Hruthik Pavarala

Data Scientist

https://talent.gravityer.com/hruthik-pavarala

IndiaMember since June 16, 2026

Key Strengths

Strong foundational experience in Reinforcement Learning (RL) and Deep Learning (DL) as evidenced by multiple projects related to personalized glycemic control and insulin dosage systems.
Demonstrated ability to apply machine learning techniques to real-world biomedical problems (e.g., T1D management, pneumonia detection).
Proficiency in Python, a core language for Data Science, used across most projects.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to advanced concepts like Cohort-Aware Ensemble RL, Conversational RAG, and Local LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on machine learning and data science, particularly in the biomedical domain, which aligns well with a Data Scientist role. The diversity of projects, including participation in an ML challenge and a hackathon, indicates a proactive and collaborative approach. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit beyond technical alignment.

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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Assessing your cultural and operational fit

Projects

Enterprise-Knowledge-Assistant-with-Conversational-RAG-and-Local-LLMs

June 6, 2026 – Present

Enterprise-Knowledge-Assistant-with-Conversational-RAG-and-Local-LLMs — GitHub repository

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demoproject

May 29, 2026 – Present

demoproject — GitHub repository

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MAJOR-A-Cohort-Aware-Ensemble-RL-Framework-for-Personalized-Glycemic-Control

March 28, 2026 – Present

This project implements a Personalized Closed-Loop Artificial Pancreas system for Type 1 Diabetes (T1D) management. The system uses Reinforcement Learning (RL) to learn optimal continuous insulin dosing strategies for different patient cohorts (children, adolescents, adults) without relying on meal announcements.

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amazon_ml_challenge_2025

October 11, 2025 – October 14, 2025

we(siddhartha pittala , veda swaroop ,hruthik krishna) attempt to solve amazon ml problem 2025 in this repo

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Expenese-Management

October 4, 2025 – October 4, 2025

This repo is created to serve as a base for storing code to the Expense-Management problem statement for Odoo Hackathon on 04 th oct 2025

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MINI02_sac_agent-for-diabetes-management-Re-Inforcement_learning-clg-server

September 6, 2025 – Present

MINI02_sac_agent-for-diabetes-management-Re-Inforcement_learning-clg-server — GitHub repository

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Personalized-Insulin-dosage-system-using-Re-inforcement-Learning

July 26, 2025 – September 17, 2025

Personalized-Insulin-dosage-system-using-Re-inforcement-Learning — GitHub repository

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CineBridge

June 8, 2025 – June 9, 2025

A unified movie discovery platform that integrates multiple OTT services, allowing users to search, stream, and maintain a single watchlist across all platforms.

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Residual-Hybrid-Deep-Learning-Approach-for-Personalized-Insulin-Dose-Estimation

April 20, 2025 – Present

Residual-Hybrid-Deep-Learning-Approach-for-Personalized-Insulin-Dose-Estimation — GitHub repository

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Pneumonia_detection_using_feature_level_ensemble

October 10, 2024 – Present

Pneumonia_detection_using_feature_level_ensemble — GitHub repository

View Project

Key Strengths

Strong foundational experience in Reinforcement Learning (RL) and Deep Learning (DL) as evidenced by multiple projects related to personalized glycemic control and insulin dosage systems.
Demonstrated ability to apply machine learning techniques to real-world biomedical problems (e.g., T1D management, pneumonia detection).
Proficiency in Python, a core language for Data Science, used across most projects.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to advanced concepts like Cohort-Aware Ensemble RL, Conversational RAG, and Local LLMs.

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.

Hruthik Pavarala

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit