Independent Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
quport
May 9, 2026 – Present
QuPort is a production-ready Python and Qiskit toolkit for modeling, mapping, routing, splitting, scheduling, and benchmarking quantum circuits on modular multi-QPU machines.
View Projectqbalance
April 26, 2026 – Present
A workflow toolkit for balancing quantum compilation, suppression, and mitigation choices over a dataset of quantum circuits.
View Projectdervflow
October 30, 2025 – Present
A Lightweight, High-Performance Mathematics & Quantitative Finance Toolkit.
View Projectminitensor
September 2, 2025 – Present
A Lightweight, High-Performance Tensor Operations Library.
View Projectmoneyclip
August 29, 2025 – November 1, 2025
Multi-currency personal finance, envelope budgeting, and portfolio CLI.
View ProjectWordAtlas
August 20, 2025 – August 21, 2025
Interactive semantic maps (WordNet) via CLI and web
View ProjectLLM-Distillation
January 30, 2025 – July 14, 2025
A concise demonstration of how to distill a Large Language Model Teacher into a Smaller Language Model Student using Knowledge Distillation and Reinforcement Learning.
View Projectrl-gridworld
December 10, 2024 – June 8, 2025
Implementing a Reinforcement Learning (RL) approach using Deep Q-Networks (DQN) to navigate an agent through a GridWorld environment, optimizing its path to goals while avoiding obstacles.
View Projectvariational-quantum-classifier
December 7, 2024 – December 7, 2024
A demonstration of a Variational Quantum Classifier for binary classification using PennyLane, featuring data generation, quantum circuit encoding, gradient-based training, and visualization of performance metrics.
View Projectbalance
November 15, 2022 – Present
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-driven learning and exploration mindset. The diversity of projects, from quantum computing to finance and language processing, indicates intellectual curiosity. However, the lack of team-based or professional project experience makes it difficult to assess collaboration and cultural alignment within a corporate setting. The candidate's experience level is 0, which suggests a need for mentorship and integration into a team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.