ShalinBhatt
AI Engineer | Technical Lead
Staff-level software engineer with 12 years building production-scale distributed systems — from CI/CD pipelines and container orchestration to production AI infrastructure. At STERIS I led platform engineering for a HIPAA-regulated product line at 99.
Years
Engineers Led
Users Served
About Me
Staff-level software engineer with 12 years building production-scale distributed systems — from CI/CD pipelines and container orchestration to production AI infrastructure. At STERIS I led platform engineering for a HIPAA-regulated product line at 99.95% uptime and introduced AI-assisted development workflows adopted across a 12-person engineering team.
On my own time, I build autonomous multi-agent systems and AI infrastructure — multi-model orchestration, LLM evaluation frameworks, and observability layers. That is where I push the capability curve.
Engineers Led & Managed (Core team + project teams)
Engineers Hired (Recruited, interviewed, and made hiring decisions)
Team Retention (Industry avg: 60-70%)
Engineers Promoted to Senior Roles (from mentored intern/junior)
Deployed Nationwide
Faster Development via AI Tooling
Work Experience
Technical Lead
PresentSenior Software Engineer
Certifications & Credentials
Certified Scrum Master (CSM)
Scrum Alliance
2018, Renewed 2023Becoming a Manager Professional Certificate
LinkedIn Learning
2025Claude Code 4: Agentic Coding for Professional Developers
Anthropic
2025Microsoft AI Workshop
Microsoft
2025Building with AI: Building a Copilot with Azure AI Foundry
Microsoft
2024Docker Foundations Professional Certificate
Docker, Inc
2026Agent Skills with Anthropic
DeepLearning.AI
May 2026Skills & Expertise
Autonomous Agent Systems
Production LLM Engineering
AI Reliability & Observability
AI Infrastructure
Engineering Leadership
Regulated & Enterprise Systems
Systems & Distributed Infrastructure
Technical Stack
Featured Projects
Autonomous Multi-Agent Trading System
Production multi-agent system for autonomous trading across multiple brokers. Built with Python, LangGraph, and multi-model AI orchestration.
Privacy-focused 4-app AI platform running 100% locally: Personal AI Assistant (multi-model chat & image generation), Code Documentation Generator (auto-docs for any codebase), Local RAG System (semantic search with citations), and AI Image Classifier (auto-tagging & face recognition). Fully containerized with Docker. Demonstrates production-ready AI architecture for enterprise privacy requirements.
LLM evaluation framework with LLM-as-judge pattern, consistency testing, and RAG evaluation. Built 6 automated evaluators (accuracy, consistency, latency, cost, LLM-as-judge, RAG quality) with multi-provider runners for model selection at scale.
AI observability layer for production LLM applications. Decorator-based agent workflow tracing, web dashboard with timeline visualization, and framework integrations for Ollama, CrewAI, and LangChain to make AI decisions transparent and debuggable.
Complete Arch Linux setup with GNOME for Microsoft Surface Pro devices. Includes custom kernel patches, hardware optimization scripts, and configuration for touch/stylus support. Addresses Surface-specific challenges like firmware, battery management, and type cover integration.
Claude Chat Export
Chrome extension for exporting Claude AI conversations to markdown, JSON, or text format. Built to preserve important AI interactions for documentation and knowledge management workflows.
DevTab Manager
Developer-focused tab management Chrome extension for organizing browser sessions, saving workspace states, and quickly restoring development environments. Reduces context-switching overhead for multi-project workflows.
Copy as Markdown
Chrome extension that converts web page selections to clean markdown format. Preserves formatting, links, and code blocks for seamless documentation workflows.
JournalStylus
Personal journaling application with stylus and touch support for natural writing experience. Features daily entries, mood tracking, and searchable history for mindful reflection and personal growth.
Open Source Contributions
OpenCode
2026Contributed bug fixes for terminal UI stability and session management.
Multica
2026Contributed Linux desktop integration fixes including native file handling and window management.
Zen Browser
2026Contributed fixes for tab management and window state handling.
Zorin OS
2026Contributed fixes for Linux desktop integration and system-level improvements.
My AI Philosophy
I build autonomous multi-agent systems — not just prompts glued together, but real architectures with concurrent execution, self-healing failure recovery, and intelligent orchestration that makes decisions independently.
Production LLM infrastructure is a different discipline than notebook experiments. It demands evaluation frameworks, hallucination mitigation, observability layers, and multi-model routing with fallback logic — all running reliably at scale.
The frontier is where capability meets reliability. I push the curve by building systems that don't just demonstrate AI concepts — they ship them into production with guardrails, monitoring, and measurable impact.
Get in Touch
I'm always open to discussing AI engineering, leadership opportunities, or interesting projects. Feel free to reach out.