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JP
Jeet Patel
Junior AI/ML Engineer specializing in cloud-native LLM systems and RAG
Boston, MAAI Extern1 years experienceJuniorArtificial IntelligenceCloud ComputingHealthcare IT
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About
AI/LLM engineer who has shipped production RAG copilots and multi-agent workflows, including a real-time Llama3 (Ollama) copilot backend handling 12k+ concurrent queries at 99.9% uptime. Deep on orchestration (Langflow/Airflow/Kubernetes), reliability evaluation (hallucination detection, p95 latency, token cost), and monitoring (Prometheus/Grafana), with demonstrated stakeholder-facing analytics delivery via Tableau.
Experience
AI ExternAGNTCY
AI ExternMassachusetts Institute of Technology
AI Software Engineer Co-opStellis Labs
Data Analytics ApprenticeshipNatureCulture LLC
Backend Software EngineerInstitute for Plasma Research
Education
Northeastern Universitymaster, Applied Machine Intelligence (2025)
Dharmsinh Desai Universitybachelor, Computer Engineering (2023)
Key Strengths
- Built and deployed real-time LLM copilot backend serving 12k+ concurrent queries with 99.9% uptime
- Reduced latency under high concurrency via async FastAPI endpoints and pipeline orchestration
- Improved maintainability and test coverage by 35% using Langflow-based agent/microservice orchestration
- Reliability-focused evaluation of agent workflows (p95 latency, hallucination/recall, token usage) with Prometheus/Grafana monitoring
- Implemented hallucination monitoring using retrieved-context fact checking against golden datasets with <95% match thresholding and corrective tuning
- Delivered measurable business impact: cut review time 60% and achieved ~1.8s inference
- Strong stakeholder collaboration: translated land trust manager needs into SQL/Python analysis and delivered Tableau dashboards with iterative feedback
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