Become a sponsor to Dev Jadhav
Hey there! 👋
I'm Dev, a Lead AI/ML Engineer at ING Bank in Amsterdam, where I spend my days building production-scale AI systems that actually work in the real world.
What I'm Building
I'm the creator and maintainer of SREnity, an open-source agentic SRE copilot that uses multi-agent architectures to automate incident response and site reliability operations. At ING, I've built enterprise GenAI solutions that handle 230K+ monthly inference requests, including a Change Reliability Indicator that predicts deployment risks with 85%+ accuracy.
I also maintain intelligent_routing, a Rust library for GPU cluster load balancing that achieves ~550K requests/second with near-optimal distribution using the Power of Two Choices algorithm.
Why Open Source Matters to Me
As a self-taught AI engineer who transitioned from traditional engineering into ML/AI, I've benefited enormously from the open-source community. Now I want to give back by sharing production-proven tools and patterns that bridge the gap between cutting-edge AI research and real-world deployment.
My focus is on solving problems that actually matter in production:
Multi-agent systems that work reliably at scale
LLM inference optimization and distributed systems
MLOps patterns for enterprise environments
Kubernetes orchestration for ML workloads
What Your Sponsorship Enables
Open-source work takes time—time for documentation, issue triage, feature development, and helping users succeed. Your sponsorship helps me:
Dedicate focused time to maintaining and improving SREnity and intelligent_routing
Create comprehensive guides and tutorials for production GenAI systems
Develop new tools that solve real infrastructure challenges
Share knowledge through technical writing on Medium and in-depth documentation
Support the community by promptly addressing issues and feature requests
My Technical Background
I have 10+ years of production engineering experience, specializing in:
GenAI & LLMs: Multi-agent systems, RAG architectures, LLM fine-tuning (PEFT/LoRA)
ML Infrastructure: vLLM, TensorRT-LLM, DeepSpeed, distributed training
Cloud & DevOps: AWS, GCP, Azure (certified across all three), Kubernetes at scale
Languages: Python, Rust, Go
I'm currently exploring GNN-based anomaly detection for distributed training systems and actively contributing to the broader AI/ML infrastructure ecosystem.
Connect With Me
📝 Technical Writing: Medium (@dev-jadhav) - Deep dives on LLMOps, production GenAI, and distributed systems
💼 Professional: LinkedIn
🐦 Updates: Follow my work for real-time updates on open-source projects