Hi, I'm Dan Snyder, a Senior AI/ML Engineer with 8+ years of experience designing and shipping production-grade AI solutions. I specialize in large language models (LLMs), LangChain-based orchestration, Retrieval Augmented Generation (RAG) pipelines, and scalable AI workflows that drive measurable business impact. I've led end-to-end ML deployments across AWS, Azure, and GCP, optimized inference stacks for speed and cost, and integrated agentic AI into real-world products. I'm passionate about building AI that solves meaningful problems and augments human workflows.

Dan Snyder

Hi, I'm Dan Snyder, a Senior AI/ML Engineer with 8+ years of experience designing and shipping production-grade AI solutions. I specialize in large language models (LLMs), LangChain-based orchestration, Retrieval Augmented Generation (RAG) pipelines, and scalable AI workflows that drive measurable business impact. I've led end-to-end ML deployments across AWS, Azure, and GCP, optimized inference stacks for speed and cost, and integrated agentic AI into real-world products. I'm passionate about building AI that solves meaningful problems and augments human workflows.

Available to hire

Hi, I’m Dan Snyder, a Senior AI/ML Engineer with 8+ years of experience designing and shipping production-grade AI solutions. I specialize in large language models (LLMs), LangChain-based orchestration, Retrieval Augmented Generation (RAG) pipelines, and scalable AI workflows that drive measurable business impact.

I’ve led end-to-end ML deployments across AWS, Azure, and GCP, optimized inference stacks for speed and cost, and integrated agentic AI into real-world products. I’m passionate about building AI that solves meaningful problems and augments human workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
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Work Experience

Senior AI/ML Engineer at BuzzSols
May 1, 2023 - Present
Designed and shipped LLM-powered features including RAG pipelines, embeddings, and conversational AI agents, reducing manual workload by 40%. Integrated LangChain workflows to orchestrate multi-step reasoning and external tool use, improving system reliability and automation coverage. Optimized inference performance with OpenAI and Anthropic APIs, cutting latency by 30% while reducing cost per query. Automated production ML pipelines with CI/CD, Docker/Kubernetes, and MLflow, ensuring continuous delivery of safe and reliable AI features.
Machine Learning Engineer at Solvd
February 1, 2020 - April 1, 2023
Developed real-time analytics platforms, enabling clients to process and visualize large datasets with 35% faster insights. Built and deployed AI-powered recommendation systems and personalized search using embeddings and vector databases (Pinecone/FAISS). Engineered multi-tenant SaaS solutions with advanced security, reducing vulnerabilities by 40%. Implemented AI-powered recommendation engines, increasing user engagement by 30%. Automated ML pipelines with Airflow and MLflow, reducing manual intervention by 55%. Enhanced video/image processing with OpenCV, accelerating processing speed by 25%.
Software Engineer at Geomotiv
November 1, 2016 - January 1, 2020
Developed NLP applications, improving sentiment analysis accuracy by 25%. Built and optimized 12+ web apps (React, Node.js, Django), reducing page load time by 40%. Architected microservices on AWS/Azure, boosting system performance by 35%. Designed ASR-based transcription pipelines, cutting manual effort by 60%. Enhanced database efficiency, improving query response by 45%. Created CI/CD pipelines with Docker and Kubernetes, accelerating delivery by 50%.

Education

Masters in Computer Science at CUI
January 1, 2014 - January 1, 2016

Qualifications

Masters in Computer Science
January 1, 2014 - January 1, 2016

Industry Experience

Software & Internet, Professional Services