---
title: "Sakshi Tantak - Data Scientist 2 in Bengaluru | Tal"
description: "Meet Sakshi Tantak, Senior Data Scientist, Acko | Deep Learning | topmate.io/sakshitantak based in Bengaluru. AI stack includes hugging face, langchain, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/sakshi-tantak/share-image"
---

# Sakshi Tantak on Tal

## Headline

Senior Data Scientist, Acko \| Deep Learning \| topmate\.io/sakshitantak

## About

I’m passionate about solving real\-world problems with impactful, scalable tech\. With hands\-on experience across diverse datasets and industries, I help companies harness the power of AI to transform operations and design more human\-centered, intelligent systems\. My strength lies in translating complex use cases into practical AI solutions — driving value while advocating for a balanced relationship between humans and machines in the workplace\. Outside of work, I explore life like a curious node in a vast neural network — swimming, meditating, singing, traveling, and observing the little things that make life beautifully insignificant\. You might find me deep in research papers one day, and decompressing in a quiet park the next\. Let’s talk AI, ML, DL — or just share notes on building a more mindful, tech\-driven world\. And if you needed a sign to move your body today… this is it\. Always excited to collaborate with mission\-driven teams shaping the future of safe, responsible AI 🫶🏻

## Location

Bengaluru

## AI stack

hugging face

langchain

langgraph

openai

## Work experience

Data Scientist 2 at Acko, Mar 2024 \- Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, Built platform for identifying document fraud at the time of claim Built central platform that enables building any document intelligence use cases with the help of a mere configuration file\. Conducting continued pre training and fine\-tuning of SLMs for domain adaptation in insurance like analysing policies, and enabling JSON data interpretation using LLMs\.

Senior Data Scientist at Vakilsearch, Jun 2023 \- Mar 2024 · 10 mos, India, Conducted continued pre\-training and fine\-tuning of language models ranging from older to relatively newer architectures to serve and enhance legal domain\. Built a chatbot to help reduce escalations in customer experience section with LLMs using RAG

Senior Data Scientist at i3systems\.ai, May 2022 \- Jun 2023 · 1 yr 2 mos, Mumbai, Maharashtra, India, \- Worked on developing models and strategising data for Financial Underwriting platform \- an intelligent platform to extract and validate data from financial documents like Salary Slips & ITR\. Trained CRF\-BiLSTM based architectures using flairnlp & CRF\+\+ for NER with a very generic tagging strategy for documents where data exists in key\-value pairs \- Fine\-tuned Clinical LongFormer for extraction of clinical & non\-clinical data from discharge summaries \- Fine\-tuned LiLT for extraction of major sections from discharge summaries \- Conducted trial to predict quality of document images using LayoutLMv3 \- Fine\-tuned LayoutLM, LayoutLMv2 & LiLT for extraction of PII from KYC documents \- Aadhar, PAN Card, Passport, Voter ID & Driving Licence \- Conducted trial for image classification by fine\-tuning Vision Transformer based architectures \- Worked on correcting angles of document images to prevent issues arising from disoriented images in inference of multimodal models \- Built quick demos and internal annotation tools using Streamlit \- Customised existing streamlit component for NER annotation/highlighting to aid highlighting entire token instead of substrings selected upon dragging \- Customised existing streamlit component to convert BIO to BIOES style of annotation for NER \- Working on developing a system to identify potentially fraudulent claims by using a vast array of data points extracted from documents attached with claims, using objective triggers & embeddings based search & retrieval of claims with similar to exact section occurrence in documents

Data Scientist at i3systems\.ai, Aug 2021 \- May 2022 · 10 mos, Mumbai, Maharashtra, India, \- Trained NER models to extract Metadata from Bills, Reports & Discharge Summaries using flairnlp, SpaCy & CRF\+\+ \- Integrated Microsoft Azure’s Language Services in an existing product for medical codes like ICD10, UMLS, etc using textanalytics healthcare API \- Trained NER models for extraction of PII information from KYC documents \- Aadhar, PAN Card, Passport, Voter ID, Driving Licence & Insurance IDs \- Experimented with a lot of models for multiple tasks

Python Developer at Indian Institute of Technology, Bombay, May 2021 \- Sep 2021 · 5 mos, India

Junior ML Engineer at Omdena, May 2021 \- Jul 2021 · 3 mos, India, NLP, Web Scraping

## Education

Bachelor of Engineering, Information Technology, Pune Institute of Computer Technology

## Public links

- github: https://github\.com/pikaduck

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

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