Pascal Rai - AI Engineer
Portfolio on the way ...
Summary
Hey there, I'm Pascal! 🚀
I'm a self-taught AI enthusiast passionate about exploring the endless possibilities of artificial intelligence. My love for research drives me to dive into new technologies and breathe life into them with enthusiasm and immediacy.
I thrive on problem-solving, always looking for the most efficient ways to tackle challenges. While my main focus is AI, I also have some sprinkle of knowledge on solution architecture, DevOps, backend development, and the nuts and bolts of computer hardware.
If you’re working on an exciting AI project or just want to chat about the latest trends, feel free to reach out. Let's connect and see where our ideas can take us! 🌟
Work experience
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Frost Digital Ventures
AI Engineer
Apr 2024 - Present
Responsibilities
- Engineered and optimized scalable intelligent workflows leveraging cutting-edge LLM technologies, FastAPI, and containerization, leading to an 80% reduction in resource utilization.
- Implemented advanced embedding models for multi-faceted applications, including a semantic-based recommendation engine, scaling multiple systems and improving operational efficiency.
- Streamlined and optimized AWS cloud services, cutting costs by 50% while preserving service quality, scalability, and reliability.
- Maintained Kubernetes (K8s) deployment clusters and assisted server migration to local cloud providers.
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Freelance
Cloud DevOps Architect
May 2024 - Jun 2024
Responsibilities
- Containerized deployment of a 3-tier .NET application with MSSQL database.
- Implemented automated CI/CD pipelines using Jenkins and Docker.
- Secured domain with SSL certificates and configured Nginx for reverse proxy, enhancing security and traffic management.
- Optimized AWS services for cost-efficiency and performance, and ensured periodic database backups.
- Managed DNS records for seamless server connectivity and set up domain validation for domain-based email communications.
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CodeHimalaya
AI Developer
Dec 2022 - Apr 2024
Responsibilities
- Explored and implemented advanced computer vision architectures, including VGG, ResNet, EfficientNet, and ViT, for efficient model selection across diverse tasks.
- Mentored interns and junior developers in computer vision, chatbot development using Rasa, and building production-ready models.
- Developed and integrated an Elasticsearch vector database into a RAG-based chatbot to enhance semantic search capabilities.
- Built and deployed a Siamese network using ResNet with triplet-loss, achieving an F1 score of 0.989 for image comparison tasks.
- Created a large-scale automatic mailing pipeline with entity extraction using SpaCy and custom BERT NER models.
- Developed and containerized a Flask-based sentiment analysis web app and a disease classifier using HuggingFace sentence embeddings.
- Designed and implemented a PySpark-based movie recommendation engine and worked with Elasticsearch for data aggregation and visualization.
- Built custom object detection models using VGG16 and developed a face recognition system with OpenCV and Facenet.
Education
Projects