Vaiebhav Shreevarshan R
About Me
Hello there! I'm Vaiebhav, an undergraduate student researcher and application developer
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 Gen 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.
My goal is to be involved in building technology that is efficient, scalable, and genuinely helpful for the overall good.
MOTTO: Always Learning..
Skills & Technologies
Daily Dev
- Generative AI
- Multi Agentic Systems
- Rocketry Avionics
Skill Building
- DSA
- RL
ML/DL Ecosystem
GenAI/NLP Ecosystem
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 Timeline
Engaging in advanced research methodologies. Exploring applications of Generative AI and investigating novel device architectures in Semiconductor technology.
Technologies
Developing scalable, production-grade applications. Applying theoretical knowledge to solve real-world engineering problems in a fast-paced environment.
Technologies
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
- Fest-wide & all-in-one app to manage events, passes, schedules and campus services
- Contributed to the payments module, which processed over 10M+ INR in transactions
- 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!
Direct Contact
Reach out directly via email, or connect with me on professional platforms.