Scaling Intelligence.
Ensuring Reliability.
I build robust, enterprise-scale AI systems and evaluation frameworks. My focus lies at the intersection of production machine learning infrastructure and rigorous linguistic computation.
Background
Growing up between Kannauj and Varanasi, I was fortunate to be surrounded by Vedic scholars who treated language not just as a tool for communication, but as an exact science. Early exposure to foundational texts like the Vākyapadīya and Pāṇini’s Aṣṭādhyāyī—the world’s first formal generative grammar—sparked my lifelong fascination with the architecture of language, computation, compression, and structural logic.
I followed this curiosity through my studies in Natural Language Processing at BHU, eventually pursuing a PhD in AI/ML at IIT (BHU). Over the last decade, my work has spanned foundational government initiatives, Amazon, and Sanas AI. Throughout these roles, my core focus has been building conversational AI that genuinely makes life easier, while bootstrapping machine learning capabilities for low-resource Indian languages.
Recently, I founded Vaikhari AI to address critical gaps in how we evaluate and govern modern AI frameworks, and to enable the masses to benefit from AI through edge capabilities.
Today, I divide my time between Bangalore, Varanasi, and Kannauj. Outside of work, I am an ever-student of Hindustani classical music. I play a variety of wind and string instruments, and to me, exploring the intricate mathematical patterns of rāgas feels like a completely natural extension of sequence modelling.
Professional Journey
Founder
Vaikhari AI • Bangalore
Leading end-to-end product, research, and customer discovery for an enterprise AI evaluation platform. Designed the CORE benchmark frameworks for ontological reasoning, robustness, and real-world task performance at scale.
Director of ML Analytics
Sanas AI • Bangalore
Founded and scaled the Data and ML Analytics org to 40+ HC, supporting significant ARR growth. Built the Model Factory for automated data flow and evaluation.
Lead NLU Engineer
Amazon (Alexa AI) • Bangalore
Led NLU engineering for Alexa AI, managing global cross-functional teams of engineers and scientists. Shipped ML systems supporting millions of daily user interactions across global markets.
Senior Researcher & TA
IIT (BHU) • Varanasi
Taught DSP/NLP courses and led end-to-end data, modeling, and evaluation for NLU research for applied projects. Mentored B.Tech students while pursuing computational linguistics research.
Selected Research
Research & Focus Areas
My work inherently spans across classical linguistics and modern machine learning infrastructure. Here are the intersections I spend my time exploring, building, and deploying.
AI Evaluation & Benchmarking
AI Reliability & Governance
Conversational AI
Generative AI
Bias in LLMs
Low-Resource Language NLP
Speech AI
Sanskrit Computational Linguistics
Paninian Grammar
Equitable AI
Engineering Stack
LLMs, Evaluation Frameworks, A/B Testing, State Space Models, Transformers
AWS (Bedrock, Lex), GCP (Vertex AI), Large-scale ML Pipelines
Python, SQL, Bash
Let’s Connect
Whether you are interested in discussing AI Governance, looking for collaboration on Low-Resource NLP, or just want to chat about the grammar of Panini, my inbox is open.