Deepali Chandel
About Deepali Chandel
Deepali Chandel is a Gen AI Engineer at Info Services in Chicago, Illinois, with a background in natural language processing and data science. She co-founded LearnAI in Bangalore, India, and has extensive experience in developing AI solutions and mentoring in the field.
Work at Info Services
Deepali Chandel has been employed at Info Services as a Gen AI Engineer since 2024. In this role, she focuses on developing and implementing generative AI solutions. Her work is based in Chicago, Illinois, United States, where she has contributed to various projects within the organization.
Previous Experience at Alight Solutions
Before joining Info Services, Deepali Chandel worked at Alight Solutions as a Lead NLP Engineer from 2021 to 2024. During her tenure, she developed multi-label text classification systems using large language models. She also executed projects such as BenefitsGPT, a domain-specific question-and-answer system, and created custom named entity recognition systems.
Co-Founder Role at LearnAI
Deepali Chandel co-founded LearnAI in 2021 and has been actively involved in the organization for three years. Based in Bangalore Urban, Karnataka, India, she focuses on mentoring and creating educational content for AI enthusiasts. She also runs a YouTube channel named 'LearnAI' to further support her mission.
Education and Technical Skills
Deepali Chandel earned her Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering from ARYA Institute of Engineering and Technology in Jaipur, Rajasthan, from 2009 to 2013. She possesses technical expertise in deploying scalable AI solutions using cloud services, including Amazon Bedrock, Jumpstart, Comprehend, and Kendra.
Early Career and Mentorship
Deepali Chandel began her career as a Graduate Engineer Trainee at Ericsson in 2014. She later worked as a Data Scientist while self-employed from 2019 to 2023. Additionally, she served as a Data Science Mentor at CodingHero and a Data Science Trainer at LearnDigitalAcademy, contributing to the education and development of aspiring data scientists.