Anshika Ambavat — Software Engineer

I am currently pursuing a Bachelor of Technology in Computer Science Engineering with a focus on Artificial Intelligence at Indira Gandhi Delhi Technical University for Women, maintaining a CGPA of 9.32. I have a strong academic background, having scored 94% in Class XII and 93.4% in Class X at Queen Mary’s School, Delhi. As a dedicated and innovative Software Development Engineer Intern at Motorq Labs, I specialize in designing and developing interactive dashboards and user interfaces using Next.js. My work focuses on enhancing operational efficiency and streamlining decision-making by centralizing critical information. I have successfully transitioned from Grafana to Apache Superset, achieving a 46% reduction in loading times, and automated end-to-end testing using Cypress and TypeScript. Previously, as an Artificial Intelligence Intern at Newtek Solutions, I developed real-time facial recognition and attendance tracking systems, achieving a high accuracy rate of 87%. My projects include an automated facial scanning system and a face mask detection system with a 94% accuracy rate, leveraging Python, OpenCV, and deep learning techniques. My technical skills span Java, Python, deep learning algorithms, and a range of relevant coursework, including Operating Systems, Object-Oriented Programming in Java, Artificial Intelligence, Data Science, Computer Networks, and Data Structures and Algorithms. I have been recognized among the top 75 participants at Uber She++ 2023 and was a finalist in Morgan Stanley’s prestigious Code To Give Hackathon 2023.

Stackforce AI infers this person is a Software Engineer with a focus on AI and SaaS solutions.

Location: New Delhi, Delhi, India

Experience: 1 yr 4 mos