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Aspiring Quant Dev with experience in C++ and Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Vulcan
April 18, 2026 – Present
A High-Performance Core of a Low-Latency Trading Engine (Tick-to-Trade system) built from ground up to run on Linux and specific AMD Ryzen 5600H to act as a deterministic pipeline
View ProjectQuantSim-Toolkit
October 5, 2025 – Present
A Python-based quantitative simulation and analysis toolkit that integrates probability simulations, stock return analysis, portfolio risk calculations, and Monte Carlo methods. It represents a production-grade quantitative research platform implementing institutional-grade trading strategies with enterprise reliability.
View ProjectlinuxCheatsheet_CLI
August 16, 2025 – October 5, 2025
a Linux command cheatsheet CLI tool in Python with built in Subnet Calculator
View Projectgobank
June 4, 2025 – June 8, 2025
A banking application backend with JWT Auth, Postgres and containerized in Docker
View Projectstocker
February 22, 2025 – May 16, 2025
An application to get stock market insights for fundamental and technical analysis
View Projectinvoicepro
June 5, 2024 – October 6, 2024
An invoice management software build using Django
View Projectvendorr
May 1, 2024 – May 19, 2024
A Vendor Management System with Performance Metrics built using Django
View Projectjobkarle
March 11, 2024 – April 8, 2024
An online job board where employers can post jobs and jobseekers can apply to them
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards backend development, system programming, and quantitative analysis, with minimal explicit frontend experience (only basic HTML/CSS/JavaScript mentioned in a few Django projects). This indicates a significant mismatch with the 'React Frontend Engineer' target role. While the breadth of technologies is good, the depth in frontend-specific skills is not evident. The candidate's experience level is listed as 0, which further suggests a lack of professional experience relevant to the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.