---
title: "Ayesha Siddiqa - Senior Data Scientist 2 in Hyderabad | Tal"
description: "Meet Ayesha Siddiqa, Applied AI @ Flipkart | Lead Data Scientist | Agentic systems · LLM fine-tuning & post-training · Multilingual NLP based in Hyderabad. AI stack includes antigravity and codex."
image: "https://tal.club/meet/ayesha-siddiqa/share-image"
---

# Ayesha Siddiqa on Tal

## Headline

Applied AI @ Flipkart \| Lead Data Scientist \| Agentic systems · LLM fine\-tuning &amp; post\-training · Multilingual NLP

## About

For \~8 years at Flipkart, I've worked at the intersection of applied research and production ML: conversational AI, LLMs and SLMs, RAG, Agentic AI systems, and multilingual NLP\. I lead the CX Data Science team, where we own the AI behind post\-order customer experience — from the chatbot that picks up your order context, to the copilot a human agent uses while talking to you\. Some highlights from the journey so far: → The Agent Chat Copilot cut Average Handling Time by 50%, now runs 90K\+ chats a day → Flipkart's in\-house RAG framework \(Instant Karma 2024\) and a RAFT pipeline that beat GPT\-3\.5 on customer\-support QA\. → NER for Voice &amp; Text Search / Decision Assistant — reduced support cost by 10% and delivered bottom\-line savings\. → Expanded vernacular NLP coverage from 5 to 12 Indian languages for agent\-notes Summarization through Google collaboration utilising Gemini models for STT\. Currently, my focus is agentic AI for post\-purchase CX — moving from hardcoded orchestration to a reinforcement\-learning\-based system \(DQN inside an agentic layer, treating the journey as an MDP\) that learns from actual user feedback instead of static rules\. Outside of shipping, I mentor junior scientists, translate research for business stakeholders \(including the less glamorous but essential work of GenAI infra\-cost estimation and ROI modelling\), and publish — most recently accepted at SIGIR 2026, previously at KDD e\-commerce 2022, Springer LNAI, and CICLING\. Stack: PyTorch, HuggingFace, Haystack, Google ADK, Unsloth\. Models I've fine\-tuned and deployed in production: Llama, Mistral, Gemma 3, GPT/Gemini variants, BLIP2, ColQwen2, mBERT/mBART/XLM\.

## Location

Hyderabad

## AI stack

antigravity

codex

## Work experience

Senior Data Scientist 2 at Flipkart, Mar 2026 \- Present · 6 mos, Bengaluru, Karnataka, India

Senior Data Scientist at Flipkart, Aug 2023 \- Jan 2026 · 2 yrs 6 mos, Bengaluru, Karnataka, India

Data Scientist 3 at Flipkart, Sep 2021 \- Aug 2023 · 2 yrs

Data Scientist 2 at Flipkart, Jul 2018 \- Aug 2021 · 3 yrs 2 mos, Bengaluru, Karnataka, India

Research Scholar at IIT MADRAS, Jan 2014 \- 2017 · 3 yrs 1 mo, Greater Chennai Area

## Education

Master’s Degree, Computer Science \- Machine Learning and Natural Language Processing, Indian Institute of Technology, Madras

Master's degree, Computer Science, Indian Institute of Technology, Madras

[View the original profile](https://tal.club/meet/ayesha-siddiqa)

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