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Ram Jayesh Parekh
Junior Data Analyst specializing in ML, NLP, and cloud data pipelines
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About
Built and deployed a GenAI-powered PhD career intelligence platform at NYU that maps academic backgrounds to career paths and converts long academic CVs into job-ready resumes. Stands out for treating LLM systems as structured production pipelines—combining NLP extraction, embeddings, orchestration, and AWS deployment—to improve recommendation quality and cut resume preparation time by 70%.
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Key Strengths
- Built and deployed a production GenAI career intelligence platform at NYU
- Strong LLM systems architecture using structured extraction and orchestration
- Expertise handling messy unstructured document data
- Designed scalable AWS backend services for concurrent workloads
- Improved resume preparation time by 70%
- Focus on controlled AI workflows over naive free-form generation
- Practical evaluation mindset using latency, reliability, quality, and user feedback metrics
- Experience translating non-technical stakeholder needs into AI product logic
- Iterative recommendation quality improvement through feedback loops
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