- Full-Stack & AI/ML Engineer Β· 15+ years in IT
- Building intelligent agents, AI-driven platforms, and scalable, well-architected systems.
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+**Full-Stack & AI/ML Engineer** β 15+ years building intelligent, scalable systems.
+Currently engineering full-stack & AI solutions at Goldman Sachs, based in New York, USA.
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+[LinkedIn](https://linkedin.com/in/gopal-saini) Β· [Portfolio](https://gopalsaini.co.in) Β· [X](https://x.com/saini_gopal) Β· [Credly](https://www.credly.com/users/gsaini) Β· [gopal.saini.work@gmail.com](mailto:gopal.saini.work@gmail.com)
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-## π About Me
+## About
-- π’ Currently engineering full-stack & AI solutions at **[@GoldmanSachs](https://github.com/GoldmanSachs)**, based in **New York, USA**
-- π€ Focused on **multi-agent AI systems, agentic RAG, and LLM-integrated platforms** built on cloud-native architectures
-- π Post-graduate in **AI/ML** β deep into LangChain/LangGraph, vector databases, GenAI orchestration, and computer vision
-- β‘ I care about **scalable architecture, developer experience, and web performance**
-- π― Open to collaborating on **AI products, full-stack SaaS, and open-source dev tooling**
-- π¬ Ask me about **AI agents, LLMs, DevOps on AWS/Azure/GCP, microservices, and frontend architecture**
-- π« Reach me at ****
+I design and build AI-driven platforms and well-architected systems across the stack. My current focus is **multi-agent AI systems, agentic RAG, and LLM-integrated applications** on cloud-native infrastructure β alongside a long-standing interest in scalable architecture, developer experience, and web performance.
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-## π οΈ Tech Stack
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-**Languages**
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-**AI / ML**
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-**Frontend & Backend**
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-**Cloud, Data & DevOps**
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+- Post-graduate in AI/ML; hands-on with LangChain/LangGraph, vector databases, GenAI orchestration, and computer vision.
+- Open to collaborating on AI products, full-stack SaaS, and open-source developer tooling.
+- Ask me about AI agents, LLMs, DevOps on AWS/Azure/GCP, microservices, and frontend architecture.
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-## π Featured Projects
+## Tech Stack
-| Project | Description |
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| :--- | :--- |
-| π§ [**financial-research-analyst-agent**](https://github.com/gsaini/financial-research-analyst-agent) | Hierarchical **multi-agent** system for financial research β FastAPI, LangChain, Ollama, Postgres & Redis, containerized for Kubernetes. |
-| π€ [**ai-playgrounds**](https://github.com/gsaini/ai-playgrounds) | Hands-on lab for **RAG, agents, MCP, embeddings & vector search** with LangChain, Ollama, Milvus and Streamlit. |
-| βοΈ [**legal-document-assistant-agent**](https://github.com/gsaini/legal-document-assistant-agent) | High-precision **agentic RAG** for contract review and legal analysis with OCR + vector store. |
-| ποΈ [**event-ticketing-platform**](https://github.com/gsaini/event-ticketing-platform) | End-to-end **system design** of a distributed ticketing platform β Kafka, Kong, Vault, Kubernetes. |
-| β‘ [**Performance-Measurements**](https://github.com/gsaini/Performance-Measurements) | Tooling and techniques to measure and tune **website performance**. |
-| βΈοΈ [**macbook-k8s-local-stack**](https://github.com/gsaini/macbook-k8s-local-stack) | Production-grade **local Kubernetes** dev stack on macOS β Cilium, Hubble, Cloudflare Tunnel. |
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-> π Explore more in my [**AI agent case studies**](https://github.com/gsaini/ai-agents-case-studies-docs), [**computer vision case studies**](https://github.com/gsaini/computer-vision-case-studies), and a growing series of hands-on **getting-started** repos (Rust, Apache Lucene, Temporal, YugabyteDB, Playwright-MCP, and more).
+| **Languages** | Python Β· TypeScript Β· JavaScript Β· Java Β· Rust |
+| **AI / ML** | LangChain Β· LangGraph Β· MCP (Model Context Protocol) Β· Ollama Β· Hugging Face Β· PyTorch Β· TensorFlow Β· scikit-learn Β· OpenCV Β· Pandas Β· NumPy |
+| **Frontend & Backend** | React Β· Node.js Β· FastAPI Β· Flask Β· GraphQL Β· Streamlit Β· Angular Β· Vite |
+| **Cloud, Data & DevOps** | AWS Β· Azure Β· GCP Β· Docker Β· Kubernetes Β· GitHub Actions Β· ArgoCD Β· PostgreSQL Β· Redis Β· Kafka |
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-## π GitHub Stats
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+## Selected Projects
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+| Project | Description |
+| :--- | :--- |
+| [**financial-research-analyst-agent**](https://github.com/gsaini/financial-research-analyst-agent) | Hierarchical multi-agent system for financial research β FastAPI, LangChain, Ollama, Postgres & Redis, containerized for Kubernetes. |
+| [**ai-playgrounds**](https://github.com/gsaini/ai-playgrounds) | Hands-on lab for RAG, agents, MCP, embeddings & vector search with LangChain, Ollama, Milvus and Streamlit. |
+| [**legal-document-assistant-agent**](https://github.com/gsaini/legal-document-assistant-agent) | High-precision agentic RAG for contract review and legal analysis with OCR and a vector store. |
+| [**event-ticketing-platform**](https://github.com/gsaini/event-ticketing-platform) | End-to-end system design of a distributed ticketing platform β Kafka, Kong, Vault, Kubernetes. |
+| [**Performance-Measurements**](https://github.com/gsaini/Performance-Measurements) | Tooling and techniques to measure and tune website performance. |
+| [**macbook-k8s-local-stack**](https://github.com/gsaini/macbook-k8s-local-stack) | Production-grade local Kubernetes dev stack on macOS β Cilium, Hubble, Cloudflare Tunnel. |
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+More in my [AI agent case studies](https://github.com/gsaini/ai-agents-case-studies-docs), [computer vision case studies](https://github.com/gsaini/computer-vision-case-studies), and a series of hands-on getting-started repos (Rust, Apache Lucene, Temporal, YugabyteDB, Playwright-MCP, and more).
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-## π Certifications
+## Certifications