Kiran Prakash K.
AI/ML Engineer | Generative AI & Multi-Agent Systems | LLMs | RAG | MLOps | GCP | AWS | CrewAI | Google ADK | Langchain | Building Autonomous AI Workflows | Open to AI/ML Roles (US & Remote)
- Role
- Ai Ml Engineer Distributed Ai Systems Llms & Multi-agent Systems Healthcare Ai Mlops & Rag at Physicianx
- Location
- Buffalo, NY, US
- LinkedIn followers
- 500 followers
About Kiran Prakash K.
Passionate AI/ML Engineer with 4+ years of experience building Generative AI systems, multi-agent workflows, and scalable ML pipelines across healthcare, edtech, and enterprise domains.At PhysicianX, I engineer agentic AI frameworks using CrewAI, Google ADK, and Gemini, automating complex data ingestion and semantic search pipelines on GCP — cutting latency by 40% and costs by 20%. Previously at Infosys, I developed predictive and NLP-driven systems that accelerated decision-making, boosted user engagement by 40%, and reduced deployment cycles by 30%.I specialize in transforming advanced research into production-grade, high-throughput systems using LLMs, RAG, reinforcement learning, and MLOps. I thrive at the intersection of Generative AI, automation, and cloud-native deployment, helping organizations operationalize AI at scale. Tech Stack: Python, TensorFlow, LangChain, CrewAI, RAG, GCP, AWS, MLOps, Airflow, Docker, Kubernetes, GitHub Actions, Pinecone Domains: Healthcare AI, EdTech, Intelligent Automation, Data InfrastructureLet’s connect if you’re hiring for innovative AI teams — I build autonomous, production-ready AI systems that deliver measurable business impact. Let’s Connect Email: k••••••••@gmail.com GitHub: github.com/kiranprakash-kp LinkedIn: linkedin.com/in/kiranprakashkm Open to full-time opportunities in AI/ML Engineering, Generative AI, and MLOps (US & Remote). Building the next generation of autonomous AI systems powered by GenAI, Agents, and Reinforcement Learning.
Experience
Ai Ml Engineer Distributed Ai Systems Llms & Multi-agent Systems Healthcare Ai Mlops & Rag
Dec 2024 — Present · Buffalo, NY, US
Architected a distributed healthcare AI platform on GKE using Temporal microservices and autonomous multi-agent workflows, processing 100+ activities/sec and 10K+ documents/day with 99% reliability.• Designed and deployed Generative AI and LLM-driven systems delivering clinical insights and improving decision-making speed by ~30%.• Built scalable RAG-based knowledge retrieval pipelines for patient and clinical data analysis, enhancing actionable intelligence and analytics workflows.• Developed production-grade MLOps pipelines for model deployment, monitoring, CI/CD automation, and cloud integration using Kubernetes and Docker.• Engineered a large-scale physician job data pipeline using dynamic SPA crawling, API/XHR interception, and Gemini-powered extraction, generating 176K+ structured records across 45+ attributes.• Led cross-functional AI integration initiatives and mentored engineers on LLM fine-tuning, cloud AI architectures, and scalable ML system design.Tech Stack: Python, PyTorch, TensorFlow, LangChain, OpenAI APIs, Gemini, Kubernetes, Docker, GCP, Temporal, SQL, REST APIs
Education
University at Buffalo
Master of Science - MS, Management Information Systems, General
Velammal Institute Of Technology
Bachelor of Engineering - BE
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