Sensay.io

● Research about the techniques to make RAG quality of the product better. ● Check of the vendor providers prices of the hardware for running application in production ● Preparing datasets for custom LLM fine-tuning. ● Prompt engineering techniques usage to make sure the input prompt covers the product updates. ● Helping to onboard new customers to the platform. ● Help to HR team to make clear HR policy documents.

Solvd

● Creation of pre-sales materials with a focus on the technological aspects of the solution. ● Doing technical calls with the Clients with AI/ML tools suggestions. ● Creation of internal documentation about the use of AI/ML tools in the development process. ● Consulting and knowledge sharing sessions conducting. ● Conducting technical engineering interviews with the approved candidates. ● Testing third-parties AI/ML solutions before the production stage. ● Hiring people to the team. ● Built a recommendation engine and classifier model for the Client, Azure based solution. ● Made system design documents for a Client and for internal AI/ML project. ● Fine-tuned and updated Microsoft PHI-3 LLM on custom datasets with the use of Autotrain library on Hugginface.

Glimpse Analytics

● Making a Docker image to run Core library inside within the Openvino dependencies requirements. ● Preparing validation datasets for Detection and Tracking algorithms in MOT format. ● Preparing training datasets from customer’s data for custom Detection and Classification use cases, and training and validating models on them. ● Models conversion, optimization and delivery. ● Research on a more accurate Tracking algorithms with checking them on customers’ videos. ● Core code refactoring.