
ML Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SRM
Software Engineer
June 15, 2026 – Present
ResearGent
May 27, 2026 – Present
A multi-agent research engine that grounds every answer in citable evidence — Corrective-RAG with a strict Critic and self-reflection, automatic arXiv/Semantic-Scholar + web fallback, and a live 3D agent dashboard. Bring your own LLM.
View ProjectMultiAgentTA
May 5, 2026 – Present
Multi-agent AI paper-trading system. Backtests 6 quant strategies on 100 US tickers, executes monthly rebalances on Alpaca, with a real-time React dashboard. Built with FastAPI, TimescaleDB, Redis, and Prefect.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven projects, many of which involve AI/ML and multi-agent systems. While this demonstrates initiative and a passion for technology, the direct alignment with a pure 'Frontend Developer' role's typical day-to-day tasks and collaborative environment is not explicitly clear. The diversity of projects suggests a broad interest rather than a focused specialization, which could be a fit for dynamic environments but might require more focused development for a specific frontend role. The experience level of 0 and a single current role with no specified skills make it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric test results or detailed project descriptions to infer these qualities.