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Vetted Distributed Tracing Professionals
Pre-screened and vetted.
Akshay Amudhan
Entry Machine Learning Engineer specializing in quantitative finance and DeFi
“Built and deployed a production RAG chatbot using a vector database + LangChain-orchestrated pipeline, focusing on grounded, context-aware responses. Demonstrates practical trade-off thinking (retrieval quality vs latency/cost), hallucination control, and iterative improvement through logging, manual review, and stakeholder feedback loops.”
Anjali Chepuri
“Built and deployed an LLM-powered financial document processing and summarization platform at Morgan Stanley using a production RAG pipeline (PDF ingestion, embedding-based retrieval, schema-constrained JSON outputs) delivered via FastAPI microservices on Kubernetes. Drove measurable impact (40% reduction in manual review time) and improved factual accuracy for numeric fields by 30% through metadata-aware retrieval, strict schemas, and post-generation validation, with a human feedback loop from financial analysts.”
TejasPramod Chaudhari
“Built an internal compliance automation platform that transformed manual PO/invoice checking into an AI-assisted review workflow, cutting human effort dramatically from 160 hours/week to 10 hours/week. Also integrated OpenAI for invoice-related workflows, internal chat, and retrieval/summarization of older MSDS and audit documents, with experience bridging technical decisions to executive stakeholders.”