I make AI
show its work
Data engineering and applied ML for banks, insurers and fintechs.
LLM output that can be checked: every claim traced to its source, measured for grounding and unsupported statements, and logged so a reviewer or auditor can follow the reasoning. Built for regulated financial workflows, where a confident wrong answer is the expensive failure.
Founder & CTO of Craton Labs (Manta Solutions Private Limited), a BFSI tech-compliance company focused on the safe use of AI agents and LLMs in financial services. Before that: data engineering and ML across banking, insurance and edge systems — pipelines, streaming, and analytics at scale. I favour well-defined repeatable workflows over open-ended agents, because auditability depends on the path being specified rather than improvised.
Data engineering and applied ML for banks, insurers and fintechs. Evaluation and assurance on top, so the output holds up to a reviewer.
AI engineering
An extraction pipeline for regulated documents where every value in the output grid carries a citation back to the document that produced it — and a verification layer that decides whether a value is allowed to stand
AI engineering
Claim-level grounding, unsupported-claim rate, and adversarial testing — the three measurements that tell you whether an LLM output can be relied on, rather than merely sounds right
projects
A deep dive into e-commerce data using K-Means clustering to uncover the hidden relationship between delivery performance and customer retention.
Single-system evaluation, an evaluation harness build, or a monthly assurance pass. Advisory, documentation and technical testing — not a legal opinion, and not a conformity assessment, certification or attestation under any regulatory regime.
Deep dives into algorithms, statistics, and ML theory; implemented from first principles.
Statistics
Building a complete experimentation framework — from hypothesis testing to Bayesian inference
ML
Understanding the mathematics of reducing high-dimensional data — from eigendecomposition to manifold learning
ML
Implementing core ML algorithms from first principles using only NumPy
Building data and AI systems across industries; from insurtech analytics to verifiable AI for regulated finance.
2021 - 2023
Siemens Ltd.
ETL • Python • Data Pipelines
Jul 2024 - Dec 2024
Habitat
Edge Inference • CI/CD
Jan 2025 - Sept 2025
RiskPe
PySpark • SQL • Power BI
Oct 2025 - Present
Craton Labs
BFSI AI Compliance • RAG Evaluation