chandankumar ramamurthy

About

Built multiple systems from scratch at DSSD and Aglint, including an NGO sustainability reporting dashboard and a production LLM-powered phone screening agent using Twilio/Retell AI with RAG grounded in PostgreSQL candidate/job data. Strong focus on real-world reliability: guardrails, monitoring, and lightweight eval/regression loops that reduced recruiter score overrides by ~30%. Currently on OPT through May 2026 (plans STEM OPT extension) and committed to relocating to NYC for in-person work; seeking $90k–$120k base with meaningful equity for founding engineer roles.

Key Strengths

• Owned and shipped products end-to-end from zero codebase/spec
• Data-driven product iteration using analytics (PostHog) and user feedback
• Performance-oriented database design for read-heavy dashboards (denormalization tradeoff)
• Built and shipped production LLM voice screening agent with RAG grounded in live candidate/job data
• Implemented robust LLM guardrails (fallback prompting, schema validation, confidence thresholds, human review)
• Operational monitoring and rapid production fixes (e.g., Twilio timeout tuning, retry logic for parse failures)
• Lightweight but effective LLM eval/regression loop using saved production conversations; reduced recruiter overrides ~30%
• Designed reliable resume ingestion pipeline with validation, DLQ handling, observability, and idempotency

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