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I'm Prashanth, an AI Analyst/Engineer who translates business goals into scalable AI solutions. I bridge stakeholders, product, and technical teams to define AI use cases, gather requirements, and craft implementation roadmaps for GenAI-powered systems including recommendation, retrieval, and conversational apps. I specialize in feasibility analysis, AI governance, guardrails, privacy, and human-in-the-loop reviews to deliver responsible, production-ready AI in Agile environments.…I'm Prashanth, an AI Analyst/Engineer who translates business goals into scalable AI solutions. I bridge stakeholders, product, and technical teams to define AI use cases, gather requirements, and craft implementation roadmaps for GenAI-powered systems including recommendation, retrieval, and conversational apps. I specialize in feasibility analysis, AI governance, guardrails, privacy, and human-in-the-loop reviews to deliver responsible, production-ready AI in Agile environments.

Prashanth Jamalapurapu

AI Developer, Data Scientist, Data Analyst, +2

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I'm Prashanth, an AI Analyst/Engineer who translates business goals into scalable AI solutions. I bridge stakeholders, product, and technical teams to define AI use cases, gather requirements, and craft implementation roadmaps for GenAI-powered systems including recommendation, retrieval, and conversational apps. I specialize in feasibility analysis, AI governance, guardrails, privacy, and human-in-the-loop reviews to deliver responsible, production-ready AI in Agile environments.…I'm Prashanth, an AI Analyst/Engineer who translates business goals into scalable AI solutions. I bridge stakeholders, product, and technical teams to define AI use cases, gather requirements, and craft implementation roadmaps for GenAI-powered systems including recommendation, retrieval, and conversational apps. I specialize in feasibility analysis, AI governance, guardrails, privacy, and human-in-the-loop reviews to deliver responsible, production-ready AI in Agile environments.

Available to hire

I’m Prashanth, an AI Analyst/Engineer who translates business goals into scalable AI solutions. I bridge stakeholders, product, and technical teams to define AI use cases, gather requirements, and craft implementation roadmaps for GenAI-powered systems including recommendation, retrieval, and conversational apps. I specialize in feasibility analysis, AI governance, guardrails, privacy, and human-in-the-loop reviews to deliver responsible, production-ready AI in Agile environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Founder and AI Developer at Friendzy LLC

February 1, 2026 - Present

Founded and led an AI-driven startup, translating user and stakeholder requirements into GenAI-powered app features for housing, events, academic support, and peer connections. Defined AI use cases, workflow requirements, and feature priorities; evaluated when to deploy LLMs, agentic workflows, retrieval pipelines, or deterministic logic based on business goals, latency, privacy, and scalability. Created guardrails, prompt safety, role-based access, and human-in-the-loop review plans; developed stakeholder-facing docs and implementation roadmaps; collaborated in Agile sprints with engineering and product teams to plan, prioritize, and deliver AI features.

Generative AI Engineer at HCA

January 1, 2026 - Present

Developed LLM-based clinical summarization and documentation automation systems using Transformer architectures, prompt engineering, RAG pipelines, and controlled inference. Implemented secure IAM, multi-tenant, privacy-aware AI services; built predictive models for readmission risk and patient deterioration; designed NLP pipelines for EHR notes; deployed ML lifecycle with MLflow and CI/CD; orchestrated multi-agent workflows with LangChain and LangGraph.

Data Scientist / AI Engineer at Saint Louis University

March 1, 2024 - January 31, 2026

Partnered with researchers to translate goals into AI specs, developed LLM/RAG and analytics-based AI solutions, and documented non-functional requirements (privacy, security, observability, scalability). Supported AI governance and guardrail planning and produced technical docs to align business and development teams.

Machine Learning Engineer at Hike

June 1, 2021 - December 31, 2023

Collaborated with stakeholders to identify high-impact AI/ML opportunities, built production-ready AI workflows for recommendation and retrieval, and designed scalable event-driven architectures. Implemented LangChain-based agentic AI workflows, REST API services, and AWS/Azure-based ML infrastructure; contributed to Agile deployment and documentation.