Aditya Hriday Rath

Data Scientist

https://talent.gravityer.com/aditya-hriday-rath

AI/ML engineer focused on building scalable, production-grade machine learning systems using DL, NLP and Graph ML.

G2.com

Key Strengths

Demonstrated proficiency in Python, JavaScript, and related web technologies through personal projects.
Experience with machine learning concepts (Transfer Learning, adaptive inference frameworks) as shown in AURORA and TransferLearningNLP projects.
Familiarity with containerization (Dockerfile) and scripting (Shell, Lua).
Exposure to C++ and Makefile for system-level programming.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong interest in self-driven learning and exploration across various technologies. However, the lack of team-based or open-source contributions makes it difficult to assess collaboration and broader cultural fit within a professional team setting. The single professional experience listed is current and recent, offering limited historical context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

AURORA

December 31, 2025 – Present

AURORA (Audio Routing of Robust Architectures) is an adaptive inference framework for environmental sound classification. It overcomes the fixed computational cost of standard Transformers by introducing a **Foreman-Worker** architecture.

View Project

flowtype

December 6, 2025 – Present

flowtype — GitHub repository

View Project

dotfiles

November 26, 2025 – November 26, 2025

My terminal dotfiles setup

View Project

Visitor-Tracking

June 14, 2025 – June 18, 2025

Visitor-Tracking — GitHub repository

View Project

University-Exams

April 13, 2025 – April 22, 2025

University-Exams — GitHub repository

View Project

TransferLearningNLP

March 27, 2025 – March 27, 2025

TransferLearningNLP — GitHub repository

View Project

CC_Monolith

January 28, 2025 – January 28, 2025

CC_Monolith — GitHub repository

View Project

uno_game

January 26, 2025 – January 26, 2025

uno_game — GitHub repository

View Project

Portfolio

January 7, 2025 – January 7, 2025

Portfolio — GitHub repository

View Project

TheAditya700

January 6, 2025 – December 15, 2025

TheAditya700 — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python, JavaScript, and related web technologies through personal projects.
Experience with machine learning concepts (Transfer Learning, adaptive inference frameworks) as shown in AURORA and TransferLearningNLP projects.
Familiarity with containerization (Dockerfile) and scripting (Shell, Lua).
Exposure to C++ and Makefile for system-level programming.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Aditya Hriday Rath

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit