Chetan Chhabra

Data Scientist

India8 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 6 years of experience in Deep Learning and NLP.
Developed India's indigenously developed Language Translation System.
Expertise in Generative AI and Semantic Search.

Stackforce AI infers this person is a SaaS expert specializing in Deep Learning and Natural Language Processing.

Contact

chetanchhabra1401@gmail.com LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Generative AiSemantic SearchMachine TranslationDeep Learning

Other Skills

Sentence TransformersAmazon Titan Embedding ModelsTransformersBERTPython (Programming Language)Agentic AIstatistical methodsAnthropic ClaudeScientific ComputingNumerical OptimizationNumerical AnalysisLong Short-term Memory (LSTM)BERT (Language Model)Retrieval-Augmented Generation (RAG)Artificial Intelligence (AI)

About

More than 6 years of work experience in Deep Learning an ad NLP. Worked on Semantic Search & Retrieval , Content based Recommendation system , Virtual Assistant leveraging GenAI and LLM , Extractive Question and Answer System , Machine Translation. Contributed to Anuvaad , India's indigenously developed Language Translation System Key Areas : Machine Learning, Data Science, Deep Learning, Natural Language Processing, Data Structures, Algorithms, Optimization Methods

Experience

Thoughtworks

2 roles

Senior Data Scientist

Nov 2021 – Present · 4 yrs 5 mos

Virtual Assistant using Claude :
Developed GenAI based virtual assistant for recommending exhibitors and
their products
Claude as Large Language Model along with Langchain framework was used.
SentenceTransformer and Amazon Titan Embedding Models were used to develop embeddings of the corpus
Semantic Search and Information Retrieval:
Candidate generation : Implemented Asymmetric Semantic Search and Retrieval over corpus of thousands of exhibitors and products data for B2B marketplace platform
Content based similarity search : Sentence Transformers were implemented to develop embeddings of context and query
Retriever and Re-Ranker: Bi-Encoder was used to retrieve exhibitors, Cross-Encoder was used for Re-Ranking the final results

Generative AINatural Language Processing (NLP)

Data Scientist

Mar 2019 – Nov 2021 · 2 yrs 8 mos

Machine Translation using Deep Learning and Natural Language Processing
◦ Developed English to Hindi Machine Translation System using attention based sequence to sequence learning models
Question and Answer System
◦ Developed information extraction based Question and Answer System using BERT-based Deep Learning models

TransformersMachine TranslationNatural Language Processing (NLP)