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> whoami
class Rohan:
role = "AI Engineer & Author"
school = "MS in Artificial Intelligence @ SUNY Buffalo"
based_in = "wherever curiosity takes me"
obsessed_by = ["neural networks", "deep learning", "computers", "general relativity", "quantum mechanics", "first-principles thinking", "the path to AGI"]
builds = ["AI products", "software apps", "books", "homelab infra"]
motto = "obsession > motivation"I treat AI, math, and code as tools to solve mysteries, find hidden patterns, and build cool things by trying out new stuff. I don't chase motivation — I run on obsession, ambition, and a refusal to settle for mediocre.
+ Cadence → a new iOS app coming soon.
+ Homelab v2 → more self-hosted services, deeper devops
+ Research rabbit → obsessing over frontier AI breakthroughs
+ Writing → my next bookSelf-published on Amazon. Fiction, non-fiction, philosophy, and one deep learning textbook.
| Title | Genre | |
|---|---|---|
| 📘 | Deep Learning Deciphered — neural networks explained through the lens of Sherlock Holmes | Technical |
| 🔍 | Grounds For Suspicion: A Julius Brandt Murder Mystery — a whodunit in the spirit of the classics | Mystery |
| 💱 | The Incentive Engine: Capitalism Works (Yes, Really) — three rivals, one collapsing reserve currency, the universe as a balance sheet | Sci-Fi |
| 🐢 | Achilles and the Tortoise: Dialogues on a Godless Universe — faith vs. science, in the spirit of classic philosophical dialogues | Philosophy |
AI-powered nutrition app for Android. Check it out on Google Play Store now! Custom computer-vision models that identify 260+ foods in real time, barcode scanner, meal planner generating across 2M+ recipes daily, and full progress tracking. Built end-to-end under my startup Tensorbuilds — PyTorch models trained from scratch, React Native frontend, deployed on Oracle Cloud.
PyTorch · Computer Vision · React Native · Oracle Cloud · Ubuntu
Personal homelab on bare-metal Proxmox. Self-hosted containers + VMs, reverse proxies, Cloudflare tunnels, SSL cert management, custom subdomain routing. A deep dive into the unglamorous side of devops.
Proxmox · Docker · Linux · Cloudflare · Nginx
Object detection with transfer learning — experiments across pretrained models plus a novel iterative fine-tuning approach for custom datasets. Full technical report in the repo.
PyTorch · YOLO-NAS · Transfer Learning
languages: [Python, C++]
ml_dl: [PyTorch, scikit-learn, OpenCV, HuggingFace]
ai_apps: [LangChain, RAG, Vector DBs, LLM fine-tuning]
mobile_web: [React]
infra: [Docker, Proxmox, Linux, Cloudflare]
data: [NumPy, Pandas, MongoDB]- ✍️ Blog — essays on cinema, travel, tech, and whatever I'm obsessing over this week
- 📺 YouTube — videos about what I do
- 🍳 Macros with Flavor — high-protein recipes (cookbook in the works)
> "My dream is to build superintelligent AI systems that can recursively improve themselves and usher us into an age of unstoppable technology singularity"
> end_of_transmission_