I am a Generative AI Engineer with 4+ years of experience architecting large-scale AI platforms that leverage LLMs, RAG, multi-agent systems, and distributed data processing frameworks. I’ve delivered production-grade AI solutions using Lang Chain, Lang Graph, MCP, Kafka, Fast API, and vector databases to enable intelligent automation, knowledge retrieval, and decision-support across enterprise environments. My core strengths include AI infrastructure, agent orchestration, and scalable backend systems. I recently designed a HIPAA-compliant healthcare intelligence platform processing 10M+ patient records to enable real-time patient history retrieval and clinical decision support, and I built autonomous multi-agent workflows across EHR systems, internal APIs, and healthcare data services.

Mukesh Padireti

I am a Generative AI Engineer with 4+ years of experience architecting large-scale AI platforms that leverage LLMs, RAG, multi-agent systems, and distributed data processing frameworks. I’ve delivered production-grade AI solutions using Lang Chain, Lang Graph, MCP, Kafka, Fast API, and vector databases to enable intelligent automation, knowledge retrieval, and decision-support across enterprise environments. My core strengths include AI infrastructure, agent orchestration, and scalable backend systems. I recently designed a HIPAA-compliant healthcare intelligence platform processing 10M+ patient records to enable real-time patient history retrieval and clinical decision support, and I built autonomous multi-agent workflows across EHR systems, internal APIs, and healthcare data services.

Available to hire

I am a Generative AI Engineer with 4+ years of experience architecting large-scale AI platforms that leverage LLMs, RAG, multi-agent systems, and distributed data processing frameworks. I’ve delivered production-grade AI solutions using Lang Chain, Lang Graph, MCP, Kafka, Fast API, and vector databases to enable intelligent automation, knowledge retrieval, and decision-support across enterprise environments.

My core strengths include AI infrastructure, agent orchestration, and scalable backend systems. I recently designed a HIPAA-compliant healthcare intelligence platform processing 10M+ patient records to enable real-time patient history retrieval and clinical decision support, and I built autonomous multi-agent workflows across EHR systems, internal APIs, and healthcare data services.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Javanese
Advanced

Work Experience

AI/ML Engineer at MCG Health
August 1, 2024 - Present
Designed a HIPAA-compliant healthcare intelligence platform processing 10M+ patient records and clinical documents, leveraging Kafka, FastAPI, Lang Chain, PostgreSQL, and vector databases for real-time patient history retrieval and clinical decision support. Built a distributed ingestion pipeline using Kafka and worker orchestration to parse, chunk, embed, and index millions of EHR records, achieving 99.9% processing reliability. Implemented a production-grade Retrieval-Augmented Generation (RAG) framework integrating clinical guidelines, physician notes, lab reports, discharge summaries, and medication histories to streamline chart reviews. Orchestrated a multi-agent healthcare intelligence system using Lang Graph and MCP to autonomously coordinate chart reviews, lab analysis, medication verification, and knowledge retrieval across EHRs and APIs.
Backend Developer at ZOHO
May 1, 2022 - July 1, 2023
Developed core backend services for a customer engagement and workflow automation platform supporting thousands of daily customer interactions. Implemented RESTful APIs for lead management, ticket processing, notifications, and third-party integrations. Created Kafka-driven asynchronous workflows and Celery pipelines for email notifications, report generation, CRM synchronization, and scheduled background jobs processing over 500K events daily.

Education

Master of Science in Computer Science at University of South Florida, Tampa, FL
January 11, 2030 - June 29, 2026
BE in Computer Science at R.M.D. Engineering College, Chennai
January 11, 2030 - June 29, 2026
Master of Science in Computer Science at University of South Florida, Tampa, FL
January 11, 2030 - June 29, 2026
BE in Computer Science at R.M.D Engineering College, Chennai
January 11, 2030 - June 29, 2026
Master of Science in Computer Science at University of South Florida, Tampa, FL
January 11, 2030 - June 29, 2026
Bachelor of Engineering in Computer Science at R.M.D. Engineering College, Chennai
January 11, 2030 - June 29, 2026

Qualifications

Microsoft Certified: Azure AI Engineer
January 11, 2030 - June 29, 2026
IBM AI Engineering Professional Certificate
January 11, 2030 - June 29, 2026
Microsoft Certified: Azure AI Engineer
January 11, 2030 - June 29, 2026
IBM AI Engineering Professional Certificate
January 11, 2030 - June 29, 2026
Microsoft Certified: Azure AI Engineer
January 11, 2030 - June 29, 2026
IBM AI Engineering Professional Certificate
January 11, 2030 - June 29, 2026

Industry Experience

Healthcare, Software & Internet, Professional Services, Life Sciences