---
title: "subrakanth sutar - Senior Data Scientist in Bengaluru | Tal"
description: "Meet subrakanth sutar, Senior Data Scientist | Genrative AI, Large Language Models, Machine Learning Algorithms based in Bengaluru. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/subhrakant-sutar/share-image"
---

# subrakanth sutar on Tal

## Headline

Senior Data Scientist \| Genrative AI, Large Language Models, Machine Learning Algorithms

## About

With a Master of Computer Applications from Sir M Visvesvaraya Institute of Technology and a postgraduate certification in Big Data Analytics from INSOFE, I contribute to the field of data science through innovative applications of machine learning and natural language processing\. At MResult, I focus on developing advanced data science solutions, leveraging tools such as Retrieval\-Augmented Generation \(RAG\), transformers, and Dataiku DSS to drive impactful results\. Passionate about ethical AI, my work aims to push the boundaries of generative AI while maintaining fairness and transparency\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

codex

elevenlabs

gemini

## Work experience

Senior Data Scientist at MResult, Dec 2024 \- Present · 1 yr 10 mos, Bengaluru, At MResult, working on building practical and scalable AI solutions across healthcare and pharmaceutical domains, focusing on solving real business problems rather than purely experimental use cases\. Current work centers around metadata extraction, AI\-driven data verification, and intelligent data access systems\. Driving the design of a metadata tagging framework to structure unorganized data across documents, enabling downstream AI applications like search, retrieval, and analytics\. Developing a data verification system with human\-in\-the\-loop \(HITL\), combining vector similarity \(FAISS\), keyword matching, and rule\-based validation to ensure high\-confidence mappings between source and derived datasets\. Actively contributing to a Snowflake Cortex\-based NL\-to\-SQL solution, leveraging Analyst and Agent capabilities to translate business questions into accurate SQL queries\. Working on solving real\-world challenges such as response limits, secure data export, and enterprise integrations using Microsoft Copilot Studio, Teams bots, and SharePoint workflows\. The focus remains on data reliability, explainability, and usability, ensuring AI systems are not only functional but also trustworthy and aligned with business needs\.

Natural Language Processing Engineer at Press Ganey Associates India Pvt\. Ltd\., Dec 2022 \- Dec 2024 · 2 yrs 1 mo, Fine\-tuned large transformer language models for sentiment classification and regression, reaching 97 percent accuracy, and benchmarked GPU runtime performance to inform deployment sizing\.

Senior Consultant\- NLP Engineer at Press Ganey, Dec 2022 \- Oct 2024 · 1 yr 11 mos, Bengaluru, At Press Ganey Associates, worked as a Senior NLP Engineer focusing on building reliable and responsible AI systems for real\-world healthcare and consumer insight applications\. The role involved strengthening model performance while ensuring fairness, transparency, and practical usability in production environments\. Led the development of fairness evaluation pipelines integrated with MLflow, leveraging tools like Aequitas and IBM AI Fairness 360 to detect and reduce bias across dimensions such as gender, race, and region\. This work helped improve trust and accountability in model predictions\. Worked extensively on advanced NLP models, including RoBERTa, XLNet, and DeBERTa, fine\-tuning them for sentiment understanding and feature–opinion extraction\. The focus was not just on accuracy, but on capturing nuanced relationships within text data\. Addressed class imbalance challenges in large\-scale datasets through techniques like SMOTE and class\-weight optimization, improving performance for underrepresented classes without compromising overall model stability\. Built pipelines to extract structured insights from unstructured consumer feedback, ensuring correct pairing of features and opinions—especially in complex, multi\-aspect reviews\. Driven by a strong interest in ethical and explainable AI, consistently worked towards creating systems that balance performance with fairness and real\-world impact\.

Senior Data Scientist at Insigma Vision, Apr 2019 \- Dec 2022 · 3 yrs 9 mos, Bengaluru, Karnataka, India, At Insigma Vision, worked on building end\-to\-end AI solutions at the intersection of healthcare, computer vision, and NLP, with a strong focus on real\-world clinical impact\. Led the development of an AI\-powered acne consultation platform, leveraging TensorFlow\-based CNN models to classify acne types and severity with high precision\. Extended the solution by integrating object detection models for lesion identification, improving diagnostic reliability and enabling more granular analysis\. Contributed to designing an intelligent system that matched patients with dermatologists based on AI\-driven diagnosis, while also supporting treatment monitoring—bridging the gap between prediction and actionable healthcare outcomes\. Played a key role in the Aiklu Triage initiative, helping transform traditional dermatology clinics into digital\-first ecosystems\. This included building a Smart Mirror solution for automated patient onboarding and enabling end\-to\-end digital workflows for consultations and prescriptions\. Worked on clinical NLP pipelines using Spark NLP Healthcare, extracting structured medical entities such as ICD codes, SNOMED mappings, symptoms, and clinical indicators from unstructured medical text—helping providers derive meaningful insights from complex documentation\. Beyond model development, actively handled problem diagnosis, system optimization, and project execution, ensuring solutions were production\-ready, scalable, and aligned with business objectives\. The work combined deep technical implementation with a clear goal: making AI usable, reliable, and impactful in real healthcare settings\.

Data Scientist at Centura Technologies, Dec 2017 \- Apr 2019 · 1 yr 5 mos, Bengaluru Area, India, Started the journey in applied AI by working on building foundational machine learning and computer vision solutions for healthcare\-focused applications\. Developed a deep learning\-based image classification system using TensorFlow CNNs to identify and categorize adult and pediatric skin conditions\. Focused on improving model performance through iterative experimentation, data handling, and architecture tuning to achieve reliable diagnostic outputs\. Worked closely with cross\-functional teams to translate problem statements into working ML solutions, contributing across the lifecycle—from data preparation and model development to evaluation and deployment readiness\. Gained strong exposure to real\-world delivery environments, handling client\-facing requirements, timelines, and solution iterations while ensuring quality and consistency in outputs\. Contributed to improving internal processes by identifying performance gaps and optimizing workflows, building a strong foundation in problem\-solving and system thinking early in the career\. This phase laid the groundwork for deeper specialization in AI, NLP, and healthcare\-driven machine learning systems, shaping a practical and execution\-focused approach to building intelligent solutions\.

## Education

Master of Computer Applications \- MCA, Computer Software Engineering, Sir M Visvesvaraya Institute Of Technology

PGP, Big Data Analytics and Data Optimization, International School of Engineering \(INSOFE\)

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

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