Suchith Chidananda Prabhu

Data Scientist

https://talent.gravityer.com/suchith-chidananda-prabhu

Deep Learning enthusiast.

Indian Institute of Technology

Key Strengths

Extensive personal project experience in Machine Learning and Natural Language Processing, particularly in areas like LLM compression, extreme classification, and RLHF.
Demonstrated proficiency in Python and Jupyter Notebook for data science and ML development.
Experience with advanced ML concepts such as Byte Pair Encoding, Memory Augmented Encoders, and Graph-based recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on research-oriented and complex ML problems, which aligns well with an innovative data science environment. The breadth of personal projects indicates self-motivation and a proactive learning approach. However, the lack of team-based project descriptions or professional experience details makes a comprehensive cultural fit assessment challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

maggi

April 3, 2026 – Present

Domain Knowledge driven compression of LLMs

View Project

upma

December 13, 2025 – Present

Updatable Parametric Memory Augmented Encoders

View Project

cachew

April 14, 2025 – July 4, 2025

Encoder models with memory

View Project

scratchRLHF

March 15, 2025 – March 20, 2025

RLFH from scratch

View Project

mogicX

March 7, 2025 – Present

Extended MOGIC

View Project

sugar

November 9, 2024 – Present

Extreme classification dataset scripts

View Project

mogic

October 21, 2024 – May 17, 2025

METADATA-INFUSED ORACLE GUIDANCE FOR IMPROVED EXTREME CLASSIFICATION

View Project

minbpe

October 17, 2024 – October 17, 2024

Byte Pair Encoding Algorithm

View Project

XNLI

November 27, 2022 – November 27, 2022

XLM-R used for the XNLI task.

View Project

GraphAmazonProducts

July 24, 2022 – August 2, 2022

This is a code base for creating a product-to-product recommendation dataset for Extreme classification.

View Project

Key Strengths

Extensive personal project experience in Machine Learning and Natural Language Processing, particularly in areas like LLM compression, extreme classification, and RLHF.
Demonstrated proficiency in Python and Jupyter Notebook for data science and ML development.
Experience with advanced ML concepts such as Byte Pair Encoding, Memory Augmented Encoders, and Graph-based recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Suchith Chidananda Prabhu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit