- Systems Engineer @ Infosys; Previously @ Linux Foundation, ETH Zurich, NASA; Total of 2+ years of experience.
- Contributor @ Rust, PyTorch, Open Mainframe Project.
- I code, design, cook, ideate, & research.
- Interested to work on: agents, computational neuroscience, ML compilers, ML inference, backend systems, payments, web3.
[1] Pranav Gupta, Advith Krishnan, Naman Nanda, Ananth Eswar, Deeksha Agrawal, Pratham Gohil, and Pratyush Goel. 2025. "ViDAS: Vision-based Danger Assessment and Scoring". In Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP '24). Association for Computing Machinery, New York, NY, USA, Article 29, 1–9. [Link].
[2] Advith Krishnan, Saad Yunus Sait. ”Understanding Fine-grained classification with Deep Learning through Fish Species Identification” (Bachelor Thesis).
[3] Amutha A L, Krishnan A, Varatharajan T, Kumar A, Ramasubramanian M, Krishnaraj L ”Optimizing smoke detection: A hybrid U-Net Approach with advanced CNN models through satellite image segmentation”.
- 🎥 Sovereign-MCP @ ETHOnline 2026 (solo participation) [Link].
- 🎥 Summer Mentorship 2025: RAG to Riches - Using Your Legacy Data, Advith Krishnan [Link].
- 📰 Linux Foundation Mentorship – OMP Summer 2025 Mentee Spotlight [Link].
- 📝 Paper Presenation at Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2024 [Link].
Preferably reach via email ( [email protected] ), or use any of the social channels provided below my profile picture.