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I am a Senior AI/ML Engineer with 8+ years of experience building agentic AI systems, RAG pipelines, and scalable ML platforms. I focus on delivering business impact through multi-agent orchestration, secure data access, and robust deployment pipelines, with a track record of up to 40% efficiency gains and 30%+ accuracy improvements across healthcare, enterprise SaaS, and analytics. I enjoy translating complex data and model outputs into practical decision-support tools, blending LLMs, retrieval augmentation, and data engineering to minimize hallucinations and maximize actionable insights for users.…I am a Senior AI/ML Engineer with 8+ years of experience building agentic AI systems, RAG pipelines, and scalable ML platforms. I focus on delivering business impact through multi-agent orchestration, secure data access, and robust deployment pipelines, with a track record of up to 40% efficiency gains and 30%+ accuracy improvements across healthcare, enterprise SaaS, and analytics. I enjoy translating complex data and model outputs into practical decision-support tools, blending LLMs, retrieval augmentation, and data engineering to minimize hallucinations and maximize actionable insights for users.

Yahya Pathan

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a Senior AI/ML Engineer with 8+ years of experience building agentic AI systems, RAG pipelines, and scalable ML platforms. I focus on delivering business impact through multi-agent orchestration, secure data access, and robust deployment pipelines, with a track record of up to 40% efficiency gains and 30%+ accuracy improvements across healthcare, enterprise SaaS, and analytics. I enjoy translating complex data and model outputs into practical decision-support tools, blending LLMs, retrieval augmentation, and data engineering to minimize hallucinations and maximize actionable insights for users.…I am a Senior AI/ML Engineer with 8+ years of experience building agentic AI systems, RAG pipelines, and scalable ML platforms. I focus on delivering business impact through multi-agent orchestration, secure data access, and robust deployment pipelines, with a track record of up to 40% efficiency gains and 30%+ accuracy improvements across healthcare, enterprise SaaS, and analytics. I enjoy translating complex data and model outputs into practical decision-support tools, blending LLMs, retrieval augmentation, and data engineering to minimize hallucinations and maximize actionable insights for users.

Available to hire

I am a Senior AI/ML Engineer with 8+ years of experience building agentic AI systems, RAG pipelines, and scalable ML platforms. I focus on delivering business impact through multi-agent orchestration, secure data access, and robust deployment pipelines, with a track record of up to 40% efficiency gains and 30%+ accuracy improvements across healthcare, enterprise SaaS, and analytics.

I enjoy translating complex data and model outputs into practical decision-support tools, blending LLMs, retrieval augmentation, and data engineering to minimize hallucinations and maximize actionable insights for users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer, Agentic AI & Healthcare RAG Systems at Ada Health

April 1, 2025 - Present

Architected an enterprise-grade multi-agent RAG platform using LangGraph and LangChain, enabling natural language querying of clinical datasets with 30%+ accuracy improvement. Built SQL-generation agents translating provider queries into optimized Snowflake SQL with RBAC enforcement and domain-specific logic. Developed MCP-based integrations for secure, structured access to healthcare data systems across EHR and analytics platforms. Designed PromptQL-driven workflows improving context grounding and reducing hallucinations by 25% in clinical decision support tools. Implemented FastAPI async services for real-time query routing, background job execution, and scalable inference with sub-100ms latency. Created automated data visualization pipelines using Plotly to generate charts, KPIs, and insights dynamically from query outputs. Defined domain schemas using JSON configurations for healthcare metrics, enabling scalable agent onboarding without modifying core orchestration. Led HIPAA-compl

Machine Learning Engineer, AI Systems & Distributed ML at Microsoft

June 1, 2020 - April 1, 2025

Developed distributed ML pipelines for large-scale AI workloads, improving model precision by 18% in high-performance environments. Built vector search and retrieval systems using FAISS and embeddings supporting low-latency querying across millions of records. Designed LLM augmentation systems for semantic query expansion and ranking optimization. Optimized inference pipelines using TensorFlow Serving and ONNX, reducing compute costs by 22%. Integrated streaming architectures using Kafka and Spark for real-time feature generation and analytics. Containerized ML services with Docker and Kubernetes, achieving 99.9% uptime in production systems. Conducted A/B testing and model evaluation to improve engagement metrics across AI-driven systems. Contributed to internal frameworks for LLM experimentation, evaluation, and deployment at scale.

Software Engineer, Data & Predictive Systems at A+

June 1, 2018 - May 1, 2020

Transitioned core frontend stack to React.js and React Native, improving mobile experience and code maintainability. Built internal reporting tools using Go and Node.js microservices with RESTful architecture. Integrated RabbitMQ and Redis queues to optimize async background task processing. Supported internationalization of the web platform with dynamic locale support in React. Refactored AngularJS legacy code into modular React components with 30% smaller bundles. Created backend data transformation services with Pandas and NumPy for reporting modules. Contributed to design system implementation and shared component libraries for cross-team development. Actively engaged in peer mentoring, design critiques, and product QA validation.