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Rushir Bhavsar
Intern AI/ML Engineer specializing in LLMs, MLOps, and distributed training
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About
Founding AI engineer (June 2024) at Talon Labs who built and productionized an LLM-powered chatbot for interacting with proprietary supply-chain documents, deployed at large scale (25–100,000 users). Experienced with RAG/LLM orchestration (LangChain, LlamaIndex, Groq AI) and production ops tooling (Kubernetes, Docker, Kubeflow, Airflow), with a metrics-driven approach to evaluation, observability, and stakeholder alignment.
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Key Strengths
- Built and deployed an LLM chatbot for proprietary supply-chain documents at enterprise scale (25–100,000 users)
- Enterprise-grade deployment approach: containerized LLM API on cloud infrastructure with load balancing and high rate limits
- Strong evaluation mindset: defines success metrics across model, system, and business KPIs (latency/throughput/cost, user satisfaction, completion rate, error recovery)
- Designs modular architectures enabling component-level A/B testing without disrupting the pipeline
- Implements observability from day one (end-to-end logging, correlation IDs, decision-point tracking)
- Bridges technical constraints to non-technical stakeholders (explaining RAG tradeoffs like latency vs hallucinations vs model size)
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