Aman

Data Scientist

https://talent.gravityer.com/aman-9

All for the love of the game!

Stealth 🦄

Key Strengths

Demonstrated strong interest and practical experience in AI/ML, particularly in multi-agent systems, causal reasoning, and simulation, which aligns well with a Data Scientist role.
Extensive personal project portfolio showcasing diverse applications of data science principles, including GNNs, persistent homology, LLMs, and physics simulations.
Proficiency in Python and TypeScript, key languages for data science and MLOps.
Experience with tools like Jupyter Notebook, Docker, and various web technologies indicates a full-stack data science capability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal projects demonstrate a strong passion for technology and continuous learning, which can be a positive cultural fit. The projects are highly diverse, indicating adaptability and a broad interest in different domains. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data from completed tests to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive and innovative approach to problem-solving.

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

causa

May 25, 2026 – Present

Causal reasoning for incident response — proves root cause via counterfactual experiments on a learned SCG. Pearl do-calculus + LangGraph + Gemini 2.5 Pro.

View Project

LatentSpec

May 1, 2026 – Present

Discover behavioral invariants from AI agent traces. Prove them with Z3. Block regressions inline.

View Project

Martian-Regolith-Physics-Simulation-Model

April 30, 2026 – Present

Interactive Mars simulation for humanoid robot pretraining: MuJoCo physics + procedural Mars terrain (canyons, craters, dust).

View Project

AutoAEO

April 29, 2026 – Present

AI-search optimization for Shopify - connect a store and ship a machine-readable layer (/llms.txt, schema markup, AEO sections) with one click, gated by per-change human approval.

View Project

somaiyadatingcrash

April 14, 2026 – Present

somaiyadatingcrash — GitHub repository

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bloom

April 10, 2026 – Present

🌸 Plant kindness, grow together — a 3D voxel earth where you plant affirmation flowers

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TopoPhase

April 9, 2026 – Present

Real-time Topological Quantum Phase Transition Detector - Monte Carlo simulation + persistent homology + GNN + React dashboard

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OpenPersonaSimulation

April 4, 2026 – Present

LLM-powered multiagent persona simulation for A/B testing Ad Campaigns.

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Agent-ID

March 26, 2026 – Present

Cryptographic identity for AI agents. One line. Permanent. Unfakeable.

View Project

Agent-Captcha

March 26, 2026 – Present

Captcha for AI agents

View Project

Key Strengths

Demonstrated strong interest and practical experience in AI/ML, particularly in multi-agent systems, causal reasoning, and simulation, which aligns well with a Data Scientist role.
Extensive personal project portfolio showcasing diverse applications of data science principles, including GNNs, persistent homology, LLMs, and physics simulations.
Proficiency in Python and TypeScript, key languages for data science and MLOps.
Experience with tools like Jupyter Notebook, Docker, and various web technologies indicates a full-stack data science capability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data from completed tests to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive and innovative approach to problem-solving.

Aman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit