Anuj Khandelwal

Designed architecture for authoring and contract drafting platforms, implementing software design principles for various internal products. Developed a RAG-based document QA pipeline and explored LLM agents for document drafting automation.

Developed algorithms for document forensics, image translation, and defect detection in manufacturing. Created robust algorithms for detecting defects and person presence using advanced computer vision techniques.

Led algorithm development for computer vision applications, focusing on model optimization and operationalizing software engineering best practices. Developed CI/CD pipelines and benchmarked deep learning models.

Created automated workflows for managing data from CCTV cameras across manufacturing units. Developed training pipelines for object detection models and worked with cloud infrastructure for deep learning.

Developed computer vision algorithms for quality monitoring and worker safety in manufacturing. Implemented models for person detection and PPE detection using advanced deep learning techniques.

Worked on productizing computer vision applications, including real-time car analytics and intrusion detection models. Managed a team of data scientists and explored geospatial data science.

Built scalable applications for machine learning and computer vision use cases, focusing on predictive analytics and video processing.

Researched vision-based perception for autonomous driving, focusing on lane detection and tracking using deep learning techniques.

Developed computer vision applications for IoT solutions, including on-shelf availability detection and face recognition.

Developed a backend infrastructure for an event hosting website and implemented security checks for web vulnerabilities.

Worked on machine learning for structural health monitoring systems, focusing on feature extraction and classification.