---
title: "Akash Gupta - Data Scientist in Bengaluru | Tal"
description: "Meet Akash Gupta, Building Gomarble.ai || MTS-1 NLP Developer @Alphastream.ai ll FORMER SWE INTERN @Bytelearn.ai || Data Science ll COMPETITIVE PROGRAMMER || IET’23 based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including github and codefo..."
image: "https://tal.club/meet/akash-gupta-22/share-image"
---

# Akash Gupta on Tal

## Headline

Building Gomarble\.ai \|\| MTS\-1 NLP Developer @Alphastream\.ai ll FORMER SWE INTERN @Bytelearn\.ai \|\| Data Science ll COMPETITIVE PROGRAMMER \|\| IET’23

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

## Work experience

Data Scientist at GoMarble, Mar 2025 \- Present · 1 yr 9 mos, Bengaluru, Karnataka, India

MTS1 NLP Developer at alphastream\.ai, Jun 2023 \- Mar 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, • Improved NER classification for financial tables using BAAI/bge\-large\-en model, boosting accuracy from 87% to 94%\. • Developed a RAG pipeline for extracting 50 complex data points with 80% accuracy from 300\+ page credit agreement documents, using Elastic Search, Llama Index, and Qwen1\.5\-72B model\. • Implemented and evaluated various ranking profiles, including hybrid profiles, using Vespa\. • Created a parallelized system to extract 500 data points in 1\.5 minutes from private company profiles\. • Built a RAG system to extract direct and calculated data points from financial documents, handling currency and quantum\.

Member of Technical Staff at alphastream\.ai, Jun 2023 \- Mar 2025 · 1 yr 10 mos, Alphastream builds AI document\-intelligence products for fixed\-income and credit\-market analysis\. Engineered high\-precision RAG pipelines extracting structured data from 300\+ page credit agreements using LlamaIndex, ElasticSearch, and Qwen1\.5\-72B\. Key results: \~80% extraction accuracy on a 50\-field schema; NER accuracy raised 87% → 94% via optimized BAAI/bge\-large\-en embeddings; Text\-to\-SQL engine \(Claude 3\.5 Sonnet\) at 87% execution accuracy on financial\-database benchmarks\. Designed a parallelized extraction engine pulling 500\+ data points from private\-company profiles in under 90 seconds; implemented hybrid ranking profiles in Vespa; benchmarked Google Model Garden deployments\.

Software Engineer Intern at ByteLearn\.com, Jul 2022 \- Dec 2022 · 6 mos, Noida, Uttar Pradesh, India, • Worked with solver team: Assisted in creating and debugging 10\+ problem templates for student\-chatbot interaction \. • Developed Python scripts for the chatbot utilising the Low Code Platform, Python, JSON, and Jinja\. Used Postman to generate Chatbot Payload after implementing solution code for various problem categories

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Institute of Engineering and Technology

Intermediate, kendriya vidyalaya

## Public links

- github: https://github\.com/akashgomarble
- codeforces: https://codeforces\.com/profile/coder2k20

[View the original profile](https://tal.club/meet/akash-gupta-22)

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