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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AgentGuard-MCP
May 13, 2026 – Present
AgentGuard MCP is a local policy firewall for AI coding agents. It helps developers use Claude Code, Codex, Cursor, Copilot, and MCP tools without exposing secrets, private files, shell access, or unsafe browser automation.
View Projectsentinal-eval
April 15, 2026 – Present
A production-style evaluation and red-team platform for LLM systems that tests groundedness, hallucination, prompt-injection resistance, refusal behavior, policy compliance, bias, and regression drift across model and prompt versions.
View ProjectinferX
April 14, 2026 – Present
A production-style inference platform for serving LLMs with streaming, batching, caching, quantization-aware benchmarking, and full observability for latency, throughput, and cost.
View Projectregintel-ai
April 6, 2026 – Present
A production-grade LLM system that ingests clinical and regulatory documents, retrieves grounded evidence, generates traceable summaries, flags risk-relevant statements, and maintains a full audit trail for high-stakes environments.
View ProjectCultural Fit Analysis
The candidate's projects are highly focused on AI/LLM development, which indicates a strong interest and expertise in this niche. The projects are all personal, suggesting a proactive and self-driven individual. However, the lack of diverse project types or team-based experience makes it difficult to fully assess broader cultural fit or collaboration preferences. The target role 'Software Engineer' is broad, and the candidate's specialization might be a strong fit for AI-focused engineering roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.