I am a Solutions Engineer at we45, where I work on AI-native application security, threat modeling, and secure AI-assisted development. I help build systems that turn architecture documents, code, diagrams, and repository context into security reviews that engineering teams can actually use.
I studied Chemical Engineering at the National Institute of Technology Karnataka, Surathkal, with a minor in Management. My research work spans long-context LLM evaluation, knowledge-graph question answering, legal NLP, and low-resource NLP, including research with the Georgia Tech Financial Services Innovation Lab and internship work at IIT Kharagpur.
I also train security practitioners on building real-world AI agents for application security, with upcoming trainings at Black Hat USA, CODE BLUE Japan, and Black Hat Europe.
B.Tech. in Chemical Engineering with a minor in Management.
Worked on low-resource NLP for Sanskrit scriptures, including extractive question answering, Haystack pipelines, and transformer fine-tuning.
Developing KG-MuLQA, a knowledge-graph framework for multi-level QA extraction from long financial credit agreements.
Building SecurityReview.ai, VibeReview, and AI-native security assessment workflows.
Nikita Tatarinov, Vidhyakshaya Kannan*, Haricharana Srinivasa*, Arnav Raj, Harpreet Singh Anand, Varun Singh, Aditya Luthra, Ravij Lade, Agam Shah, Sudheer Chava
arXiv:2505.12495 [cs.CL], 2025.