limited manual inspections. At Huro AI, I lad a team of five, overseeing data workflows and driving projects that enhance large language models like OpenAI’s Whisper and Seamless. Our work has reduced WER by 25% for transcription and translation, and cut processing time for multilingual audio translation from 3 seconds to 0.3 seconds. Previously, as a Data Scientist with StreetMetrics, I developed an automated data collection pipeline that increased operational efficiency by 40%. I also created various dashboards to analyze audience demographic distribution while conducting rigorous ground truth studies that boosting client confidence by 85%. Some of my most impactful projects include: Graph Neural Network Enhancement: Improved link prediction by 20% using adaptive knowledge distillation and weight augmentation. Automated Drive-Thru System: Developed a voice-activated ordering system using ChatGPT API, streamlining orders from speech to printed receipts. Divvy Bike Station Optimization: Leveraged clustering and forecasting to optimize resource allocation, enhancing station efficiency by 40%. My technical expertise spans Python (TensorFlow, PyTorch, scikit-learn), C++, JavaScript, and cloud platforms (AWS, GCP). I am experienced with a range of tools like Docker, Apache Spark, and Kafka, as well as libraries for NLP, data visualization, and model deployment. Outside of work, I love traveling and have visited 19 countries. I also enjoy gaming and am currently learning guitar. Feel free to reach out at mehtadev01@gmail.com or connect with me here on LinkedIn to discuss AI, machine learning, or collaborative opportunities in data science. Skills: Python, TensorFlow, PyTorch, NLP, Computer Vision, Neural Networks, Data Visualization, SQL, Flask, Streamlit, GCP, AWS, Docker