Divit Mittal

Data Scientist

https://talent.gravityer.com/divit-mittal

Qezta

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with deep semantic segmentation and LiDAR sensor data processing in the CARLA-Autonomous-Driving project, relevant for computer vision and sensor fusion in data science.
Involvement in the DocAssist-LLM project, indicating exposure to Large Language Models (LLMs) and RAG architectures, which are advanced topics in modern data science.
Strong inclination towards reproducible environments and declarative configurations using Nix, which can be beneficial for managing complex data science pipelines and environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and highly focused on system configuration, automation, and niche development environments (Nix, Emacs, Vim, custom keyboard layouts). While this demonstrates deep technical curiosity and self-sufficiency, it suggests a potential preference for highly individualized workflows. The alignment with a typical collaborative data science team environment requires further validation. The current experience level (0) and single current role with a future start date make it difficult to assess cultural fit based on professional experience.

Soft Skills & Operational Fit

The candidate's project portfolio suggests a strong drive for automation, reproducibility, and optimization, which are valuable traits. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

firefox-nixCfg

June 30, 2025 – Present

A declarative Firefox configuration using Nix home-manager, designed for enhanced performance, a streamlined UI, and powerful automation

View Project

hammerspoon-nix

June 24, 2025 – Present

A nix home-manager module for hammerspoon & my personal lua hammerspoon configuration

View Project

Emacs-Cfg

May 28, 2025 – Present

An elisp GNU Emacs configuration for Doom for OS-nixCfg via nix home-manager module, i.e., nix-doom-emacs-unstraightened

View Project

Vim-Cfg

April 2, 2025 – Present

Neovim & vim configurations for OS-nixCfg deployed via nix home-manager

View Project

CARLA-Autonomous-Driving

December 1, 2024 – Present

Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness

View Project

TLTR

September 19, 2024 – Present

Cross-platform multi-layer keyboard layout tailored for programmers

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OS-nixCfg

April 16, 2024 – Present

nix (via nix-darwin, nixos, nix-on-droid, home-manager, etc.) declarative configurations to attain my deterministically reproducible layer

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DocAssist-LLM

February 22, 2024 – Present

RAG-enhanced LLaMa-like transformer neural network based LLM for assistance on programming languages/frameworks' documentations.

View Project

sync-windows

January 27, 2024 – Present

~/.* (Windows)

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DivitMittal

January 24, 2022 – Present

Repository to setup GitHub profile.

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with deep semantic segmentation and LiDAR sensor data processing in the CARLA-Autonomous-Driving project, relevant for computer vision and sensor fusion in data science.
Involvement in the DocAssist-LLM project, indicating exposure to Large Language Models (LLMs) and RAG architectures, which are advanced topics in modern data science.
Strong inclination towards reproducible environments and declarative configurations using Nix, which can be beneficial for managing complex data science pipelines and environments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Divit Mittal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit