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Rushir Bhavsar
Intern AI/ML Engineer specializing in LLMs, MLOps, and distributed training
Scientific AI Development Intern1 years experienceInternTechnologySemiconductorsArtificial Intelligence
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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.
Experience
Scientific AI Development InternCadence Design Systems
Founding AI Engineering InternTalin Labs Inc
Software Engineering InternGIOSTAR.AI
Education
Arizona State Universitymaster, Data Science, Analytics and Engineering (2025)
Nirma Universitybachelor, Computer Science and Engineering (2023)
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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