
MCSR Dev | Go, Rust, C and Python | Technology Apprentice @ Morgan Stanley
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
sathya-pramodh.github.io
July 8, 2025 – July 11, 2025
My Neovim-like portfolio website in Vite + React + TypeScript
View ProjectAdvent-Of-Code
December 1, 2024 – February 5, 2025
My solutions to Advent of Code Problems
View ProjectAppUsageAnalyzer
November 16, 2024 – November 16, 2024
An Android App to log app-usage statistics
View ProjectE2E-RAG
June 21, 2024 – July 12, 2024
Repository to follow along with the RAG Workshop conducted by Harsh Singhal Sir at RIT.
View ProjectRailway-Manager
June 9, 2024 – June 29, 2025
A mock website for a real-time railway ticket management system.
View Projectpacemanbot
November 20, 2023 – Present
A Discord bot to query paceman.gg, ping pace-roles and assign pace-roles to users.
View Projectlinux-mcsr
April 27, 2023 – Present
A documentation repository to help setting up Linux for MCSR
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, covering a wide range of technologies and problem domains (from Discord bots to system utilities and web development), indicates a strong passion for technology and continuous learning. This aligns well with a culture that values initiative and self-improvement. The 'E2E-RAG' project shows an interest in AI/ML, which is relevant to a Data Scientist role, suggesting a potential fit for data-driven teams. However, the majority of projects are personal, and there's no information on collaborative work or team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach. The diversity of personal projects suggests curiosity and a willingness to explore different technologies. 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.