Greeshma Koyithatta Meethaleveedu

Lead ML Engineer

Bengaluru, Karnataka, India11 yrs 7 mos experience

Key Highlights

Expert in Natural Language Processing and Machine Learning.
PhD in High Energy Physics with extensive research experience.
Proven track record in developing AI solutions for data analysis.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Natural Language Processing.

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Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)Statistical Modeling

Other Skills

Unsupervised LearningProbabilityNLPData AnalyticsAnalyticsText MiningResearch and Development (R&D)NLTKDocker ProductsPycharmSciPyTensorFlowRecurrent Neural Networks (RNN)Neural NetworksArtificial Intelligence (AI)

About

An experienced data scientist skilled in Natural Language Processing, Statistical Data Modeling, Predictive Analytics, and communicating new insights. Passionate about tech, machine learning, engineering, and solving problems at scale with ML and data. . Data Scientist / ML Engineering, Feynman.ai . Visiting Researcher (Data Science), European Council for Nuclear Research, CERN, Geneva . PhD, High Energy Physics (Data Science), IIT Bombay, CERN . MS, Theoretical and Mathematical Physics, IIT Bombay

Experience

11 yrs 7 mos

Total Experience

Average Tenure

Current Experience

Hinge health

2 roles

Senior ML Engineer

Promoted

Aug 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Machine Learning Engineer

Mar 2023 – Aug 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Verse innovation

Senior Machine Learning Engineer

Sep 2021 – Jan 2023 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Data ScienceMachine Learning

Feynman.ai

Data Scientist - AI Fellow

Mar 2021 – Aug 2021 · 5 mos

engineered end-to-end AI-solutions to search-rank best candidates for a job and vice-versa
developed algorithms for information extraction from resumes and job descriptions
used NLP techniques such as Named Entity Recognition and Text Embeddings extensively

Unsupervised LearningProbabilityNatural Language Processing (NLP)Machine Learning

Indian institute of technology, bombay

2 roles

Teaching Assistant

Jan 2011 – Jun 2014 · 3 yrs 5 mos

Solid-state physics lab (undergrad students)
Nuclear physics and instrumentation lab course (masters students)

Graduate Research Assistant, Experimental High Energy Physics, Varma Group

Jul 2010 – Feb 2017 · 6 yrs 7 mos

Thesis: Path length dependence of parton energy loss in the deconfined medium created at LHC.
performed the first measurement of '2+1' multi-particle correlation coefficients for the ALICE experiment at LHC
developed the codebase for '2+1' correlations which is committed to the ALICE Open Source AliRoot.

Cern

2 roles

Visiting Researcher, Data Science/Analysis

Promoted

Aug 2010 – Feb 2017 · 6 yrs 6 mos · Geneva, Switzerland

designed algorithms for multi-particle correlation analysis of PBytes of collision data
developed simulation studies in collaboration with the EHEP group at Yale University
the codebase developed is committed to the ALICE Open Source Library AliRoot
collaborated with researchers at CERN for analysis of Time Projection Chamber data
performed particle discrimination studies using Monte Carlo simulations for the Photon Multiplicity Detector

ProbabilityData ScienceStatistical Modeling

Visiting Researcher

Aug 2010 – Dec 2010 · 4 mos · Geneva, Switzerland

Photon Multiplicity Detector Group - studied particle discrimination Monte Carlo simulations as a part of the test beam team for the Photon Multiplicity Detector prototype at CERN.
Event Visualisation and Scanning of Data from Time Projection Chamber in ALICE, CERN.
Supervisor: Dr. Panagiota FOKA, GSI - Helmholtzzentrum fur Schwerionenforschung, GmbH