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Guruprasad Parasnis
Junior AI/Data Engineer specializing in LLM systems and computer vision
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About
AI-native software engineer who uses agentic development as a core workflow, including a three-agent setup for planning, validation, and implementation. In their most recent role, they acted as the lead orchestrator for AI agents, with a strong emphasis on production safety, architectural control, and rigorous validation.
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Key Strengths
- Structured multi-agent development workflow
- Human-in-the-loop oversight of AI-generated code
- AI agent leadership and orchestration
- Production risk analysis and validation
- System design and architecture judgment
- Strong habit of testing and quality control
- Proactive tracking of AI trends and frontier research
- End-to-end ownership across frontend, backend, and data layers
- Cross-layer debugging of workflow/status reliability issues
- Performance optimization via caching and lazy detail fetching
- Strong testing discipline with pytest and Mockito
- Built decision-intelligence workflows for order and procurement operations
- UX improvement driven by heuristic analysis and user feedback
- Able to ship quickly under ambiguity using prototypes and iterative feedback
- Created reusable API abstractions from repeated product patterns
- Designed configurable multi-tenant workflow platforms with guardrails
- Improved customer workflow speed by 40%
- Reduced manual QA by 60%
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Experience
Education
Awards
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Publications
5 publications
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