AntiDote

Data Scientist

https://talent.gravityer.com/antidote

CTF Player and Technophile | Student at SASTRA University

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest in low-level programming and systems with projects like 'ml-llvm-project' (C++, LLVM, Assembly) and 'VexIR2Vec' (Python, C++, Jupyter Notebook, Shell).
Experience with multiple programming languages including C++, Python, JavaScript, and Assembly.
Exposure to machine learning concepts through 'VexIR2Vec' and 'IPL-2021-Predictor'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards technical exploration and self-directed learning, which can be a positive cultural fit for roles requiring initiative. The diversity of projects (low-level systems, ML, networking) suggests adaptability. However, without professional experience or team-based project descriptions, assessing collaboration and broader cultural alignment is limited.

Soft Skills & Operational Fit

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

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

VexIR2Vec

June 20, 2025 – Present

Implementation of VexIR2Vec. Scalable Program Embeddings for Binary Codes.

View Project

dns-load-balancer

January 2, 2023 – January 2, 2023

Async python Load Balancer with NodeJS DNS server

View Project

RaghulPS32

January 2, 2023 – January 2, 2023

RaghulPS32 — GitHub repository

View Project

raghul32

August 30, 2021 – August 30, 2021

Config files for my GitHub profile.

View Project

ml-llvm-project

June 6, 2021 – March 29, 2025

ml-llvm-project — GitHub repository

View Project

IPL-2021-Predictor

April 19, 2021 – February 7, 2022

Predicting IPL Scores

View Project

Key Strengths

Demonstrated interest in low-level programming and systems with projects like 'ml-llvm-project' (C++, LLVM, Assembly) and 'VexIR2Vec' (Python, C++, Jupyter Notebook, Shell).
Experience with multiple programming languages including C++, Python, JavaScript, and Assembly.
Exposure to machine learning concepts through 'VexIR2Vec' and 'IPL-2021-Predictor'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

AntiDote

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit