An Experimenter, in general
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
calmdxbench
June 11, 2026 – Present
A benchmark for evaluating whether AI assistants can provide symptom-related diagnostic guidance while maintaining emotional safety and preventing panic-driven action.
View Projectprobabilistic-digital-twin
April 30, 2026 – Present
Probabilistic human digital twin research scaffold for drug response simulation
View Projecteconomic-supply-chain-ai-graph
April 28, 2026 – Present
An MVP on understanding the supply-chain within semiconductors, tech platforms, AI infrastructure, hardware, robotics, cloud, software, and major demand sources.
View ProjectRAG-grounding-eval
April 23, 2026 – Present
A reproducible evaluation of how frontier LLMs handle grounded vs. ungrounded questions in RAG systems — measuring correctness, grounding, and calibrated refusal.
View Projectrl-edu-simulator
April 3, 2026 – Present
This project is a tiny Streamlit app for learning the difference between: - the **environment** changing because an action happened - the **agent** learning from the consequence of that action The app is intentionally explicit and inspectable. It does not hide values behind deep helper layers.
View Projectpolylogue
January 20, 2026 – Present
A language learning app through alphabets and characters to poetry
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research and development in AI/ML, particularly in areas like RAG systems, reinforcement learning, and AI ethics. This indicates a potential fit for roles requiring innovation and a deep dive into emerging technologies. The diversity of projects, from AI benchmarks to language learning apps, suggests a broad intellectual curiosity. However, without professional experience or team-based project details, assessing cultural fit beyond technical interest is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to articulate technical concepts, but there is no direct assessment of collaboration, problem-solving under pressure, or communication in a team setting.