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Hello! I'm Rajat Agrawal, an AI backend engineer focused on building agentic systems, scalable Python services, and data-intensive pipelines. I design reliable automation workflows, analytics tools, and high-performance engineering solutions by combining backend architecture, LLM integrations, and scientific computing expertise. I'm passionate about turning complex problems into robust, observable systems with secure authentication, well-documented APIs, and scalable data pipelines. My work spans AI-driven automation platforms, natural-language analytics, and high-performance simulations for research and industry.…Hello! I'm Rajat Agrawal, an AI backend engineer focused on building agentic systems, scalable Python services, and data-intensive pipelines. I design reliable automation workflows, analytics tools, and high-performance engineering solutions by combining backend architecture, LLM integrations, and scientific computing expertise. I'm passionate about turning complex problems into robust, observable systems with secure authentication, well-documented APIs, and scalable data pipelines. My work spans AI-driven automation platforms, natural-language analytics, and high-performance simulations for research and industry.

Rajat Agrawal

AI Engineer, Data Scientist, Back-End Developer, +2

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Hello! I'm Rajat Agrawal, an AI backend engineer focused on building agentic systems, scalable Python services, and data-intensive pipelines. I design reliable automation workflows, analytics tools, and high-performance engineering solutions by combining backend architecture, LLM integrations, and scientific computing expertise. I'm passionate about turning complex problems into robust, observable systems with secure authentication, well-documented APIs, and scalable data pipelines. My work spans AI-driven automation platforms, natural-language analytics, and high-performance simulations for research and industry.…Hello! I'm Rajat Agrawal, an AI backend engineer focused on building agentic systems, scalable Python services, and data-intensive pipelines. I design reliable automation workflows, analytics tools, and high-performance engineering solutions by combining backend architecture, LLM integrations, and scientific computing expertise. I'm passionate about turning complex problems into robust, observable systems with secure authentication, well-documented APIs, and scalable data pipelines. My work spans AI-driven automation platforms, natural-language analytics, and high-performance simulations for research and industry.

Available to hire

Hello! I’m Rajat Agrawal, an AI backend engineer focused on building agentic systems, scalable Python services, and data-intensive pipelines. I design reliable automation workflows, analytics tools, and high-performance engineering solutions by combining backend architecture, LLM integrations, and scientific computing expertise.

I’m passionate about turning complex problems into robust, observable systems with secure authentication, well-documented APIs, and scalable data pipelines. My work spans AI-driven automation platforms, natural-language analytics, and high-performance simulations for research and industry.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Beginner

Work Experience

AI Backend Engineer at EPlumbers

April 1, 2024 - November 1, 2025

Built and deployed Plumbed, an AI automation platform; developed scalable backend systems with AI agent workflows; implemented LLM-driven routing, automation, and integrations; established reliable data and validation pipelines for agents.

Scientific Data Engineer at Max Planck Institute

July 1, 2019 - November 1, 2023

Engineered Python tools for surface topology and atom dynamics, enabling analysis of 10M+ data points; designed optimized algorithms for 2D/3D simulations and modeling; built end-to-end scientific data pipelines using NumPy, SciPy, Pandas, and custom modules for modeling, data cleaning, and feature extraction; created high-quality visualizations supporting scientific analysis workflows.