Jacob Jerry Arackal

I’m an AI Engineer focused on building production-ready GenAI systems and full-stack applications that solve real business problems. I build custom, agentic AI workflows with core ML expertise, and I’ll find where your system breaks before your users do.

What I Do

I bridge the gap between complex AI research and scalable production software. Whether it’s architecting multi-agent systems with LangGraph or optimizing MLOps pipelines for sub-50ms latency, I focus on building systems that are reliable, measurable, and impactful.

Professional Experience

Currently, I am focused on GenAI and MLOps engineering, looking for my next challenge at an early-stage B2B SaaS company or a high-impact MNC.

At Techfriar Technologies (AI-Native Full-Stack Engineer): I shipped production-grade full-stack applications with a heavy focus on AI integration. This included:

1. Agentic Workflows: Architected RAG pipelines and LLM agents using Gemini, OpenAI, and Llama 3.3.
2. System Optimization: Improved data management efficiency using GraphQL and PostgreSQL, and containerized the entire stack with Docker for seamless scalability.

At Microsoft (AI/ML Engineer Intern): I developed a deep learning model for automobile price prediction, achieving 95% accuracy through rigorous hyperparameter tuning and feature engineering in the Azure ecosystem.

Writing & Community

I write about AI architecture and engineering on Dev.to. My goal is to share lessons learned from the “trenches” of production AI—stuff that tutorials rarely cover.

I build custom, agentic AI workflows with core ML expertise. I’ll find where your system breaks before your users do.