Vaiebhav Shreevarshan R
About Me
Hello there! I'm Vaiebhav, an adaptable developer experienced in app development. I believe the most crucial skill in this era is the ability to adapt to new technologies and theories, constantly learning and improving.
My interests are present heavily in NLP, Generative AI, and even Agentic AI, where I focus on building applications designed to help others and contribute positively. I'm drawn to seemingly harder problems, preparing for them through dedicated effort. One of my key strengths is learning not just from my own experiences, but also by understanding the lessons learned by others, effectively broadening my own insights.
My goal is to be involved in building technology that is efficient, scalable, and genuinely helpful for the overall good.
Data Science
Machine Learning / Deep Learning
Cybersecurity
Education
Established a strong foundation in engineering and technology through rigorous academic training at one of India's premier technical institutions.
Comprehensive engineering program focusing on electronics, communication, and control systems with strong emphasis on mathematical foundations and practical applications. To bridge the gap between theoretical studies and real-world problem solving, I have expanded my practical expertise by actively working on specialized Study Oriented Projects (SOP) and Lab Oriented Projects (LOP) under the mentorship of esteemed professors.
Experience
Working on Fest app development projects, mentoring junior developers, and building scalable mobile solutions using Flutter. Learning React Native.
Technologies:
Currently Learning:
Projects
- Low Resource, Kaggle based AI pipeline that extracts and summarizes content(Qwen 2 7B Instruct) from websites and PDFs; Generates images(stable-diffusion-xl); Assembles into customizable newsletter templates
- Managed memory efficiently by loading and unloading models for better performance
- A multi-agentic parallel system to autonomously parse and convert unstructured data from academic handouts to extract exam details from multiple PDF sources into standardized .ics files enabling 1-click seamless integration with Google and Outlook Calendars
- Optimized computation upto 60% through a custom page-filtering logic reducing token usage
- A QA bot that utilizes RAG and Langchain pipeline for vector storage, retrieval and to processes PDF documents to answer user queries
Let's Connect
Whether you’re interested in working together, need a dedicated developer, or just want to say hi, I would love to connect!