Arvind Devaraj

AI Researcher

Bengaluru, Karnataka, India7 yrs 8 mos experience

Key Highlights

Achieved All India Rank 7 in GATE Computer Science exam.
Extensive experience in deploying machine learning models in production.
Developed scalable analytics systems for over 100K users.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a strong software engineering background.

Contact

lsmehra007@yahoo.com LinkedIn

Skills

Core Skills

Machine LearningNatural Language ProcessingData EngineeringData ScienceSoftware EngineeringComputer Architecture

Other Skills

Agile MethodologiesAlgorithmsAndroidApacheApplication Programming InterfacesC++DatabasesDebuggingDesign PatternsDevice DriversETL pipelinesEmbedded SystemsGPU optimizationGitHigh performance computing

About

Strong understanding of Computer Science and Machine Learning. Secured All India Rank 7 ( out of 53,000 aspirants ) in GATE Computer Science exam. Demonstrated record of success taking products from conceptual stage to production. Interested in applying Data Science for Business problems Data Science End to End experience of implementing Machine learning models in production. Familiar with several supervised and unsupervised ML algorithms. Python Extensively coded scripts for EDA and ETL processing. Familiar with libraries like Pandas, Numpy and Scikit-learn NLP Worked on text analytics using pretrained models like word2vec and BERT. Have a good understanding of neural networks and deep learning for NLP Databases Familiar with both relational and NoSQL databases. Built a data warehouse for automating the Business Intelligence system.

Experience

Juspay

Data Science Consultant

Mar 2023 – Present · 3 yrs · Bengaluru, Karnataka, India · On-site

Rippey ai

ML and NLP Consultant

Aug 2021 – May 2022 · 9 mos

Built an end-to-end NER system using a fine-tuned Transformer model (RoBERTa-base) to
extract structured information from unstructured documents.

NER systemTransformer modelRoBERTa-baseMachine LearningNatural Language Processing

Embibe

Lead Data Scientist

Jul 2018 – Aug 2020 · 2 yrs 1 mo

Built a comprehensive NLP pipeline using transformer models to process large collections
of documents. The system performs Named Entity Recognition (NER), semantic search,
extractive summarization, and question answering to enable intelligent document
understanding and retrieval.

NLP pipelinetransformer modelsNamed Entity Recognitionsemantic searchextractive summarizationquestion answering+2

Be limitless inc

Lead Engineer

Jun 2013 – May 2016 · 2 yrs 11 mos · Bangalore

Founding engineer responsible for building Python-based analytics systems supporting
over 100K users. I designed and implemented scalable backend services, ETL pipelines,
and an early data lake infrastructure.

Pythonanalytics systemsETL pipelinesdata lake infrastructureData EngineeringData Science