Green leaf

Sujit M - Python developer
Member since:Apr 25, 2020
Profile last updated:Nov 10, 2021
Last activity:Nov. 24, 2021, 5:07 a.m. UTC

Sujit M

Working as a Lead NLP Data Scientist with the London Stock Exchange group. I have experience working in Retail, Healthcare, and the Fintech domain. Good experience in building and designing products. I have designed and implemented conversational bots for few domains. I have experience in NLP, NLG, NLU.

Skills:   Python  ·  Deep learning  ·  Machine learning  ·  Natural language processing  ·  Docker  ·  Kubernetes  · 
Weekly Availability: 60 hours
Mon 10 - 22 02 - 14
Tues 10 - 22 02 - 14
Wed 10 - 22 02 - 14
Thurs 10 - 22 02 - 14
Fri 10 - 22 02 - 14

Invite for Interview
Hourly Rate: $50.00
Experience: 4+ yrs
Python: 4+ yrs
Deep learning: 4+ yrs
Machine learning: 4+ yrs
Natural language processing: 4+ yrs
Docker: 3+ yrs
Kubernetes: 2+ yrs
Engineer's Devices:

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:

Experiences     AI Developer     Developer     Employment
Oct 2017 - Present

  • Conversational Bot: Built NER module for chatbot using natural language processing and python.
  • Built translation module for English to Thai using machine learning and deep learning.
  • Built natural language generation module for generating FAQ questions.

Skills used: Deep learning, Machine learning, Natural language processing, Python

London Stock Exchange Group     Text Summarization, FXT Dealing     Lead NLP Data Scientist     Employment
Jan 2021 - Present

  • Summarise Earning Call Transcripts to help Analysts gather quick and precise information. Used Python and deep learning for NLP. Productionized the code using docker containers.
  • Extract attributes for foreign exchange trading using machine learning. Used machine learning to identify and extract attributes.

Skills used: Machine learning, Docker, Deep learning, Python

Reliance JIO     Senior Data Scientist     Developer     Employment
Nov 2018 - Jan 2021

  • AIDoctor: Used natural language processing techniques to extract the medical entities. Designed AIDoctor.
  • QuestionAnswering for Factoid questions using machine learning and deep learning
  • Built a reading comprehension on disease data. Enhancing retail search. Deployed it using Kubernetes and Docker.

Skills used: Machine learning, Kubernetes, Natural language processing, Deep learning, Docker


Biju Pattnaik University of Technology Biju Pattnaik University of Technology    B.Tech  (Computer Science)
Jul 2008 - Jul 2012