arya = {
"role" : "Software Development Engineer @ Salesforce",
"location" : "Bengaluru, Karnataka, India",
"focus" : ["LLM Engineering", "AI Agents", "MCP Servers", "Backend Systems"],
"building" : "Production-grade AI tools developers actually use every day",
"certifications": "13Γ Anthropic Academy (Claude, MCP, Agents, Subagents, API)",
"fun_fact" : "I read the Anthropic docs for fun and then build things from them",
}I'm a software engineer at Salesforce with a background in CV/ML from DTU, now deep in the world of LLMs, agents, and the Model Context Protocol. I spend evenings building side projects at the intersection of developer tooling and AI β things I wish existed when I was shipping features at work.
All completed MarchβApril 2026 Β· Issued by Anthropic Education
| Course | Verified |
|---|---|
| Claude 101 | β Verify |
| Claude Code 101 | β Verify |
| Claude Code in Action | β Verify |
| Building with the Claude API | β Verify |
| Introduction to Model Context Protocol | β Verify |
| Model Context Protocol: Advanced Topics | β Verify |
| Introduction to Agent Skills | β Verify |
| Introduction to Subagents | β Verify |
| Introduction to Claude Cowork | β Verify |
| AI Fluency: Framework & Foundations | β Verify |
| AI Fluency for Students | β Verify |
| AI Fluency for Educators | β Verify |
| Teaching AI Fluency | β Verify |
Languages
AI / LLM Stack
Backend & Infrastructure
Tools & Platforms
Building production-grade AI tools, not toy demos.
A production RAG pipeline β ingest any PDF/doc collection, ask questions, get grounded answers with source citations. Includes hallucination detection, retrieval quality metrics, and a live monitoring dashboard. Deployed live on Railway.
Python Β· LangChain Β· ChromaDB Β· FastAPI Β· React Β· Railway
A GitHub Action + CLI that auto-reviews PRs using the Claude API β flags security issues, code smells, and suggests refactors with explanations. Published to npm so engineers can install it in 30 seconds.
TypeScript Β· Claude API Β· GitHub Actions Β· AST parsing Β· npm
An MCP server that connects Claude directly to Salesforce β query records, run SOQL, update objects, and trigger flows β all from within your AI assistant. Built with the official MCP SDK and published to npm. The first Salesforce MCP server on npm.
TypeScript Β· MCP SDK Β· Salesforce API Β· npm
Ingest a live data stream β clean β LLM enrichment (sentiment + entity extraction + summarization) β PostgreSQL β REST API. End-to-end system showing event-driven architecture, pipeline design, and production LLM integration.
Python Β· Kafka Β· PostgreSQL Β· FastAPI Β· Docker Compose Β· Claude API
A pytest-based framework for evaluating LLM outputs β factuality checks, latency benchmarks, hallucination detection, and regression testing. Integrates with DeepEval and RAGAS. Runs in CI via GitHub Actions.
Python Β· DeepEval Β· RAGAS Β· pytest Β· GitHub Actions
I write about building with LLMs, the Model Context Protocol, AI agents, and what I'm learning from Anthropic's stack. Find me on Medium β
If you're working on something interesting in the LLM/agent/MCP space, or hiring senior engineers for London-based teams, I'd love to chat.
π¬ LinkedIn Β· Medium Β· X / Twitter