AI Engineer
IAV GmbH
Building multi-agent and RAG-based AI systems with memory and document understanding for enterprise workflows.
I engineer scalable ML solutions that bridge deep learning research with real-world deployment.

IAV GmbH
Building multi-agent and RAG-based AI systems with memory and document understanding for enterprise workflows.
Freelance
Delivered end-to-end AI and ML solutions for data-driven products and automation.
Machine Learning 1
Developed automated data extraction and annotation pipelines to improve ML model training and data processing efficiency.
Abacus Consulting
Built and optimized Spring Boot systems for secure automation and workflow reliability.
Core ML engineering, data processing and model development.
Large Language Models, RAG and generative pipelines.
Scalable deployment, automation and infrastructure.
API development, frontend integration and tooling.
Amazon Web Services
Jun 2025
Demonstrated ability to design, deploy, and optimize scalable cloud architectures for AI/ML workloads on AWS.
DeepLearning.AI
Oct 2023
Mastered foundational and advanced deep learning techniques, including CNNs, RNNs, and sequence modeling.
DeepLearning.AI
Aug 2023
Built a solid foundation in supervised, unsupervised, and applied ML systems with real-world case studies.
Udemy
Jul 2022
Gained practical experience in data analysis, visualization, and model building using Python’s ML ecosystem.
Udemy
Sep 2022
Strengthened problem-solving and algorithmic thinking skills essential for efficient AI and ML development.
A data-driven web app to forecast cricket innings outcomes using historical match data.
A web app to classify different mango varieties based on UAV imagery.