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Bharath Kumar Talasila
Mid-level Full-Stack Developer specializing in cloud-native SaaS dashboards
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Built Nexthire-AI, shipping an end-to-end LLM-powered resume–job description matching product (React + Node.js) using embeddings and retrieval to generate match scores and skill-gap recommendations. Improved post-launch engagement by making feedback cleaner and more actionable, and added production guardrails (validation, timeouts, fallbacks) to handle messy resume formats and AI API instability.
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Key Strengths
- End-to-end ownership of LLM product features (API, backend, UI, launch, iteration)
- Pragmatic tradeoff decisions (external AI API vs custom model) to ship faster
- Improved product engagement by making AI feedback more actionable (skill gap analysis + suggestions)
- Built RAG-style workflow with embeddings and structured prompts for resume/JD matching
- Implemented production guardrails (validation, prompt templates, timeouts, fallbacks) for reliability
- Handled messy real-world text inputs via preprocessing/normalization and section extraction
- Iterated using evaluation loops with test sets and manual review to reduce generic outputs
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