- π Actively looking for Frontend / Backend / Full-Stack Developer roles (0β2 yrs), open to Delhi NCR & remote
- ποΈ Building AuditFlow, a multi-agent AI system that reviews audit evidence, routes exceptions and produces review-ready workpapers
- π€ Built SignalScout AI, a B2B prospecting agent that validates data and fact-checks its own LLM-written outreach before anything is sent
- πΌ Recently worked as a Content Management Analyst at WPP (Microsoft account) and as a freelance AI Trainer (RLHF) at Outlier
- π Currently learning advanced Next.js topics
- π± Comfortable across the stack: React, Next.js, TypeScript, Node.js, Express, PostgreSQL, Prisma, MongoDB
SignalScout AI: B2B prospecting agent that checks its own claims (live beta, invite-only)
It validates and deduplicates company records before any paid enrichment, then verifies every number in LLM-written outreach against cited facts and suppresses any draft that fails.
- Benchmarked baseline vs improved pipelines on 10 real records: drafts with citation violations fell from 4 to 0 and model cost dropped from $0.0272 to $0.0194, traced end to end with neatlogs
- Shipped on Vercel with hashed invite codes, per-IP rate limits, record and call caps and a database kill switch, backed by 829 Vitest tests
- Next.js, React, TypeScript, PostgreSQL, Tailwind CSS, Anthropic API, Crustdata API
| Project | Description |
|---|---|
| AuditFlow (live) | Autonomous audit-evidence review with 5 AI agents, evidence-backed exception routing and review-ready workpapers |
| ContractCommander | Multi-agent contract risk analysis (Commander, 5 specialist agents, Critic, Aggregator) that outputs a 0β100 risk score. React, Node/Express, Prisma, Neon Postgres, Docker |

