Meet Our Neural Network Experts
A dedicated team of researchers, engineers, and educators passionate about making artificial intelligence accessible and practical for Indian businesses
Dr. Arjun Mehta
With over twelve years in machine learning research, Arjun leads our technical vision at Straves. He completed his PhD in Computer Science from IIT Delhi in 2015, focusing on deep learning architectures for natural language processing.
Before founding Straves, he worked with Microsoft Research India and published fifteen papers on neural network optimization. His work on transformer models for Indian languages earned recognition at NeurIPS 2023.
Arjun believes that complex AI shouldn't require a computer science degree to understand. He spends his time translating cutting-edge research into practical tools that small businesses can actually use.
Our Core Expertise Areas
Each team member brings deep specialization in different aspects of neural networks, from theoretical research to real-world implementation
Computer Vision
Our vision team develops custom image recognition systems for manufacturing quality control, medical imaging analysis, and retail automation. We've helped over forty Indian companies implement visual inspection systems.
Language Processing
Specializing in multilingual NLP models that work with Hindi, Tamil, Bengali, and other Indian languages. Our chatbots and document processing systems handle regional language nuances effectively.
Predictive Analytics
We build forecasting models for inventory management, customer behavior analysis, and financial planning. Our systems help businesses make data-driven decisions with confidence.
Why Our Team Works
We're not just building neural networks - we're creating solutions that make sense for Indian businesses. Our team combines academic rigor with practical experience.
Every team member has worked directly with clients, understanding the gap between theoretical possibilities and real-world constraints. This hands-on experience shapes everything we teach.
- Research backed by practical implementation experience
- Deep understanding of Indian market challenges
- Commitment to making AI accessible, not intimidating
- Focus on sustainable, scalable solutions
- Continuous learning from both successes and failures
