I am an AI Engineer specializing in designing scalable, secure, and partially automated AI workflows for SaaS platforms. I routinely integrate Figma, Jira, Confluence, GitHub, and user context data to accelerate product development and learning support, using Python, ML, LLMs, and DevOps practices to deliver maintainable, data-driven solutions. During my tenure at ABB AG Research Center in Germany, I built 32+ self-supervised models with 95% anomaly-detection accuracy, set up Azure ML and CI/CD pipelines to automate circuit-breaker workflows, and reduced manual labeling by 70% while boosting model accuracy. I led partially automated AI workflow initiatives that reduced downtime by 40% and cut maintenance costs by 25%, delivering measurable business value and earning recognition.

Kiran Kumar Kanathala

I am an AI Engineer specializing in designing scalable, secure, and partially automated AI workflows for SaaS platforms. I routinely integrate Figma, Jira, Confluence, GitHub, and user context data to accelerate product development and learning support, using Python, ML, LLMs, and DevOps practices to deliver maintainable, data-driven solutions. During my tenure at ABB AG Research Center in Germany, I built 32+ self-supervised models with 95% anomaly-detection accuracy, set up Azure ML and CI/CD pipelines to automate circuit-breaker workflows, and reduced manual labeling by 70% while boosting model accuracy. I led partially automated AI workflow initiatives that reduced downtime by 40% and cut maintenance costs by 25%, delivering measurable business value and earning recognition.

Available to hire

I am an AI Engineer specializing in designing scalable, secure, and partially automated AI workflows for SaaS platforms. I routinely integrate Figma, Jira, Confluence, GitHub, and user context data to accelerate product development and learning support, using Python, ML, LLMs, and DevOps practices to deliver maintainable, data-driven solutions.

During my tenure at ABB AG Research Center in Germany, I built 32+ self-supervised models with 95% anomaly-detection accuracy, set up Azure ML and CI/CD pipelines to automate circuit-breaker workflows, and reduced manual labeling by 70% while boosting model accuracy. I led partially automated AI workflow initiatives that reduced downtime by 40% and cut maintenance costs by 25%, delivering measurable business value and earning recognition.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

German
Advanced
English
Fluent
Hindi
Fluent
Telugu
Fluent

Work Experience

AI Engineer (Master Thesis) at ABB AG Research Center, Germany
April 1, 2024 - September 5, 2025
Led design and deployment of 32+ self-supervised models using Python, ML, and LLMs for scalable AI-driven systems with 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control for 6+ circuit breakers, enabling automation and reducing processing by 40%. Developed pretext tasks on 100K+ samples, reducing manual labeling by 70% and improving accuracy by 25%. Drove process optimization and product development automation, lowering downtime by 40% and maintenance costs by 25%, earning €1700 bonus.
Full Stack Developer at ABB AG Research Center, Germany
October 1, 2023 - September 5, 2025
Built scalable AI-driven systems with Python, integrated 10+ datasets/APIs for product development automation and boosted analysis speed by 30%. Collaborated in a 10-person team using Jira, Confluence, and GitHub, reducing integration errors by 20%. Delivered 10+ tasks under tight deadlines, supporting 4+ monthly stakeholder decisions with AI-driven development tools. Developed a SaaS web app integrating 4+ renewables, improving client energy use by 35% via ML and workflow automation.
AI Engineer (Master Thesis) at ABB AG Research Center, Germany
April 1, 2024 - September 5, 2025
Led design and deployment of 32+ self-supervised models using Python, ML, and LLMs for scalable AI-driven systems, achieving 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control pipelines for 6+ circuit breakers, enabling workflow automation and reducing processing time by 40%. Developed pretext tasks on 100K+ samples, integrating AI-driven development tools and partially automated AI workflow, reducing manual labeling by 70% and boosting accuracy by 25%. Delivered strong business outcomes through process optimization and automation, reducing downtime by 40% and cutting maintenance costs by 25%, earning €1700 bonus.
Full Stack Developer at ABB AG Research Center, Germany
October 1, 2023 - September 5, 2025
Built scalable AI-driven systems with Python, integrated 10+ datasets/APIs for product development automation and boosted analysis speed by 30%. Collaborated in a 10-person team using Jira, Confluence, and GitHub, reducing integration errors by 20%. Delivered 10+ tasks under tight deadlines, providing technical guidance and supporting 4+ monthly stakeholder decisions with AI-driven development tools. Developed SaaS platform web app integrating 4+ renewables, improving client energy use by 35% via machine learning and workflow automation system.
AI Engineer (Master Thesis) at ABB AG Research Center, Germany
April 1, 2024 - September 5, 2025
Designed and deployed 32+ self-supervised models using Python, machine learning, and LLMs for scalable AI-driven systems with 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control pipelines for 6+ circuit breakers, enabling a workflow automation system and reducing processing by 40%. Developed pretext tasks on 100K+ samples, integrating AI-driven development tools and a partially automated AI workflow, reducing manual labeling by 70% and boosting accuracy by 25%. Delivered strong business outcomes via process optimization, automation, and product development automation, reducing downtime by 40%, cutting maintenance costs by 25%, and earning a €1700 bonus.
Full Stack Engineer at ABB AG Research Center, Germany
October 1, 2023 - September 5, 2025
Built scalable AI-driven systems with Python, integrated 10+ datasets/APIs for product development automation and boosted analysis speed by 30%. Collaborated in a 10-person team using Jira, Confluence, and GitHub for remote collaboration, reducing integration errors by 20%. Delivered 10+ tasks under tight deadlines, providing technical guidance and supporting 4+ monthly stakeholder decisions with AI-driven development tools. Developed SaaS platform web app integrating 4+ renewables, improving client energy use by 35% via machine learning and workflow automation system.

Education

Master of Science in Mechatronics with Specialization in AI at University of Siegen, Germany
January 11, 2030 - May 1, 2025
Bachelor of Technology in Mechanical Engineering at MLR Institute of Technology, JNTUH, India
January 11, 2030 - September 5, 2025
Master of Science in Mechatronics with Specialization in AI at University of Siegen, Germany
January 11, 2030 - May 1, 2025
Bachelor of Technology in Mechanical Engineering at MLR Institute of Technology, JNTUH, India
January 11, 2030 - September 5, 2025
Master of Science in Mechatronics with Specialization in AI at University of Siegen, Germany
January 11, 2030 - May 1, 2025
Bachelor of Technology in Mechanical Engineering at MLR Institute of Technology, JNTUH, India
January 11, 2030 - September 5, 2025
Applied NLP: Word-Level Encoding for Smarter Event Predictions at University of Siegen, Germany
November 1, 2024 - May 1, 2025
AWS Cloud Technical Essentials at AWS & Coursera
August 1, 2024 - September 1, 2024
The Systems Modeling Language (SysML) v1.6 at Udemy
September 1, 2024 - September 1, 2024
Generative AI Applications with RAG and LangChain at IBM & Coursera
May 1, 2024 - November 1, 2024
Generative AI Engineering with LLMs Specialization at IBM & Coursera
May 1, 2024 - November 1, 2024

Qualifications

Generative AI Engineering with LLMs Specialization - IBM & Coursera
May 1, 2024 - November 1, 2024
Deep Neural Networks with PyTorch - IBM & Coursera
April 1, 2022 - May 1, 2022
Building Deep Learning Models with TensorFlow - IBM & Coursera
May 1, 2022 - June 1, 2022
Introduction to Machine Learning by Andrew Ng - Stanford Online & Coursera
September 1, 2021 - January 1, 2022
AWS Cloud Technical Essentials - AWS & Coursera
August 1, 2024 - September 1, 2024
The Systems Modeling Language (SysML) v1.6 - Udemy
September 1, 2024 - September 5, 2025
Generative AI Engineering with LLMs Specialization
May 1, 2024 - November 1, 2024
Deep Neural Networks with PyTorch
April 1, 2022 - May 1, 2022
Building Deep Learning Models with TensorFlow
May 1, 2022 - June 1, 2022
Introduction to Machine Learning by Andrew Ng
September 1, 2021 - January 1, 2022
AWS Cloud Technical Essentials
August 1, 2024 - September 1, 2024
The Systems Modeling Language (SysML) v1.6
September 1, 2024 - September 1, 2024
Generative AI Engineering with LLMs Specialization
May 1, 2024 - November 1, 2024
Deep Neural Networks with PyTorch
April 1, 2022 - May 1, 2022
Building Deep Learning Models with TensorFlow
May 1, 2022 - June 1, 2022
Introduction to Machine Learning by Andrew Ng
September 1, 2021 - January 1, 2022
AWS Cloud Technical Essentials
August 1, 2024 - September 1, 2024
SysML v1.6
September 1, 2024 - September 1, 2024

Industry Experience

Software & Internet, Manufacturing, Professional Services, Education, Other