Ayush Goyal — Backend Engineer
I am Ayush Goyal, a Computer Science and Engineering student (AI & ML specialization) at Ramdeobaba University, with a 10/10 CGPA and a strong foundation in software engineering, backend systems, and cloud-native applications. With experience in backend development, full-stack applications, and cloud deployments, I have contributed to impactful projects during internships at INVSTO and IIT Bombay, along with international academic exposure in Japan. Professional Experience Backend Intern at INVSTO (Jan 2025 – Jul 2025, Remote – Pennsylvania, USA) Optimized 120+ APIs and deployed 7 AWS applications with 99.9% uptime. Built Azkaban pipelines processing 50K+ records/day and upgraded trading libraries for 40% better analytics. UI/UX and Backend Intern at IIT Bombay (Sep 2024 – May 2025, Remote – Mumbai, MH) Led a team of 5 in developing a full-stack ML web application integrating 3+ models. Designed workflows in Figma and built REST APIs with Django REST, Docker, and SQLite. Research & Industry Exposure Selected for a Transdisciplinary Research Visit to Hiroshima University, Japan (Jan–Feb 2025). Engaged with research in AI, ML, and semiconductors at RISE, and visited Micron Semiconductors and JFE Steel for industrial exposure in automation and sustainability. Projects & Achievements TravelHunt (Manipal Hackathon – National Finalist): Built a gamified tourism platform with React Native, Node.js, and MongoDB. Delivered a scalable prototype within 48 hours as part of Team TechNomads. Technical Skills C++, Python, JavaScript, SQL | Django, FastAPI, Node.js, Express.js | React, Next.js, Figma | PostgreSQL, MongoDB, SQLite | AWS, Docker, Git What Drives Me I am passionate about building scalable backend systems, cloud-native solutions, and AI-driven applications that create real-world impact. I thrive in collaborative, fast-paced environments and aim to contribute to innovative projects bridging technology with global challenges.
Stackforce AI infers this person is a Backend and Cloud Developer with a focus on AI and ML applications.
Location: Nagpur, Maharashtra, India
Experience: 0 mo
Career Highlights
- Achieved 10/10 CGPA in Computer Science and Engineering.
- Optimized 120+ APIs with 99.9% uptime during internship.
- Led a team to develop a full-stack ML web application.
Education
Bachelor of Engineering - BE at Shri Ramdeobaba College of Engineering and Management