1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
She has recently completed her graduation from XXXX, majoring in AI and Innovation where she learned some AI technologies, research, and some management concepts as well including entrepreneurship and management of AI team. She has overall 8 years or experience in machine learning and artificial intelligence and she works specifically with clients such as one from the telecom industry for a typical machine learning project; she did the entire pipeline from scratch to the deployment in their own environment. She has also worked on RAG, a part of LLM and a chat bot-based application, and when she worked with XXXX, she built RAG from scratch using GCP, AWS, and LangChain framework. Her last role was with XXXX as a Lead Data Scientist where she worked on the governance side of the project; the project was a legacy code to be converted to Python. She worked on the AI management and ISO 42001 certification, and was able to successfully get the certification for the project. Her daily role back then was to work on the development side of the project which is COBOL-based code; she also successfully changed the language model from Gemini to OpenAI.
Her tech stack includes programming languages such as Python, Jupiter, Git, VSCode, and when it comes to data science and traditional machine learning, she has been involved with exploratory data analysis, feature engineering, visualizations, and business storytelling, data modeling, and so on. During her university, she completed about two projects on image processing through TensorFlow; she also has fine-tuned large language models using the PEFT and LoRa technologies.
2. What skill(s) / experience would you self-describe as strongest or specialist in?
Strongest skill would be machine learning, particularly traditional machine learning; she has worked on transformers, fine-tuning different models, LLM-based applications, and so on. She considers herself quite good in the entire AI system since she has worked from the old machine learning, traditional machine learning, to the recent advancements in AI.
3. Do you have the lists of key criteria’s according to the clients’ requirements?
She has about 8 years of experience in AI and ML engineering, especially during her time working in India. Strong Python skills and has been using this for all of her projects, also hands-o with micro services and APIs, together with databases such as SQL and AWS S3. Well-versed with Docker and Kubernetes, as well as Airflow and MLFlow for orchestration.
