Prafull Sharma
Senior Data Scientist
Paris
Summary
With experience managing ML-powered products for IBM, Siemens, and Amadeus, as well as startups in Europe and Asia, I have a proven track record in international environments. My open-source NLP contributions and widely-cited research paper (11k+ downloads) underscore my expertise. I have experience in developing language models from scratch and am passionate about open-source projects.
Overview
9
9
years of professional experience
Work History
Senior Data Scientist
Knowdis.ai
8 2021 - Current
- Leading Product development of AI products related to diverse domains: such as E-commerce, and AdTech domains.
- Communicated with C-level executives from the client (Big MNCs) side, understanding their tech needs and requirements
- Usecases - Search Engines using NLP, (and multimodal models), Recommendation engines, Search Query attribute extraction, Search Question understanding. Search query typo correction etc.
- Leading the development of Own in-house Large multi million parameter Language Models from scratch (Pretraining from scratch) for AdTech and E-commerce domain.
- Developed generative language model (Decoder based) models for AdTech domain and E-commerce domain (Developed both, own pretrained model as well as Latest LLMs, Mixtral, Flan, Instruction tuned LLMs)
- Developed Search engine, and recommendation models using Transformers based multimodal LLMs.
- Developed RAG based engines using LlamaIndex, LangChain, OpenAI assist, and in-house proprieary RAG scheme for domain augmentation.
- Deployment - Lead the deployments of LLMs in production, quantisation and speed optimisation of models.
Head of Engineering (AI and Product)
Mieux.ai
12.2021 - 12.2022
- Mieux.ai is a Paris and UK based startup specializing in developing content solutions (Text, Video generated Data Using AI)
- Developed Generative Language models for generating SEO optimised content for Product catalogs, Langing Pages, Google Ads, Facebook Ads.
- Joined as an Early co-founding member as Head of Engineering and tech for the AI product suite
- Managed and grew tech team from 3 to 15 Data Scientists, and frontend engineers from scratch
- Created technical specifications and helped execute them to realize the product
- Helped in the scaling of AI models and infrastructure to make the product stable and production ready.
Senior Data Scientist (AdTech)
Naister SaS
04.2019 - 07.2021
- Lead development of data science features in Product
- Owner for Client product-related communications - UK, and US clients
- Led full-stack and Data Science team for product development
- Understanding client requirements and creating solutions around them in communication with upper management
- Hired and managed a tech team of data scientists, and UX designers for the development of SaaS products
- Published an open-source tech on NLP Keyword Extraction which served as a source technology for popular Python NLP package KeyBERT and BERTopic
- Title - 'Self-Supervised Contextual Keyword and Keyphrase Retrieval with Self-Labelling'
Research Asst - Machine Learning
Amadeus France
09.2018 - 02.2019
- Machine learning solution development for Flight Search Engine Product
- GBM, Random forest, Decision tree models based model for improving the flight-search product
- Feature Engineering & selection for developing machine learning solutions
- Skills used - Machine learning, Python, Numpy, Pandas, Sklearn, H2O.ai, Flask Hadoop
- Search Engine Recommendation Scoring and Ranking using Machine Learning, Deep Learning.
Software engineer
SIEMENS
01.2017 - 02.2018
- Developed question-and-answer cognitive chatbot using LSTM, encoder-decoder architecture, NLP, Deep learning concepts, and Rasa NLU for Human Machine Interface(HMI) product
- Developed Text classification model for Log Data, and customer interaction data
- Test Driven development with unit testing of modules to ensure performance
- Front-End Development and back-end integration of models
- Skills used - Python, HTML, CSS, Tensorflow.
Software Engineer - Python, Big Data
IBM
05.2015 - 12.2016
- Migrated large volumes of data from Traditional Databases to Hadoop Ecosystem
- Extracted the data from other data sources into HDFS using Sqoop
- Handled importing of data from various data sources, performed and worked on cloud data orchestrator
- Developed Churn Model Machine Learning Solution for IBM's clients.
Education
MSc in Applied Data Science & Artificial Intelligence -
DSTI
ParisSkills
Python
Pytorch
NLP
AWS
Model Deployments
Timeline
Head of Engineering (AI and Product)
Mieux.ai
12.2021 - 12.2022
Senior Data Scientist (AdTech)
Naister SaS
04.2019 - 07.2021
Research Asst - Machine Learning
Amadeus France
09.2018 - 02.2019
Software engineer
SIEMENS
01.2017 - 02.2018
Software Engineer - Python, Big Data
IBM
05.2015 - 12.2016
Senior Data Scientist
Knowdis.ai
8 2021 - Current
MSc in Applied Data Science & Artificial Intelligence -
DSTI
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