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Aman Kapoor
Intermediate / Mid LevelAI Engineer | Specializing in LLMs, Computer Vision & End-to-End MLOps
Role interests:
- ml (machine learning)
- deep learning
- ai jobs
- computer vision
- generative ai
Skills:
- python
- tensorflow
- computer vision
- natural language processing
Regional interests:
- Remote/Anywhere
- europe
Country interests:
- Remote
- Finland
- Yes
Remote only:
I am an AI Engineer currently advancing his expertise through a Master of Science in Computer Science at the University of Eastern Finland. My professional journey is characterized by a deep focus on the practical application of artificial intelligence, from research to production.
I possesses extensive hands-on experience in designing and implementing intelligent systems across various domains. His core competencies lie in Natural Language Processing—where I had built advanced systems using Transformers, LangChain, and RAG—and Computer Vision, with significant projects in OCR, image segmentation, and object detection using models like YOLO and UNet. A key aspect of my skill set is MLOps; I am proficient in containerizing applications with Docker, orchestrating with Kubernetes, and building robust CI/CD pipelines to ensure scalable and reliable deployments on cloud platforms like GCP and AWS.
My experience includes developing a self-learning AI recruitment agent at Synapse, engineering a real-time health emergency platform at ICONFlyertech, and contributing to open-source education as part of the founding team for a Hugging Face computer vision course. My research contributions include IEEE publications on rumor detection using hybrid CNN models and a comparative analysis of object detection models for maritime surveillance.
Driven by a passion for innovation, I consistently seeking to leverage the latest advancements in AI to create solutions that are not only technologically sophisticated but also deliver measurable business value.
I possesses extensive hands-on experience in designing and implementing intelligent systems across various domains. His core competencies lie in Natural Language Processing—where I had built advanced systems using Transformers, LangChain, and RAG—and Computer Vision, with significant projects in OCR, image segmentation, and object detection using models like YOLO and UNet. A key aspect of my skill set is MLOps; I am proficient in containerizing applications with Docker, orchestrating with Kubernetes, and building robust CI/CD pipelines to ensure scalable and reliable deployments on cloud platforms like GCP and AWS.
My experience includes developing a self-learning AI recruitment agent at Synapse, engineering a real-time health emergency platform at ICONFlyertech, and contributing to open-source education as part of the founding team for a Hugging Face computer vision course. My research contributions include IEEE publications on rumor detection using hybrid CNN models and a comparative analysis of object detection models for maritime surveillance.
Driven by a passion for innovation, I consistently seeking to leverage the latest advancements in AI to create solutions that are not only technologically sophisticated but also deliver measurable business value.
Job Types:
- Internship
- Part Time
- Full Time
- Contract