Senior AI Engineer · Chubb

Abinav Ramesh

I design and ship production Gen AI systems: RAG pipelines, enterprise LLM assistants, agentic workflows and AI governance platforms, built on 7+ years of machine learning and analytics.

Portrait of Abinav Ramesh Sundararaman
$5MM
value delivered by an Agentic Enterprise Assistant at TD
$10M CAD
saved each year by liquidity forecasting models

Projects

Gen AI & agents

Recent work on LLM applications, multi-modal models and agent systems.

Agentic AI

Terminal Coding Agent

A coding agent for the terminal that reads, edits and runs code, with plan mode, MCP tools, subagents and long-term memory, on any OpenAI-compatible model.

  • Python
  • asyncio
  • OpenAI-compatible APIs
  • OpenRouter
  • +4

LLM Applications

Conversational Text2SQL

Ask a database a question in plain English and get ready-to-run SQL and its results, with an LLM-as-judge evaluator to measure accuracy.

  • Python
  • OpenAI GPT-4.1 mini
  • Pydantic
  • Streamlit
  • +3

Agentic AI

Agentic AI Financial Agent

A team of specialist agents that pull live market data, search and scrape the web, and summarise videos into one sourced answer.

  • Python
  • agno
  • Groq
  • Llama 3.3 70B
  • +6

Multi-Modal LLMs

DocTalk: Multi-Modal Chat App

One chat for PDFs, code, images and audio, with Gemini reasoning over the raw file instead of a chain of OCR and transcription steps.

  • Python
  • Streamlit
  • Gemini 2.0 Flash
  • google-genai SDK
  • +2

LLM Applications

Smart Resume ATS System

Upload a resume and a job description to get a structured candidate summary and a skill-gap analysis in seconds.

  • Python
  • Gemini 2.0 Flash
  • google-genai SDK
  • Streamlit
  • +1

LLM Applications

LLM Chatbot

A from-scratch multi-turn chatbot on Gemini 2.0 Flash with conversation memory and a model layer that can be swapped out.

  • Python
  • Gemini 2.0 Flash
  • google-genai SDK
  • Streamlit
  • +1

Multi-Modal LLMs

Nutritionist LLM

Upload photos of everything you ate in a day and get the food items, calories, macros, a 1-10 health score and suggested swaps from a vision model.

  • Python
  • Gemini 2.0 Flash
  • google-genai SDK
  • Streamlit
  • +2

Earlier work

Machine learning, NLP and data engineering projects from before the LLM era.

Text Mining

Car Brand Analysis

Scraped Edmunds forum posts and used lift ratios and an MDS map to show which car brands buyers see as similar, and what they associate with each.

  • Python
  • Selenium
  • BeautifulSoup

Data Engineering

Data-Triggered Workflow in Apache Oozie

An Oozie coordinator that starts the daily workflow only after three days of one feed and two days of another have fully landed.

  • Apache Oozie
  • Hadoop HDFS
  • Hive

Developer Tooling

Client-Side Git Hooks

Client-side hooks that auto-format Python with Black, enforce commit-message rules and block unwanted rebases, installed with one script.

  • Git
  • Python
  • Black

NLP

Legalisation of Marijuana in Canada

Province-by-province Twitter sentiment before and after cannabis legalisation, weighted by follower reach, to recommend how to roll out controversial policies.

  • Python
  • twitterscraper
  • Selenium

Automation

SFTP Transfer Automation

A scheduled Python job that pulls data from Impala, writes a dated CSV and delivers it to the right folder on an SFTP server, with no manual steps.

  • Python
  • pyodbc
  • Impala

NLP

Salary Prediction from Job Descriptions

Compared Naive Bayes models on job-posting text, job attributes and both combined to predict high versus low salary. The text-only model won with 77.2% accuracy.

  • Python
  • NLTK
  • scikit-learn

Social Network Analysis

Network Analysis of the AirPower Cancellation

Analysed about 30,000 tweets as Apple cancelled AirPower: sentiment, emoji use, how the network exploded, and which influencers spread it worldwide.

  • R
  • rtweet
  • Python

Computer Vision

Face Detection on FPGA

Real-time face detection prototyped in MATLAB and deployed to a ZedBoard with a Xilinx Zynq-7000 SoC.

  • MATLAB
  • ZedBoard
  • Xilinx Zynq-7000

About

Experience

I build Gen AI systems that hold up in production: agents, agentic workflows and the RAG pipelines underneath them. Seven years of machine learning and analytics taught me to judge every system by the business impact it delivers.

  1. Nov 2025 – Present

    Chubb

    Chubb

    Senior AI Engineer

    Building AI Studio, an enterprise platform for AI governance of MCP tools, agents and models - designing APIs and microservices, integrating Dify and Azure services for secure, governable GenAI use, and embedding governance guardrails (access, lineage, monitoring) into the agent/model lifecycle.

  2. Aug 2021 – Dec 2025

    TD Bank Group

    TD Bank Group

    Data Scientist → ML Engineer (Layer 6 AI) → Senior Applied ML Scientist

    4.5 years in Personal Banking Data & Analytics. Delivered $5MM in value building an Agentic Enterprise Assistant on Azure OpenAI and Azure AI Search, grounded by a RAG pipeline (query rewriting, ranking, insufficiency detection). Built a standardized RAG framework that cut application build time from 12 to 7 weeks, and time-series liquidity forecasting models saving $10M CAD annually.

  3. Oct 2020 – Sep 2022

    The Bigger Data

    The Bigger Data

    Data Science Project Manager

    Led a team of 5 at The Bigger Data to deliver analytics solutions for non-profits - improving operational efficiency by 30%, data accuracy by 90%, and building governance frameworks that avoided $200K in potential regulatory fines. Worked with AIESEC to improve their business model through analytics.

  4. Jul 2019 – Aug 2021

    Bell Mobility

    Bell Mobility

    Data Science Developer

    Built critical AI/ML products: a modem self-healing system that saved $1.1M CAD by proactively detecting and fixing degraded customer experience, proactive network outage prediction, automated reboot workflows resolving 40% of modem issues, and MicroStrategy dashboards driving $500K in annual savings.

  5. Aug 2018 – Jul 2019

    McGill University

    McGill University

    Master of Management in Analytics (MMA)

    GPA 3.92, Dean’s Honour List, Best Capstone Project and Best Outgoing Student Award. Capstone: Data Engineer/Modeller intern at McKesson Canada, building a Supplier Performance Management Program that saved up to $600K.

  6. Aug 2016 – Jul 2018

    Deloitte

    Deloitte Consulting

    Business Technology Analyst

    Worked across the full application lifecycle for US clients: converted 50+ OBIEE reports to SAP Business Objects on a SAP HANA backend, resolved 500+ production tickets as a Production Support Engineer with 100% SLA compliance, and served as a System Integration Tester for a major healthcare insurance provider. Received the Applause Award for outstanding performance.

  7. Jul 2012 – Jul 2016

    NITK

    National Institute of Technology Karnataka

    B.Tech, Electronics and Communication Engineering

Toolbox

Skills

Generative AI

  • LLMs
  • Prompt Engineering
  • RAG
  • Azure OpenAI
  • Azure AI Search
  • Promptflow
  • LangChain
  • LlamaIndex
  • CrewAI
  • Agno
  • LangGraph
  • MCP
  • Pinecone
  • ChromaDB
  • LanceDB

Deep Learning / NLP

  • TensorFlow
  • PyTorch
  • Transformers
  • Hugging Face
  • OpenCV

Cloud

  • Azure Databricks
  • Azure ML Studio
  • Azure AI Studio
  • Synapse

Big Data / DevOps

  • Spark
  • Hadoop
  • Hive (HQL)
  • Impala
  • Google BigQuery
  • Oozie
  • Maven
  • Docker
  • Kubernetes

Data Science / Visualization

  • Python
  • R
  • SAS
  • MATLAB
  • Tableau
  • Power BI
  • MicroStrategy
  • SAP Business Objects

Databases

  • SQL Server
  • PostgreSQL
  • MySQL
  • Teradata
  • SAP HANA
  • Neo4j

Contact

Let's talk Gen AI

I'm open to Gen AI, machine learning and data roles and collaborations. The quickest way to reach me is email or LinkedIn, or you can book a 15-minute call.