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Subhransu Majhi

Head of AI-powered Engineering Solutions

Subhransu serves as the esteemed leader of AI enterprise software development initiatives at CCTech, where he steers the course of cutting-edge projects. With a distinguished academic background as a mechanical engineer, Subhransu brings a wealth of technical prowess and insight to his role. He boasts an impressive track record, having expertly crafted software solutions spanning an array of intricate domains, including but not limited to Computational Fluid Dynamics (CFD), Computational Geometry, Genetic Algorithms, Artificial Intelligence (AI), and Virtual/Augmented Reality (VR/AR). His multifaceted experience underscores his proficiency in navigating the intricacies of diverse technological landscapes, making him a pivotal asset in driving innovation and excellence within the realm of AI-powered software development.

Offerings
Multi-Objective Optimization (Generative design)

Optimize pipeline routing (manufacturing/building/Industrial) for multiple/conflicting objectives using the evolutionary algorithm commonly known as generative design in our industry.

AI and AR assisted assembly lines (Smart factory)
Assitance of assembly line workers with real-time guidance using AR headgears, digital screens, projectors, laser sensors, etc. Human responses are captured using cameras and other sensors to process and update the guidance system in real-time.
Timeseries forecasting
Analyzing engineering operations from previous years and predicting optimized operations for maximizing output in future.
Autonomous web scraping
No-code web scraping application from any new source. Without any human intervention, scrapers continue to scrape newer data automatically. NLP is used to embed the domain-specific knowledge into the application.
Intelligent PDF extraction
No-code PDF extraction application. Detection of keys and values, tables, and sentences. In an easy-to-use UI, processing settings can be selected to support PDFs of different structures.
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