Quantum Computing • Quantitative Finance • Deep Tech
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rune Technology
Software Engineer
June 15, 2026 – Present
Technical_RAG_Chatbot
May 16, 2025 – May 16, 2025
This project implements an advanced Retrieval Augmented Generation (RAG) chatbot designed to answer questions based on a fixed set of technical documentation PDFs. It leverages local LLMs via Ollama and incorporates several techniques to improve response quality, ensure factual grounding, provide detailed references, and minimize hallucinations.
View ProjectUNIX-File-System-Calls
June 6, 2022 – June 6, 2022
Simple command-line program for demonstrating filesystem syscalls.
View ProjectQC_Compiler_Test
February 3, 2021 – February 8, 2021
QC_Compiler_Test — GitHub repository
View Projectqiskit-metal
November 12, 2020 – Present
Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
View ProjectQuantum-Animation
September 30, 2020 – October 2, 2020
Some animations made using manim , showing quantum algorithms in action.
View Project2020
September 7, 2020 – October 7, 2020
Repository with notebooks for Qiskit Challenge India 2020
View ProjectSimple_chain
February 22, 2020 – December 7, 2022
A simple approach towards blockchain using js node
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards cutting-edge technologies, particularly in quantum computing and AI/ML (RAG chatbot). The diversity of personal projects, including open-source contributions (qiskit-metal), suggests a proactive and curious individual. The target role of Data Scientist aligns well with the Python and AI/ML skills demonstrated. However, the lack of team-based project descriptions or professional experience details makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles in a team setting.