Experience & Leadership

Postgraduate research focused on real-time industrial computer vision and multi-modal intelligence systems.

• Edge-deployed YOLO pipelines for industrial anomaly & safety detection (Bar & Rod Mill use case)
• Multi-modal LLM/RAG systems that summarise sensor, vision and log data into plant alerts
• Applied research on adaptive Kalman-filter tracking, extending earlier published work

Progressed from Project Engineer to Senior Software Engineer across electronics, robotics and mechatronics initiatives.

• Designed and developed software applications with cross-functional teams under agile delivery
• Applied machine learning, deep learning and robotics to build intelligent systems and algorithms
• Owned project schedules, work plans and performance tracking for hardware-adjacent initiatives
• Conducted testing & debugging for reliability, performance and security; contributed to academic and industrial research/patents

• Researched & developed AI/ML models to analyse medical imaging and patient records for leukemia diagnosis support
• Designed experiments with researchers and medical professionals; evaluated and communicated results
• Maintained open-source tools and models for the association's research codebase
• Contributed to public outreach and education on AI in healthcare

• Implemented image-processing algorithms (enhancement, segmentation, feature extraction) for client projects
• Built and evaluated machine-learning models using MATLAB toolboxes
• Interfaced MATLAB with Arduino & Raspberry Pi for embedded/IoT projects, including Simulink for embedded systems
• Delivered training, workshops and webinars on MATLAB best practices
• 2 years as Research Assistant — mentored students on MATLAB/Simulink, embedded systems, project development, and technical career preparation across India and abroad

OS installation and industrial IT network setup on Windows/Linux servers; collaborated with industrial-automation and IT teams on data communication & gateway systems.