Detect Technologies is a leading AI-driven platform ensuring workplace safety with products like:

• Safety Assistant: Ensures HSE compliance by identifying, reporting, and logging safety incidents.
• Redzone Assistant: Monitors unsafe acts in high-risk areas, both static and dynamic.
• Environment Assistant: Detects hazardous gas leaks and abnormal conditions, mitigating risks.
• Confined Space Assistant: Monitors confined spaces, ensuring safety and operational integrity.

• Led a team of 4 engineers in designing and deploying an advanced video analytics pipeline, reducing security incidents by 30%.
• Integrated detection and segmentation models with VLM, enhancing monitoring accuracy and reducing latency by 15%.
• Implemented image upscaling with ESR GAN, increasing labeling data accuracy by 15%.
• Designed and developed face recognition and occupancy counting for confined spaces using AWS Rekognition and DeepStream.
• Automated deployment processes with SaltStack, streamlining workflows and reducing errors in updates.
• Optimized bug-related tickets by 20% through automated testing and regular code reviews.

• Implemented a source-switching mechanism with GStreamer, reducing pipeline downtime by 75%.
• Developed a DeepStream plugin for image pre-processing, reducing misdetections by 20%.
• Designed a system for uploading activity-based video clips to S3 buckets, reducing incident reporting latency by 15%.
• Built rapid computer vision prototypes for industrial safety, addressing diverse client needs.