ProblemEarly-stage teams manage their SaaS stack through scattered spreadsheets, shared password vaults, and half-read PDF invoices — credentials, spend, and renewals all live in different silos.

SolvedBuilt a complete SaaS operations platform: AES-256-GCM credential vault, invoice workflow with OCR + LLM autofill and approval chains, spend analytics, renewals calendar, and a GPT-4o-mini assistant for natural-language queries over live data.

ProblemIndia's 100,000+ startups can't afford specialist counsel, and general-purpose LLMs hallucinate legal authority — commercial legal AI tools show 17–33% hallucination rates. Advice built on an invented section or repealed provision causes real regulatory damage.

SolvedBuilt a citation-grounded RAG assistant over a maintained corpus of 47,867 Indian legal documents (Companies Act 2013 + nine further statutes). Hybrid BM25 + lexical retrieval fused with weighted Reciprocal Rank Fusion, source-constrained generation with Claude, and every answer carrying inline citations, confidence badges, and limitation statements.

ProblemTraditional HRMS systems lack intelligent automation for recruitment, employee analytics, and HR support queries.

SolvedBuilt a comprehensive HRMS with AI-powered resume parsing, candidate-job matching, interview assistant, and RAG-based HR chatbot for instant support.

ProblemAnalyzing financial reports and market trends is time-consuming for researchers.

SolvedCreated an AI assistant that extracts key financial metrics, sentiment, and risks from public filings and news.