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Abdullah Ehsan

Abdullah Ehsan

Generative AI and text generation specialist in English

India flagKolkata, India
$20.00/hrIntermediateAppenDatasaurImerit

Key Skills

Software

AppenAppen
DatasaurDatasaur
iMeritiMerit
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText

Top Task Types

Bounding Box
Point Key Point
Prompt Response Writing SFT
Text Generation

Freelancer Overview

My expertise lies in text analysis where I have contributed considerably for training large commercial LLM models for international clients. I have worked in multidisciplinary projects such as Autodesk, Adobe, LinkedIn and Meta where I had to fully understand the techniques of NLP and LLM architecture. Adherence to large guidelines and quality control are a couple of aspects that enabled to me to deliver quality training to LLM models. Prompt engineering is another key skill that I possess that helped me in projects such as LinkedIn and Meta wherein I had to analyze responses given by the LLM designed for a specific purpose.

IntermediateFrenchEnglish

Labeling Experience

Appen

LinkedIn: Job seeking and knowledge seeking

AppenTextText Generation
The scope of the project was to train a large AI model developed by Microsoft LinkedIn for enabling LinkedIn users to help in seeking jobs and knowledge on the platform. I had to analyze the responses generated by the AI model against a prompt and ensure that the responses generated by the model are adhering the guidelines. The responses had to be judged five criteria: Good, Very good, Bad Very bad, and hallucination. The quality had to be adhered since it affected the ability of the model to give accurate responses to the prompt.

The scope of the project was to train a large AI model developed by Microsoft LinkedIn for enabling LinkedIn users to help in seeking jobs and knowledge on the platform. I had to analyze the responses generated by the AI model against a prompt and ensure that the responses generated by the model are adhering the guidelines. The responses had to be judged five criteria: Good, Very good, Bad Very bad, and hallucination. The quality had to be adhered since it affected the ability of the model to give accurate responses to the prompt.

2024 - 2024

Education

T

The Frank Anthony Public School

ISC, Science

ISC
2017 - 2017
S

St. Mary’s

ICSE, General Education

ICSE
2015 - 2015

Work History

I

iMerit Technology Pvt Ltd

Generative AI analyst

Kolkata
2024 - Present
E

eWards

Client Success Manager

Kolkata
2022 - 2024