Dhaivat Jambudia
AI/ML Engineer | AI Agent & MLOps Specialist
dhaivat-jambudia
Rajkot, India
Joined May 2026
Summary
Builds production-ready LLM systems and multimodal agents with a strong MLOps and deployment focus, emphasizing robust data ingestion, hybrid memory, vector databases, and scalable APIs. himalayas+1
Focuses on cost-efficient model architectures and practical routing strategies—using free/local models for common tasks and reserving large proprietary models for complex sub-tasks—to reduce operating costs without sacrificing quality. dev
Prioritizes security and sandboxing for agent deployments, advocating container isolation, dedicated credentials, network segmentation, and human-in-the-loop controls for destructive actions. dev
Contributes to open-source tooling and performance-focused implementations, exploring trade-offs between Python-based ML experimentation and Rust-based high-throughput retrieval pipelines. github+1
Writes educational content on foundational topics such as statistics for machine learning and system design best practices, indicating an interest in teaching and knowledge sharing. medium+1
Work
Education
Projects
Writing
I Replaced a $200/mo AI Stack with OpenClaw + Free Models. Here's the Exact Setup (and Why Security Almost Killed It)
April 1, 2026A detailed write-up on building a cost-optimized agent stack using OpenClaw and free/local models, trade-offs for routing tasks to larger models, and security hardening practices for agent deployments.
Why Learning Statistics is Crucial for Machine Learning and Data Science
March 1, 2024An explainer on the importance of statistics for understanding data, building predictive models, validating models, and avoiding pitfalls in machine learning and data science.
Enhancing Stock Market Analytics in Real Time With Apache Kafka
Book chapter discussing real-time stock market analytics architectures using Apache Kafka and related tooling (chapter in an edited volume).