Help & Supportcareers@gravityer.com
Lead Systems Architect (12 YOE) | Building high-throughput distributed systems & IoT data pipelines | Python, Go, Rust, eBPF & Linux Internals.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
swifttopology
June 13, 2026 – Present
A high-performance, hardware-aware system observability tool. Maps CPU topology (NUMA, Caches, Cores) with real-time performance metrics (IPC, Cache Misses) using Deep-System eBPF (CO-RE) and a Rust-based Ratatui TUI
View Projecttsastat
March 11, 2026 – Present
Thread State Analysis tool using Linux Netlink taskstats
View Projectxdp-ai-guard
February 13, 2026 – Present
A high-performance Denial-of-Service (DoS) filter for AI Inference servers, written in Rust using eBPF/XDP.
View Projectsharded-timing-wheel
January 23, 2026 – Present
A cache-aware, hierarchical timing wheel implementation based on Varghese & Lauck (1987)
View Projectsparrow
December 21, 2024 – December 21, 2024
An experimental programming language written in Rust
View Projectdjango-react-todoapp
July 24, 2018 – August 11, 2018
A Practical Introduction to using Django Rest Framework with React
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards deep technical challenges and system-level programming, primarily in Rust. While this demonstrates a proactive and self-driven learning attitude, the projects are heavily backend/system-focused. The target role is 'Frontend Developer', which suggests a potential mismatch in primary interest areas, though the 'django-react-todoapp' project indicates some frontend exposure. The diversity of projects is high in terms of technical depth but narrow in terms of frontend-specific applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.