---
title: "Parth Sood - Data Scientist in Pune District | Tal"
description: "Meet Parth Sood, Data Scientist @ Aspect Ratio | Healthcare NLP · Vector Search · Agent Governance | Built HNSW from scratch — 98% recall at 1M scale | Ex-ISRO based in Pune District. AI stack includes anthropic apis, antigravity, and claude code. Explore public work links including github."
image: "https://tal.club/meet/parth-sood-1/share-image"
---

# Parth Sood on Tal

## Headline

Data Scientist @ Aspect Ratio \| Healthcare NLP · Vector Search · Agent Governance \| Built HNSW from scratch — 98% recall at 1M scale \| Ex\-ISRO

## About

Built a vector search engine from scratch 98% recall on 1M\+ records, 40% faster query latency and deployed NLP pipelines processing 10TB\+ of mission\-critical data at ISRO\. I help healthcare and AI product teams turn unstructured data \(EHR notes, physician records, clinical text\) into production ML systems that drive real decisions\. The shift: what used to take analysts days of manual review now runs through BioBERT/PubMedBERT pipelines I built, surfacing physician prescribing patterns and referral networks that directly inform commercial strategy\. What I do differently: I don't hand off a Jupyter notebook and call it done\. I own the full stack fine\-tuned NLP models, PySpark data pipelines, FastAPI serving, Docker deployment so generative AI and NLP systems actually run in production, not just in a slide deck\. I bring the same rigor to prompt engineering and model optimisation that I learned building real\-time anomaly detection systems for satellite telemetry\. Currently exploring GenAI and NLP engineering roles where I can push models from research to production at scale\. If your team is building generative AI products and needs someone who ships end\-to\-end not just experiments send me a message with the role\. I'll reply with the three questions I'd ask in the first week\.

## Location

Pune District

## AI stack

anthropic apis

antigravity

claude code

claude

cursor

gemini

glama

hugging face

kimi

langchain

langgraph

langsmith

lovable

mcp

n8n

replit

## Work experience

Data Scientist at Aspect Ratio, Jan 2025 \- Present · 1 yr 7 mos, Pune District, Maharashtra, India, • Architected an end\-to\-end RAG pipeline and NLP patient cohort system using PubMedBERT embeddings, metadata indexing, and optimized token chunking over 10M\+ records across distributed SQL databases and unstructured clinical notes, cutting analyst query latency by 55%\. • Designed a production physician referral knowledge graph with hybrid retrieval \(dense transformer embeddings \+ frequency\-weighted graph traversal\), successfully mitigating hallucinations in downstream LLM outputs and surfacing 2× more high\-value targets than rule\-based systems\. • Delivered unsupervised patient segmentation across 500K\+ clinical notes using BioBERT \+ UMAP, uncovering 12 prescribing behavior clusters that cut strategic market targeting spend by 20%\.

Machine Learning Researcher at ISRO \- Indian Space Research Organization, Jun 2024 \- Aug 2024 · 3 mos, Ahmedabad, Gujarat, India, • Built secure, high\-throughput PySpark streaming ingestion pipelines processing 10TB\+ of raw satellite telemetry, enforcing strict data governance, access controls, and compliance requirements in a mission\-critical air\-gapped environment\. • Engineered a production anomaly detection framework using Kalman Filters with calibrated confidence scoring and tiered alert routing, reducing false\-positive alerts by 38% and cutting Spark model training time by 45%\.

LLM Engineer \( Contributor \) at Unify, May 2024 \- Aug 2024 · 4 mos, Remote, Tried figuring out how chatGPT works\. Not there yet :\)

Project Development Manager at Rhyno EV, May 2024 \- Jun 2024 · 2 mos, Gandhinagar, Gujarat, India, Helping them to sell more EVs “online”

Software Engineer at MoMacMo Pvt Ltd\., Apr 2023 \- Apr 2024 · 1 yr 1 mo, Texas, United States, \- Improved seismic data analysis model accuracy by 40% through cloud\-native migration and performance tuning of Spring Boot \+ ML pipelines\. \- Shipped RESTful APIs on AWS \(Elastic Beanstalk, API Gateway, Cognito\) that powered live client demos — contributed to a 35% revenue increase\.

## Education

Bachelor's degree, Computer Science, Pandit Deendayal Energy University

Delhi Public School Vadodara

## Public links

- github: https://github\.com/psood708

[View the original profile](https://tal.club/meet/parth-sood-1)

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