Computer Science @ IIT Jodhpur • Backend & Systems • AI/ML • Quantitative Computing
I enjoy building systems that are scalable, efficient, and actually useful.
My interests lie at the intersection of:
- Backend & distributed systems
- AI/ML infrastructure
- Quantitative modeling
- Open-source engineering
- Blockchain & protocol-level systems
build useful things • learn deeply • stay curious
- 🎓 B.Tech CSE @ IIT Jodhpur
- ⚙️ Interested in systems engineering & high-performance computing
- 🧠 Exploring AI/ML, diffusion models, and optimization research
- 📈 Learning quantitative finance & probabilistic modeling
- 🌐 Open-source contributor and builder
- 🐧 Linux enthusiast
- Diffusion Models
- Reinforcement Learning
- Deep Learning Pipelines
- Quantitative Modeling
Research-oriented project exploring inference-time optimization for Diffusion Transformers (DiT-XL/2).
- Hard token pruning
- FFN width pruning
- Reinforcement-learning based pruning schedules
- GFLOPs reduction with minimal FID degradation
Enterprise-grade Single Sign-On system integrating institutional services with token-based authentication.
- Frontend + backend architecture
- Secure authentication workflows
- Scalable service integration
Photo → 3D room reconstruction pipeline using AI & rendering systems.
- Depth estimation
- NLP-based furniture generation
- Three.js visualization
Quantitative finance toolkit for:
- Monte Carlo simulations
- Risk-return modeling
- Statistical analysis
- Portfolio evaluation
- Distributed systems
- Bitcoin & blockchain internals
- High-performance ML inference
- AI systems engineering
- Quantitative research workflows
- Codeforces
- CodeChef
- LeetCode
Focused on improving problem-solving, algorithms, and systems-level thinking.
- GitHub: https://github.com/AnmolM-777
- LinkedIn: YOUR_LINKEDIN
- Email: YOUR_EMAIL
“Stay curious. Build deeply. Learn publicly.”