Devarsh Sheth

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Proven track record in AI/NLP at leading companies.
Expertise in developing chatbots and generative AI applications.
Strong background in machine learning and language technology.

Stackforce AI infers this person is a skilled AI/NLP professional with a focus on language technology solutions.

Contact

Skills

Core Skills

Large Language Models (llm)Generative AiNatural Language ProcessingMachine Learning

Other Skills

AlgorithmsApache graphData ScienceGitJavaKerasLogistic RegressionNLPNaive BayesNumPyProgrammingPythonSVMSoftware DevelopmentTF-IDF

About

Experienced AI/NLP professional with a proven track record at leading companies like Google and Sprinklr. Skilled in developing a range of language technology solutions, including chatbots, content analysis tools, machine translation systems, and generative AI applications. Passionate about leveraging the power of AI to enhance communication and create seamless user experiences.

Experience

Google

2 roles

Senior Software Engineer

Feb 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

Large Language Models (LLM)

Senior Software Engineer (L5), ML

May 2022 – May 2023 · 1 yr · Hyderabad, Telangana, India

Stealth startup

Vice President of Artificial Intelligence

May 2023 – Dec 2023 · 7 mos

Generative AILarge Language Models (LLM)

Sprinklr

5 roles

VP - Engineering

Promoted

Feb 2022 – May 2022 · 3 mos

Senior Director - Machine Learning

Promoted

Aug 2019 – Jan 2022 · 2 yrs 5 mos

Lead Machine Learning Engineer

Promoted

Sep 2018 – Aug 2019 · 11 mos

Machine Learning Engineer

May 2017 – Sep 2018 · 1 yr 4 mos

Focused on creating deep learning models using Keras for sentiment classification at both entity level and message level and created specific models for top companies in Finance, Healthcare, FMCG, Technology etc. industries across social channels.
Implemented graph algorithms (Page Rank, Louvain etc.) in a distributed manner on the Twitter social graph for profile level insights using Apache graph.
Worked on different NLP and machine learning algorithms such as TF-IDF, SVM, Naive Bayes, Logistic Regression, XGBoost etc. for text classification.

Machine Learning Intern

Jan 2017 – May 2017 · 4 mos

Created social spam classification engine for removing Advertisements and Inappropriate Content messages posted on social networking sites for less clutter in multiple client environments.