I am an AI Engineer with strong expertise in building LLM-based agentic systems, modular AI workflows, and scalable ML infrastructure. I specialize in designing multi-agent architectures using tools like LangChain, crewAI, ReAct Agents, and n8n to automate real-world tasks efficiently. I am passionate about developing reusable and monitorable AI workflows that deliver business value in high-impact domains like insurance and enterprise automation. I have hands-on experience in fine-tuning foundation models such as GPT, LLaMA, and Mistral, building production-grade AI microservices with FastAPI, and integrating diverse APIs and databases to ensure seamless collaboration among intelligent agents. Working closely with cross-functional teams, I aim to align AI solutions with business logic and drive impactful automation in industrial and enterprise applications.

Akhil Paineni

I am an AI Engineer with strong expertise in building LLM-based agentic systems, modular AI workflows, and scalable ML infrastructure. I specialize in designing multi-agent architectures using tools like LangChain, crewAI, ReAct Agents, and n8n to automate real-world tasks efficiently. I am passionate about developing reusable and monitorable AI workflows that deliver business value in high-impact domains like insurance and enterprise automation. I have hands-on experience in fine-tuning foundation models such as GPT, LLaMA, and Mistral, building production-grade AI microservices with FastAPI, and integrating diverse APIs and databases to ensure seamless collaboration among intelligent agents. Working closely with cross-functional teams, I aim to align AI solutions with business logic and drive impactful automation in industrial and enterprise applications.

Available to hire

I am an AI Engineer with strong expertise in building LLM-based agentic systems, modular AI workflows, and scalable ML infrastructure. I specialize in designing multi-agent architectures using tools like LangChain, crewAI, ReAct Agents, and n8n to automate real-world tasks efficiently. I am passionate about developing reusable and monitorable AI workflows that deliver business value in high-impact domains like insurance and enterprise automation.

I have hands-on experience in fine-tuning foundation models such as GPT, LLaMA, and Mistral, building production-grade AI microservices with FastAPI, and integrating diverse APIs and databases to ensure seamless collaboration among intelligent agents. Working closely with cross-functional teams, I aim to align AI solutions with business logic and drive impactful automation in industrial and enterprise applications.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate

Language

English
Advanced
German
Intermediate
Hindi
Advanced
Telugu
Advanced

Work Experience

AI Engineer at Perfacct GmbH
March 31, 2025 - August 26, 2025
Built and deployed AI microservices using FastAPI integrated into enterprise systems for real-time industrial use. Improved operational efficiency by 97% and reduced inference time by 40% through model optimization and automation. Developed models for computer vision tasks like classification, segmentation, and object detection using TensorFlow, PyTorch, and Scikit-learn. Collaborated with data engineers, architects, and UX designers in Agile teams to design user-focused AI applications. Led end-to-end solution design for greenfield projects, ensuring production readiness and scalable deployment. Managed containerization with Docker and deployed models on AWS cloud services. Automated model evaluation and performance tracking with CI/CD pipelines using GitLab and MLflow. Ensured code maintainability through Git versioning and code reviews. Presented findings to stakeholders to drive data-driven decision making.
Research Assistant - Deep Learning Models for Flat Printed Panels at TH Rosenheim
February 28, 2023 - August 26, 2025
Developed TensorFlow deep learning models for automated defect detection, achieving 93% accuracy in defect classification via CNN-based transfer learning and hyperparameter tuning. Conducted extensive training and evaluation using Scikit-learn SVMs to optimize detection accuracy.

Education

Master's in Engineering Sciences at Technische Hochschule Rosenheim
October 1, 2020 - February 28, 2025
Bachelor of Technology in Mechanical Engineering at Manipal Institute of Technology
August 1, 2015 - May 31, 2019

Qualifications

Natural Language Processing & Generative AI, Udemy
January 11, 2030 - August 26, 2025

Industry Experience

Manufacturing, Software & Internet, Financial Services, Professional Services, Energy & Utilities

Experience Level

Expert
Expert
Expert
Expert
Intermediate