sensei: AI code review that learns your team's style.
An open-source CLI (on PyPI) I built that learns how your team reviews code and posts inline, confidence-routed comments on GitLab merge requests: high-confidence issues get flagged, low-confidence ones stay quiet. Paired with mr-principle-review-agent (npm), which enforces team-specific coding principles on every MR. Together they save ~5 hours/week of manual review.
Stack: Python, LLM APIs, GitLab CI, agentic workflows.
Code: github.com/pulkit004/sensei
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FinSense - AI-Powered NPA Prevention Platform for Banking
AI-powered, post-disbursement loan health monitoring system built for SBI-scale banking use cases. Continuously monitors borrower financial behavior after loan disbursement, scores risk on a 0–100 scale across 4 tiers using XGBoost with SHAP-based explainability, and deploys a conversational AI agent to proactively engage at-risk borrowers 60–90 days before default — instead of only scoring creditworthiness at application time like traditional systems.
Built the FastAPI backend (loan, risk, agent, and dashboard routers), automated risk re-scoring via Celery + Redis, and real-time dashboard updates via WebSockets, with a React + Tailwind frontend for officer-facing risk visualization.
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