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I am an AI & Automation Engineer with a strong foundation in machine learning, NLP, and workflow automation. I have experience building high-quality datasets, training deep learning models, and developing LLM-based applications using modern AI frameworks. I combine solid data engineering fundamentals with advanced ML techniques to deliver accurate, reliable, and scalable AI solutions. I enjoy translating business problems into model-ready data, designing scalable ML workflows, and collaborating with cross-functional teams to ship results that matter. My hands-on experience spans end-to-end data pipelines on AWS, Snowflake, and dbt, automated KPI reporting, and practical deployments of AI-powered analytics in real-world settings.…I am an AI & Automation Engineer with a strong foundation in machine learning, NLP, and workflow automation. I have experience building high-quality datasets, training deep learning models, and developing LLM-based applications using modern AI frameworks. I combine solid data engineering fundamentals with advanced ML techniques to deliver accurate, reliable, and scalable AI solutions. I enjoy translating business problems into model-ready data, designing scalable ML workflows, and collaborating with cross-functional teams to ship results that matter. My hands-on experience spans end-to-end data pipelines on AWS, Snowflake, and dbt, automated KPI reporting, and practical deployments of AI-powered analytics in real-world settings.

Ayush Garla

AI Engineer, Data Scientist, Developer, +3

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I am an AI & Automation Engineer with a strong foundation in machine learning, NLP, and workflow automation. I have experience building high-quality datasets, training deep learning models, and developing LLM-based applications using modern AI frameworks. I combine solid data engineering fundamentals with advanced ML techniques to deliver accurate, reliable, and scalable AI solutions. I enjoy translating business problems into model-ready data, designing scalable ML workflows, and collaborating with cross-functional teams to ship results that matter. My hands-on experience spans end-to-end data pipelines on AWS, Snowflake, and dbt, automated KPI reporting, and practical deployments of AI-powered analytics in real-world settings.…I am an AI & Automation Engineer with a strong foundation in machine learning, NLP, and workflow automation. I have experience building high-quality datasets, training deep learning models, and developing LLM-based applications using modern AI frameworks. I combine solid data engineering fundamentals with advanced ML techniques to deliver accurate, reliable, and scalable AI solutions. I enjoy translating business problems into model-ready data, designing scalable ML workflows, and collaborating with cross-functional teams to ship results that matter. My hands-on experience spans end-to-end data pipelines on AWS, Snowflake, and dbt, automated KPI reporting, and practical deployments of AI-powered analytics in real-world settings.

Available to hire

I am an AI & Automation Engineer with a strong foundation in machine learning, NLP, and workflow automation. I have experience building high-quality datasets, training deep learning models, and developing LLM-based applications using modern AI frameworks. I combine solid data engineering fundamentals with advanced ML techniques to deliver accurate, reliable, and scalable AI solutions.

I enjoy translating business problems into model-ready data, designing scalable ML workflows, and collaborating with cross-functional teams to ship results that matter. My hands-on experience spans end-to-end data pipelines on AWS, Snowflake, and dbt, automated KPI reporting, and practical deployments of AI-powered analytics in real-world settings.

Skills

Experience Level

Expert

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Language

English

Fluent

German

Intermediate

Work Experience

Artificial Intelligence Intern at SRH Berlin University of Applied Sciences

September 1, 2024 - August 22, 2025

Implemented object detection to support smart mobility and sustainable transport systems. Improved traffic sign recognition training efficiency by 60%. Enhanced model performance and cost-efficiency on Google Cloud, boosting processing speed by 64%. Built a custom CNN model for benchmarking and proactively identified performance improvements. Collaborated with cross-functional teams to prototype AI-powered mobility solutions.

Automation Developer at Huawei Technologies India Pvt. Ltd.

August 1, 2022 - August 22, 2025

Automated data pipelines with Python/PostgreSQL, reducing manual effort by 70%. Developed ETL workflows and scheduled them on VMs to streamline recurring processes. Built regression models to calculate 2000+ employees' performance scores, improving bonus allocation accuracy. Designed Tableau dashboards for workforce insights, increasing data-driven decisions by 35%. Mentored 2 junior engineers and collaborated with data scientists to deliver scalable pipelines under tight deadlines.

Automation Developer at Huawei Technologies

September 1, 2020 - August 1, 2022

Automated enterprise KPI reporting workflows using Python and PostgreSQL, reducing manual reporting effort by 70% and improving reporting accuracy. Automated KPI load-time reports in Microsoft Excel using VBA macros, enabling quick identification of slow KPIs and prioritization of optimization to improve dashboard performance. Built and maintained scalable PySpark and SQL-based ETL pipelines, reducing data preparation time by 30% and supporting timely business insights. Built an XGBoost-based regression system to predict employee performance trends, supporting fairer and data-driven bonus allocation. Managed version control and automated deployment processes via Git and CI/CD pipelines, improving release reliability and reducing deployment errors.

AI & Data Engineering Intern at SRH Berlin University of Applied Sciences

April 1, 2024 - September 1, 2024

Built end-to-end ML data pipelines using AWS S3, Snowflake, and dbt to support computer vision, predictive modeling, and analytical workloads. Developed and validated training datasets for YOLOv8 and CNN models, achieving 99% detection accuracy through optimized preprocessing, augmentation, and labeling workflows. Implemented automated ETL workflows using AWS Glue and Python, resulting in 60% faster data processing and 35% fewer pipeline failures for ML model training. Created transformation models, seeds, and data quality tests in dbt to ensure reliable, high-quality data for ML research. Collaborated with mobility research teams to translate business problems into model-ready data sets, feature engineering strategies, and scalable ML workflows.