Tushar Jayendra Mhatre

About

AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.

Key Strengths

• Built and deployed an agentic AI healthcare/lifestyle recommendation backend with multi-agent architecture
• Designed LLM guardrails for clinically sensitive supplement recommendations (dosage limits, contraindications)
• Implemented privacy/security measures for sensitive health data (anonymization, encryption)
• Established measurable evaluation using 500+ SME-labeled user profiles as ground truth (NDCG, precision/recall, diversity)
• Iterative reliability improvement via prompt engineering and hallucination reduction techniques
• Effective collaboration with non-technical medical SMEs; explains RAG and data curation using clear analogies

Reference Highlights

• Extremely resourceful
• Strong architectural thinking; builds for system-wide integration (not one-off components)
• Thorough consideration of front end, back end, data, APIs, compliance, cloud, and scalability
• Patient and kind with non-technical/domain experts
• Confident in stakeholder interactions
• Well-prepared for meetings and discussions
• Multifaceted; effectively covers TPM/PM responsibilities alongside engineering
• Clear and decisive communicator
• Communication backed by empirical evidence
• Thoughtful and measured; thinks before speaking
• Thrives with autonomy; performs well without micromanagement

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