Ekaagra Gupta

I am a bachelor’s (computer science and engineering Specialization in Artificial Intelligence and Machine Learning ) student at MUJ(Manipal University Jaipur) graduating in 2028 . At the moment as a pre-final year undergraduate , I am interning with the MNIT(Malaviya National Institute of Technology Jaipur) , where I work on a modular Retrieval-Augmented Generation (RAG) pipeline - implementing and optimizing large-scale inference workflows using vLLM, Hugging Face Transformers, and PyTorch on NVIDIA GPUs.

Before joining MNIT, I was an AI/ML Intern at CoreGen, where I worked on satellite image super-resolution with a full-stack MERN dashboard for visualizing reconstruction outputs and explored lightweight object detection (MobileNet SSD) with real-time anomaly detection. I am also quite fond of mentoring in Workshops, technical talks, and community contributions

Apart from the experiences above, I have also dabbled with functional competitive programming leetcode and type + proof theory, more of explainable ai models , machine learning , writing experience about my workspaces and Apart from the work above, I am also fairly active in campus technical leadership — currently Technical Co-Lead at Google Developer Groups, Joint Head (Sponsorship and Curation) at IEEE Computational intelligence society, and Technical Joint Head at DevForge

Moreover, I develop research-driven systems of my own projects .I am currently interested in Machine Learning Engineering (Computer Vision and HCI, Edge AI, Systems for ML, Physics-aware ML) and High-Performance Agentic multi-models - gen ai and XAI. I advocate for and am extremely passionate about research and open-science research-based publications