Girish Wangikar
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AI & Machine Learning Engineer with 3+ years of industry experience designing and shipping end-to-end agentic AI systems — from autonomous reasoning pipelines to production-grade AI platforms that perform reliably in the real world.
About
I'm an AI and Machine Learning engineer with a graduate degree from NC State University, specializing in the Data Science track. My work is rooted in turning complex problem statements into intelligent, autonomous systems.
My current focus is agentic AI — building systems where models don't just predict, but plan, reason, use tools, and execute multi-step workflows. I work across the full stack: problem framing, data pipelines, model development, and deploying platforms that scale.
Outside of building, I write about AI on Medium, publish open experiments on Hugging Face, and believe the best learning happens by sharing what you've built.
Expertise
From agentic reasoning systems to production ML platforms — spanning the entire data-to-deployment lifecycle.
Autonomous agents, ML pipelines, and AI platforms shipped end-to-end.
A retrieval-augmented Q&A system where users upload a PDF and ask natural-language questions. Uses client-side PDF processing, Workers AI embeddings, Cloudflare Vectorize, and Groq Llama 3.1 for grounded answers with confidence scoring.
Credentials
Industry-recognized credentials spanning cloud platforms, generative AI, data science, and graph databases.
Oracle Cloud Infrastructure
Neo4j GraphAcademy
Google Cloud / Coursera
DataLab
DataLab
TensorFlow / Google
Writing
I write regularly about agentic AI architectures, LLM evaluations, and ML engineering patterns — bridging research papers and practical implementation. Published on Medium.
Get in Touch
Have an interesting problem or project idea? Always open to conversations about agentic AI and what's possible.
If you have an interesting problem, a project idea, or just want to talk about agentic AI and what's possible — feel free to reach out. Always happy to exchange ideas with people building in this space.
Phone
+1 (984) 944-3688Location
Minnesota, US