About Me
I'm Pranav Rayaprolu from Andhra Pradesh, currently pursuing my B.Tech in Computer Science and Engineering atVellore Institute of Technology. I started my academic journey with Java and gradually expanded into web development and AI, which led me to intern as an AI Engineer at INTRAINTECH, where I worked on real-world AI-powered solutions.
One of my proudest achievements is building LifeSync, a personal companion app that enhances work-life balance through intelligent task organization. I also developed a smart assistant, similar to Alexa, withcontextual awareness, earning me a ₹3000 cash prize in a university competition. Another project I led focuses on turning meeting discussions into actionable insights to improve corporate productivity.
I'm passionate about building user-centric applications that solve real-world problems. My strengths include a strong curiosity to learn, adaptability, and effective collaboration. While I strive for perfection in every task, I'm actively working on improving task prioritization in fast-paced environments.
Beyond tech, I'm an avid singer, enjoy sketching, and love to teach and share knowledge. I'm eager to contribute to a forward-thinking organization where I can leverage both my technical and management skills while growing with emerging technologies.
Technical Skills
My expertise across various technologies and domains
AI/ML
Programming
Frameworks
Frontend
Backend
Professional Experience
My journey in AI and software development
AI Engineer Intern
Intraintech
Leading AI research and development initiatives, building scalable machine learning systems that serve millions of users.
Key Achievements:
- Developed an AI-integrated backend, boosting NLP response accuracy by 20%
- Created interactive data dashboards, enhancing analytical insights by 15%
- Led a cross- sectional team of 6 members utilising ability to communicate and collaborate, decision- making and strategic-thinking to achieve project goals and ensuring to meet deadlines effectively
- Implemented Agile methodologies, ensuring on-time feature rollouts and refining data visualisation for actionable insights.
Published a research paper
Conducted research on deep learning applications in computer vision and contributed to open-source projects.
Key Achievements:
- Co-authored paper on novel CNN architecture
- Contributed to PyTorch and TensorFlow ecosystems
- Presented research at international conferences
Personal Interests
What I'm passionate about beyond coding
Open Source
Contributing to AI and ML libraries
Technical Writing
Sharing knowledge through blogs and articles
Mentoring
Helping aspiring developers grow
Photography
Capturing moments and landscapes
Singing
Creating electronic music with AI tools
Travel
Exploring new cultures and technologies