Krish Shah

Data Scientist

https://talent.gravityer.com/krish-shah-4

MSCS @gatech • BSCE @ BU

New York City, New York, United States

Key Strengths

Demonstrated proficiency in Python, C++, and JavaScript across multiple projects.
Experience with data analysis and machine learning concepts, as seen in 'foodaccess-atl', 'nba-fantasy-backtest', and 'quorum'.
Projects like 'calyxos' and 'finance-fft' indicate an understanding of performance optimization and parallel computing.
Exposure to AI agent development and collective learning layers ('agent-findings', 'quorum', 'ai-intel').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and demonstrate a strong interest in AI, data science, and automation. The diversity of technologies and project types suggests an adaptable and curious individual. However, the lack of team-based or professional projects makes it difficult to fully assess cultural fit in a collaborative work environment. The target role 'Data Scientist' aligns well with the technical themes of several projects.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

agent-findings

June 9, 2026 – Present

Cross-session collective learning layer for Claude Code and Codex agents

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clik

June 6, 2026 – Present

A complete Claude Code setup: enable once for every project (skills, review agents, safety + real-time code-graph hooks); /clik [context] tailors any repo to its domain.

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ai-intel

June 5, 2026 – Present

A self-writing AI intel wiki — Claude routines write twice-daily briefs to a markdown vault, with ntfy alerts, CI health checks, and a desktop reader (dashboard · graph · files).

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quorum

May 23, 2026 – Present

Autonomous paper-trading harnessed entirely through Claude Code — a council of analyst subagents debates, reaches a quorum, and trades. Educational, simulated paper account, no LLM API keys. Use at your own risk.

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foodaccess-atl

March 14, 2026 – Present

An interactive dashboard for healthy, affordable food discovery in Atlanta.

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nba-fantasy-backtest

March 7, 2026 – Present

nba-fantasy-backtest — GitHub repository

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calyxos

December 13, 2025 – Present

Reactive computation graph for Python. Cache results, track dependencies, only rerun what changed. SQLite persistence for sharing state across AI agent subprocesses.

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finance-fft

April 28, 2025 – April 28, 2025

Parallelized radix-2 FFT in C with OpenMP, applied to financial signal analysis of stock log returns

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ec527-fft

March 24, 2025 – March 24, 2025

ec527-fft — GitHub repository

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AICoffee-Machine

October 27, 2024 – May 2, 2025

AICoffee-Machine — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python, C++, and JavaScript across multiple projects.
Experience with data analysis and machine learning concepts, as seen in 'foodaccess-atl', 'nba-fantasy-backtest', and 'quorum'.
Projects like 'calyxos' and 'finance-fft' indicate an understanding of performance optimization and parallel computing.
Exposure to AI agent development and collective learning layers ('agent-findings', 'quorum', 'ai-intel').

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.

Krish Shah

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit