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Bismanpal Anand
Entry-level Software Engineer specializing in distributed systems and agentic AI
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About
Full-stack and AI product engineer who has shipped both operational SaaS and LLM-powered research tools to production. Built a dispatch optimization system at Quickflora that cut manual effort by ~50%, and also developed grounded RAG and agentic systems using tools like LlamaIndex, Gemini, pgvector, and FastAPI with a strong emphasis on citations, reliability, and practical user workflows.
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Key Strengths
- End-to-end full-stack product ownership
- Built production dispatch optimization workflow used across 50+ stores
- Reduced manual dispatch effort by about 50%
- Strong TypeScript-driven API and data model design
- Systems integration across Supabase, internal APIs, Google Maps, and Python services
- Performance optimization through SQLite caching
- Production RAG architecture with page-level citations
- Focus on grounded AI responses and hallucination reduction
- LLM evaluation using fixed-query regression testing
- Thoughtful human-in-the-loop AI product decisions
- Designed planner-judge agent architecture for ambiguous search problems
- Able to operate effectively in early-stage, low-process environments
- Built production React dashboards end-to-end
- Strong component architecture around business workflows
- Thoughtful state management and API layer separation
- Performance optimization for large tables and 10k+ datapoints
- TypeScript-driven domain modeling for safer refactors
- Owned full-stack metrics dashboard across frontend, backend, and data layer
- 0→1 product building in startup environment
- Shipped SaaS platform used by multiple stores
- Improved dispatch operations for thousands of daily deliveries
- Balances speed vs quality with focus on reliable backend contracts
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Experience
Education
Awards
Skills
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Publications
10 publications
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