About

Profile

I'm a Senior AI Software Engineer. I strive to make impactful changes through innovative and result-oriented solutions.

I am an AI Software Engineer with dual master's degrees from Pace University in Data Science and the University of Bristol in Advanced Computing. Specializing in Machine Learning, Data Mining, and High-Performance Computing, I have more than five years of extensive experience in AI/ML infrastructure, MLOps, and cloud deployments. My expertise particularly focuses on leveraging Azure services and machine learning models within integrated pipelines to transform industries and enhance user experiences.

At Virtual Dental Care, I led a team that implemented cutting-edge AI technologies like real-time object detection and interactive chatbots, significantly enhancing diagnostic accuracy and patient engagement. This work not only improved clinical outcomes but also transformed patient interaction models, setting new benchmarks in the healthcare technology sector.

My technical prowess is supported by a deep proficiency across a broad spectrum of programming languages and tools:

• 🦾 Programming Languages: Python, C++, JavaScript, SQL, Java
• 🦾 Frameworks and Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NLTK
• 🦾 Technologies: Power BI, Docker, Kubernetes
• 🦾 Cloud Platforms: AWS, Azure, including Azure AI, Fabric, Azure ML Studio, ADF, Azure Service, APIs
• 🦾 Other Skills: Data Wrangling, Model Evaluation, Deep Learning, NLP, Computer Vision, Reinforcement Learning

Publications and Awards:

• Y. Liang, N. Singhal, and P. Benjamin, "High-Dimensional Spaces Motion Planning for Robotic Arm in Dynamic Environment." Recognized for innovative approaches in robotic navigation and control.
• N. Singhal, "Image Inpainting: Removing Things or Persons and Reproducing Background Textures Using Deep Learning." This work has been widely appreciated for its practical applications in digital image processing.
• N. Singhal, Srishti, Kalaichelvi, "Application of Convolutional Neural Network to Classify Sitting and Standing Postures." A pivotal study in human-computer interaction and ergonomics.
• Received the "Best Research Paper" award at the 2021 International Conference on Machine Learning and Data Mining and the 2020 Innovator Award from the Technology Association of America.

With a profound commitment to pushing the boundaries of AI technology, I continuously seek to tackle the most pressing challenges in AI, aiming to transform industries and improve quality of life through smart technology solutions. I thrive in environments that appreciate innovation and am keen to contribute to projects where my strategic vision can lead to remarkable advancements.

If you're ready to collaborate on groundbreaking AI projects, I invite you to reach out via email or connect with me on LinkedIn. Together, let's shape the future of technology!