About

Garima Garg is a highly motivated Software Engineer at Cisco with a keen interest in Machine Learning. She has an impressive track record, having published two research papers at IEEE and ranked AIR 861 in TCS 2020 Codevita. Additionally, she has qualified for GATE 2021, showcasing her technical proficiency. Garima is a dedicated professional who always maintains the dignity of her work and bears a positive attitude with leadership qualities. She has presented a research paper at an international conference, ICBMA-2020, and published it in Springer. She is striving to achieve more publications and make a significant contribution to the field of technology. Garima's technical skills are diverse, including C, C++, Java, Python, NLP, and Machine Learning. She is proficient in Flask API and RASA Chatbot development. She has also worked with Elastic Search, MySQL, Kafka, and Keras, and has experience with AI, Deep Learning, and Recommendation Systems. Garima has 1.86 years of relevant experience as a Software Engineer, having previously worked at EPAM-DEP as a Junior Software Engineer. She has a Bachelor of Technology in Computer Engineering from Graphic Era Hill University, where she studied from 2017 to 2021. Overall, Garima is a highly skilled and dedicated professional with a passion for technology and a desire to make a significant contribution to the field. She is an asset to any organization she works with and is always looking for new challenges to further her career.