I’m an AI researcher and ML engineer with strong experience across vision, language, and multimodal systems.
My work sits at the intersection of theory, systems, and applied research, with a focus on reasoning, safety, and reliability of modern AI models.

• 🎓 Final-year Dual Degree student at IIT Kharagpur (Mechanical + CS Minor, AI Micro-specialization)
• 🔬 Research experience across Vision-Language Models, Agentic AI, and Explainable AI
• 🧪 Industry & academic internships spanning ML engineering, LLM systems, and applied research
• 📄 Actively involved in research publications and open research collaborations

📍 India
📧 [email protected]

• Vision–Language Models (VLMs)
  Reasoning, grounding, and multimodal alignment in large-scale models

• Agentic AI & LLM Reasoning
  Planning, tool-use, autonomy, and evaluation of agentic systems

• AI Safety & Robustness
  Multilingual safety, failure modes, interpretability, and responsible deployment

• Explainable AI (XAI)
  Understanding and improving deep models using attribution and CAM-based methods

• Applied ML Systems
  Bridging research ideas with production-scale ML and LLM pipelines

• Worked on LLM-based systems for reasoning, evaluation, and automation
• Built end-to-end ML pipelines spanning data, modeling, inference, and evaluation
• Hands-on research in computer vision, NLP, and multimodal learning
• Experience with large-scale datasets, retrieval systems, and model analysis
• Background in competitive programming and strong algorithmic thinking

• Reasoning and planning behaviors in VLMs and multimodal models
• Agentic workflows built on top of large language models
• Safety, evaluation, and robustness in multilingual LLMs
• Research ideas that bridge theory → systems → real-world impact