Ayush Gupta

Utilize in-depth knowledge of Large Language Models (LLM), Generative AI (GenAI), and Multi-Modal Language Models (MLLM) to prototype, develop, and deploy large-scale AI products. Conduct rigorous testing and validation of models. Containerize LLM models for deployment across diverse environments using Azure VM. Oversee all stages of the development lifecycle. Lead efforts in researching, building, and training innovative applications using advanced AI techniques. Provide expert technical guidance to clients adopting LLM technologies. Mentor junior developers and team members.

Lead a team of data scientists in developing cutting-edge AI solutions. Leverage open-source LLMs like LLAMA2, Mistral, and commercial offerings like OpenAI's GPT series, Claude (Anthropic), Microsoft Bing, and Google Bard. Worked and integrated Generative AI tools including DALL-E, CLIP, Stable Diffusion models (ComfyUI, ControlNet, AnimateDiff), and LoRA models. Leveraged agile project management tools like Notion.AI, JIRA, Clubhouse, and Slack.

AI engineering and development at NoBorders Cooperation.

Fit machine learning algorithms on datasets involved in variable selection, model optimization, model comparison and Validation. Compute the importance ranking of different features. Data mining or extracting usable data from valuable data sources. Performed data cleaning and data preparation including transforming features, creating features and dealing with missing values using Python. Collected business requirements and collaborated with Business and IT teams.

Participates in design of call monitoring formats and quality standards. Performs call monitoring and provides trend data to the site management team. Uses a quality monitoring data management system to compile and track performance at team and individual level. Participates in client listening programs to identify customer needs and expectations. Coordinates and facilitates call calibration sessions for staff.