Ankit Yadav

About

Backend engineer who shipped a Spring Boot transactions/points feature while using AI selectively for boilerplate and test ideas, keeping core system design decisions in human hands. Stands out for rigorous validation of AI output against database behavior, concurrency, idempotency, and failure scenarios, and has also built a lightweight planner -> code gen -> validator agent-style pipeline with step-level logging and retries.

Key Strengths

• Designs backend flows independently
• Strong edge-case and failure-path thinking
• Concurrency and idempotency awareness
• Careful manual review of AI-generated code
• Validates logic against real DB behavior
• Builds guarded multi-step agent pipelines with validation and retries
• Prioritizes debuggability and control in AI tooling decisions
• Strict code review focused on real-world behavior
• Built LLM-powered log summarization workflow for anomaly detection
• Reduced manual triage time by ~30-40%
• Production-minded reliability design with retries, fallbacks, and traceability
• Structured-output design for predictable downstream processing
• Modular multi-step orchestration inspired by microservices pipelines
• Experience applying distributed systems patterns from Apple via Infosys
• Handled messy operational data with validation, normalization, and idempotent APIs
• Improved output reliability through stricter input filtering and JSON enforcement

Experience

Education

Awards

• 2 RISE awards - Infosys
• Official client appreciation

Skills

Languages