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Product leader building at the intersection of AI and product management. Exploring multi-agent systems, knowledge architectures, and AI-native SaaS.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
birbal
October 4, 2025 – Present
AI-powered Indian legal section predictor (BNS) using LangGraph multi-agent workflow + Supabase pgvector
View Projecttrippy3.0
October 2, 2025 – Present
AI trip planner v3 — production deployment with real APIs (Google Maps, Tavily, Passport Index). Part 3 of 3.
View Projecttrippy2.0
October 2, 2025 – Present
AI trip planner v2 — multi-city, 9 agents, tool abstraction layer (mock + real). Part 2 of 3.
View Projecttrippy
September 30, 2025 – Present
AI trip planner v1 — LangGraph multi-agent foundations (4 agents, single-city). Part 1 of 3.
View Projectsuperchat
July 26, 2025 – Present
RAG-powered AI chatbot with multi-source knowledge ingestion (CSV, PDF, web scraping, sitemaps). Full retrieval-augmented generation pipeline.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong initiative and self-learning capability, particularly in emerging AI/ML domains. The diversity of projects, from AI trip planners to legal predictors and RAG chatbots, indicates a broad interest in problem-solving and technology application. However, the target role is 'React Frontend Engineer', and while JavaScript/TypeScript are present, specific React experience is not explicitly detailed in the project descriptions or technologies. This suggests a potential misalignment or a need for further validation of frontend-specific skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.