IIT Jodhpur
Exploring the frontiers of Artificial Intelligence through rigorous research, innovation, and a passion for pushing the boundaries of machine learning. Aspiring PhD candidate dedicated to advancing AI for real-world impact.
A passionate AI researcher combining rigorous academic training with hands-on experience in machine learning, deep learning, and emerging AI technologies.
MTech in Artificial Intelligence from IIT Jodhpur, one of India's premier institutes
Pursuing PhD opportunities to contribute to cutting-edge AI research
Passionate about solving real-world problems through AI and machine learning
My journey into Artificial Intelligence began with a fascination for how machines can learn, reason, and make decisions. At IIT Jodhpur, I've had the privilege of diving deep into the mathematical foundations, algorithmic innovations, and practical applications that define modern AI.
Through my MTech program, I've explored diverse areas including deep learning, natural language processing, computer vision, reinforcement learning, and AI ethics. Each course, project, and research paper has strengthened my conviction that AI can be a powerful force for positive change in society.
My technical background spans cloud computing, DevOps, and system architecture, giving me a unique perspective on deploying AI solutions at scale. I'm particularly interested in the intersection of AI research and practical engineering, where innovative algorithms meet real-world constraints.
Focusing on cutting-edge AI domains where innovation meets impact, with a commitment to advancing both theoretical understanding and practical applications.
Neural architecture design, optimization techniques, and training methodologies for complex AI systems
Large language models, transformers, multilingual NLP, and conversational AI systems
Object detection, image segmentation, visual recognition, and multimodal learning
Policy optimization, multi-agent systems, and decision-making under uncertainty
Scalable ML infrastructure, model deployment, monitoring, and production AI systems
Responsible AI, fairness in ML, interpretability, and ethical implications of AI systems
My PhD aspirations are driven by a desire to contribute meaningfully to the AI research community. I'm particularly interested in exploring problems at the intersection of multiple domains, where innovative solutions can have far-reaching impact.
I envision research that not only advances the state-of-the-art but also addresses practical challenges in deploying AI systems responsibly. This includes work on model efficiency, interpretability, fairness, and robustness—ensuring AI technologies can be trusted and deployed at scale.
Through collaboration with leading researchers and institutions, I aim to push the boundaries of what's possible in AI while maintaining a strong ethical foundation and commitment to societal benefit.
A comprehensive journey through AI, from foundational theory to cutting-edge research and real-world implementation at IIT Jodhpur.
A comprehensive toolkit spanning AI research, software engineering, and production-grade system development.
Research contributions and academic projects completed during my MTech journey at IIT Jodhpur.
Comprehensive study on novel optimization techniques for training deep neural networks efficiently.
Analysis of MLOps practices and deployment strategies for large-scale AI systems.
Implementation and evaluation of transformer architectures for multilingual NLP tasks.
My research focuses on developing efficient, scalable, and responsible AI systems. I'm particularly interested in bridging the gap between theoretical advances and practical deployment challenges.
Looking forward to pursuing a PhD where I can contribute to cutting-edge research while addressing real-world problems through innovative AI solutions.
Interested in collaboration, research opportunities, or just want to discuss AI? I'd love to hear from you!
Currently seeking PhD positions in Artificial Intelligence and Machine Learning. I'm particularly interested in programs that emphasize both theoretical research and practical impact.