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Shubham Singh
Mid-level AI/ML Engineer specializing in speech, computer vision, and agentic GenAI
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About
Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.
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Key Strengths
- Built and deployed a production multi-agent voice conversational system for older adults’ daily health tasks
- Designed persistent per-user memory (rolling summary, key facts, recent turns) to maintain context across sessions without context bloat
- Latency optimization on Cloud Run via optimized embedding retrieval pipeline
- Robust handling of noisy user input using preprocessing + intent classification + clarification on low confidence
- Production-grade agent orchestration with routing, state storage, fallback logic, and traceability for debugging
- Reliability-focused evaluation approach: defined metrics, guardrails, synthetic/real test suites, simulations, monitoring dashboards, and A/B tests
- Effective collaboration with non-technical stakeholders (caregivers, elderly users, health officials) and communicated model outputs with dashboards and SHAP
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