My Professional Timeline

vaibhav.prasad@gmail.com

LinkedIn: linkedin.com/in/vaibhav-prasad-462b811aa

Courseware

 Data Structures & Algorithms | Operating Systems | Artificial Intelligence | Deep Learning | Computer Networks | Database  Management Systems | Compiler Design | Cloud Computing (AWS Solutions Architect Track 

Career Summary 

I am a fourth year Computer Science student at Vellore Institute of Technology, Vellore, Tamil Nadu, India specializing in AI and Machine Learning. I aim ready to apply my technical skills in a challenging environment, contribute to innovative projects, and gain valuable industry experience. My goal is to leverage cutting-edge technologies to solve real-world problems and collaborate with top minds in the tech industry.

Professional Experience

• Summer Intern, Cadence Design Systems (Bangalore, India) May  to July 2025 (Ongoing)

• Summer Intern, Synopsys Inc. (Bangalore, India | June 2024 – July 2024). . 

Project @Synopsys

• Conducted a comparative analysis of VM pricing across Azure, AWS, and Google Cloud Platform
• Developed a Python automation script to predict new product prices based on configurations

Education

• Bachelor of Technology, Computer Science and Engineering (Final Year)
• Vellore Institute of Technology, Vellore, India | 2022-2026 Batch
•  CGPA: 8.97

• XII, CBSE Board
• Delhi Public School, Bangalore North, India | 2020 – 2022
• Percentage: 94%

• Class X, CBSE Board
• Delhi Public School, Bangalore North, India | 2020
• Percentage: 94%

Projects/Hackathons

• InnerBalance  
•   HTML, CSS, JavaScript
•  Developed a mental health tracking tool focusing on planning and prototyping.

• FemmeInTech  
•  Chatbot  
•   Empowered women in tech by creating a platform offering mentorship and community support.

• ResQDrone  
•   Object Detection (Yolo r8), HTML, CSS, JavaScript, Thermal Imaging  
•   A non-profit project using drone technology for disaster search and rescue.

• Stock Index Prediction
•   Linear Regression
•   Built an application that predicts stock indices using Linear Regression and Python.

Skills

• Programming Languages: Python, C, C++
• Database Management: MySQL, MongoDB
• Machine Learning: Regression, Classification, Clustering, Deep Learning, Image Classification
• Automation: Python 

Languages

• English/French/Hindi

Certifications/Courses/Workshops

• Microsoft Azure AI Fundamentals (AI-900) exam with a score of 945/1000.
• Mastering Generative AI hosted by Techobytes Technologies held at Indian Institute of Technology, Madras  (Fundamentals of Neural Networks, RNNs, Transformers, and NLP)
• Introduction to Image Generation (LinkedIn Learning)
• Introduction to Large Language Models In Learning) (LinkedIn Learning)
• Introduction to Large Language Models
• Generative AI: The Evolution of Thoughtful Online Search (LinkedIn Learning)
• How to Boost Your Productivity with AI Tools (LinkedIn Learning)
• Machine Learning Foundations: Linear Algebra (LinkedIn Learning)