Greater Dresden Area
The Evolution of Semiconductor Materials (especially with focus on SiC/GaN and Photonics) has become a Strategic topic for top economies of the World. Rahul is a passionate technocrat and the founder of multiple companies focusing on the growing demand of Semiconductors and Quantum evolution. Taking his first startups from 0 to 2 mn EUR recurring revenue has given him huge opportunities/learning into building Smart Manufacturing solutions for Automotive Electronics & Semiconductors industry, Super Fast Supply Chains, and Use of AI in Manufacturing for Automotive Applications. Offering is to make data-driven Engineering decisions in increasing the yield, reducing DEFECTS/ENERGY, optimizing manufacturing processes and Supply Chain to increase profitability and sustainability. Accorded with MIT GSW and Web Summit Dublin awards for innovation and product launches, he continues ideating new products and solutions in the space of Smart & Efficient Manufacturing. He is very fascinated towards creating value and simplifying complex manufacturing supply chain processes via AI. Understanding new cultures by learning new languages is an interesting area for him, professionally executed projects in Japanese and German languages apart from Hindi and English. His hobbies are Trekking, playing Volleyball and TT, Reading, and Debating. He likes to participate in Triathlon and Marathons.
Offering: Next-Gen Process Engineering using Hybrid AI (AI fused with Device Physics & Chemistry). Tvarit GmbH in Numbers: 40+ Deeptech Engineers, 3 AI Product Launches, 70+ Plants Served, 1.7mn+ EUR Recurring Revenue, 4 VCs, 3 Countries, 14mn+ EUR Saved for Customers. Current Mission: Industrial AI for Manufacturers and their hi-tech suppliers. Our Industrial AI Platform has been deployed in 70+ plants so for: - It has pre-trained AI models for hi-tech manufacturing processes. - Key use cases are Yield Improvement, Chamber Matching, Profile Prediction, Optimize Supply Chain, Predictive Inventory and Tool Tracking. Our Industrial AI Platform's Uniquenesses: - AI model training time is very minimal. Pre-trained for machinery, given that there are meachines health detection sensors installed which are usually the variants of max five basic sensors which define any given process. Further, use of transfer learning to scale from one to tens of similar machines/plants.
- Impacting 6000+ industrial assets using Industrial AI technology - Built AI tools for Electronics boxes to be part of our client's heavy machinery such as crane machinery and forklifts' control systems - Created NLP based language models to automate the ticket response system for quicker response to client's business problems
- Research on dynamic advanced process control for deposition processes - Predictive Model building for various hi-tech robots
* Network Devices Insights - Designed network equipments and their development and testing for Tokyo, Shanghai, Singapore, Amsterdam, Frankfurt POPs - Resolved hardware issues and chip testing results utilizing Wireshark, SNMP, Syslog - Developed software layer for customers; app dev in Python, Ruby, Docker
--> Represented India in simulated Mars Mission where 24 multidisciplinary experts from 3 countries participated *Mars Rover Expedition - Engineered the embedded system for a rover for rough terrain & robotic arm for soil collection - From right chip selection to simulating various test cases for our application - Platforms: C/C++, Python for rover's arm, and Python/Bash for base station - Built sensor network deploying Ultrasonic, GPS, IMU - Received coverage in leading newspapers like Australian Herald, Times of India