---
title: "Prayash Dash - Data Scientist I in Bengaluru | Tal"
description: "Meet Prayash Dash, Data Scientist @ HiLabs | LLMs, Agentic AI, NLP & ML Systems | IIT (BHU) Varanasi Electrical ’25 based in Bengaluru. AI stack includes cursor, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/prayash-dash/share-image"
---

# Prayash Dash on Tal

## Headline

Data Scientist @ HiLabs \| LLMs, Agentic AI, NLP & ML Systems \| IIT \(BHU\) Varanasi Electrical ’25

## About

Data Scientist at HiLabs building production ML systems for healthcare\. Interested in LLM systems, agentic AI, and solving hard problems at the intersection of machine learning and engineering\. IIT \(BHU\) Varanasi — B\.Tech, Electrical Engineering\. Astronomy nerd\. Always open to interesting conversations\.

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Data Scientist I at HiLabs, Jun 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India, • Built and deployed production AI systems spanning entity resolution, sanctions intelligence, provider verification, and healthcare data standardization on AWS\. • Developed large\-scale retrieval and matching pipelines using transformer embeddings, semantic search, fuzzy matching, and vector databases to automate provider intelligence workflows across millions of records\. • Architected agentic AI workflows with LangGraph, GPT\-4o, web search, and browser automation, reducing manual research and validation effort by more than an order of magnitude\. • Designed high\-throughput data and MLOps pipelines using Spark, Polars, FastAPI, Kubernetes, and AWS services to support both batch and real\-time inference workloads\. • Built predictive ML systems from healthcare claims and registry data, performing feature engineering, model optimization, and deployment for operational decision support\.

Data Science Intern at QuantumStreet AI, May 2024 \- Jul 2024 · 3 mos, Bengaluru, Karnataka, India, • Evaluated 40\+ Deepchecks validation modules to harden feature\-selection pipelines, reducing model RMSE by 50% • Built modular validation components for feature correlation, data drift, weak\-segment detection, improving robustness on unseen data • Implemented reinforcement\-learning\-based feature selection \(FSRL\), achieving a 20% improvement over RFE baselines

Project Engineering Intern at Aryabhatta Research Institute of Observational Sciences, Dec 2023 \- Feb 2024 · 3 mos, Nainital, Uttarakhand, India

Joint Secretary at Astronomy Club, IIT \(BHU\) Varanasi, Jun 2023 \- May 2024 · 1 yr, Led a team of 50\+ members across 6 subdomain through 4 major projects, and managed a budget of INR 1\.5 L\+

Core Team Member at Astronomy Club, IIT \(BHU\) Varanasi, Jul 2022 \- Jun 2023 · 1 yr

Core Team Member at Business Club, IIT \(BHU\), Varanasi, Jul 2022 \- May 2023 · 11 mos

## Education

Bachelor of Technology \- BTech, Electrical Engineering Technologies/Technicians, Indian Institute of Technology \(Banaras Hindu University\), Varanasi

Class XII, Delhi Public School \(DPS\)

## Public links

- github: https://github\.com/prayashdash1729

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

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