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Sailesh Kumar Kishorekumar Lekha
Intern Software Engineer specializing in cloud, full-stack, and AI systems
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About
Built a production LLM-assisted workflow for customer configuration data migrations, combining agentic parsing with deterministic validation and fail-safe pipeline design. Stands out for turning messy ERP and operational data into reliable, repeatable transformations while improving accuracy and cutting manual effort by more than 80%.
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Key Strengths
- Built production LLM-assisted data migration workflow
- Reduced manual effort by 80%+
- Designed fail-safe, deterministic pipelines
- Strong handling of messy real-world data and edge cases
- Schema-driven validation and structured output design
- Record-level isolation to prevent full pipeline failures
- Monitoring and feedback-loop driven reliability improvements
- Safe ERP integration with idempotency and simulate-before-execute controls
- Owned end-to-end customer data migration (discovery through post-launch stabilization)
- Improved pipeline reliability by shifting from fail-fast to validate/isolate/continue processing
- Designed robust validation layers (API response shape checks, normalization rules) to catch issues early
- Implemented structured error categorization and logging to make failures predictable and traceable
- Built resilience patterns (skip/quarantine malformed records) to prevent single-record failures from blocking runs
- Debugged intermittent production issues by comparing failed vs successful runs and isolating upstream schema inconsistencies
- Used LLMs in a bounded/offline workflow to accelerate development of parsing/validation logic, then hardened into deterministic code
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Experience
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3 publications
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