---
title: "Dev Singh - Lead AI Engineer in Bengaluru | Tal"
description: "Meet Dev Singh, Lead AI Engineer at Aon based in Bengaluru. AI stack includes cursor, geminicli, and hugging face."
image: "https://tal.club/meet/dev-singh-2/share-image"
---

# Dev Singh on Tal

## Headline

Lead AI Engineer at Aon

## About

IIT Goa alum working in the Fintech industry having years of working experience\. Deeply interested in AI R&amp;D\. Always up for new challenges and opportunities\. During my previous engagements, I've worked extensively with Data to build products and services providing value to our customers and solving real world problems\. I'm presently engaged in cutting edge research on Generative AI and building risk products using Frameworks like LlamaIndex, Langchain, Autogen, etc\. As a software engineer, I am committed to staying up\-to\-date with the latest technologies and industry developments\. ✔ Programming: Python, Rust, Go, C, C\+\+, SQL, Django, Fast API, Langchain, AutoGen, Rest API, HTML, CSS, JavaScript, UNIX, Data Structures, System Design, React JS, Node, Redux, React\-Native ✔ Tech Domains: Data Engineering, Data Science, DevOps, Backend development, Mobile Development, Full\-Stack Development Reach me at: ✉️ dev\.singh\.18003@iitgoa\.ac\.in

## Location

Bengaluru

## AI stack

cursor

geminicli

hugging face

langgraph

opencode

claudecode

## Work experience

Lead AI Engineer at Aon, Apr 2026 \- Present · 5 mos, Bengaluru, Karnataka, India, \* Building ClarifAI – enabling brokers to create detailed risk scenarios, perform advanced risk analysis, and access training on risk products to better help clients mitigate and manage risks\. \* Developing Aon Risk Indicator – a platform tracking 50\+ risk parameters for 3,000\+ clients, supporting the full journey from risk discovery to proactive risk mitigation\.

Senior Software Engineer at Aon, Nov 2024 \- Present · 1 yr 10 mos, Bengaluru, Karnataka, India, \* Building a Reputational Risk Engine under the Emerging Risks \(ER\) domain\. This engine analyzes companies using diverse public data sources — including Wikipedia, news articles, ratings, and more — to assess reputational risk\. By mapping signals across multiple risk taxonomies, it helps identify potential reputational events and their adverse impact on stock performance\. The goal: empower organizations and investors with a data\-driven lens on reputation, risk, and resilience\.

Software Engineer at Aon, Nov 2023 \- Oct 2024 · 1 yr, India, \* Building Noa \(our personalized AI\-broker Solution trained on Insurance Data\) to help brokers making better decisions\. \* Building Policy Checker AI to help brokers better understand policies and find small but significant changes within seconds, achieving an accuracy of 82% on the Gold Dataset build by the SMEs\. \* Building AI solutions like Pay Transparency AI to improve Pay parity across roles in an organization\. \* Working with DevOps and Application Team to architect new solutions and client deployment for the insurance products\.

Software Engineer at Turtlemint, Jun 2023 \- Nov 2023 · 6 mos, Software Engineer worked in the Data Science and the Data Engineering Team\. \* Built a data pipeline to ingest CSV data into AWS Athena and a PostgreSQL Data Warehouse to create interactive dashboards using Apache Superset and also added Airflow DAGs for pipeline performance monitoring\. • Built the Credit Card Insights Page using MVT architecture in Django based on the data collected from a new Credit Card Initiative\.

Software Engineer Intern at Turtlemint, Oct 2022 \- Jun 2023 · 9 mos, \* Built a community\-based Insurance Solution deployed on the Polygon blockchain, based on MERN with MongoDB &amp; smart contracts using Solidity\. \* Used ARIMA &amp; Prophet model to do forecasting on Insurance Data including Premium, etc to help executives make better informed decisions\.

Software Engineer at Indian Institute of Technology \(IIT\) Goa, May 2022 \- Jul 2022 · 3 mos, Goa, India, Build a software development module for check in/check out for internal use in IIT Goa\. Build the front\-end using ReactJS and back\-end in Django and MongoDB\. Used the RFID HF OEM Module ETHERNET module to input data for entry and exit of students\.

## Education

Bachelor of Technology \- BTech, Mechanical Engineering, Indian Institute of Technology \(IIT\) Goa

## Profile highlights

What I'm currently working on: Building risk products using GenAI frameworks like Langchain and LlamaIndex to solve complex fintech challenges\.

[View the original profile](https://tal.club/meet/dev-singh-2)

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