Working at the intersection of Machine Learning, AI Systems, and Applied Research — building models and systems that generalize to real-world constraints.
| Module | Status |
|---|---|
| 🤖 Machine Learning & Deep Learning | [ACTIVE] |
| 🧠 Computer Vision & Natural Language Processing | [ACTIVE] |
| 🔗 Scalable Training, Fine-Tuning & Optimization | [ACTIVE] |
| 📊 Structured Reasoning & Representation Learning | [ACTIVE] |
| ⚛️ Quantum Machine Learning & Noise Modeling | [ACTIVE] |
$ whoami- 🎓 Computer Science Engineering student
- 🧪 Published researcher in Quantum Machine Learning / Noise Modeling (NISQ systems)
- 🏗️ Build full-stack AI systems combining LLMs + retrieval + structured reasoning
- 🧠 Strong foundation in algorithms and competitive programming
- 📚 Interested in bridging AI research ↔ production systems
$ cat /etc/tech-stack.conf# Programming
# AI / ML
# Research Areas
# Systems
# Tools
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Building scalable, research-driven AI systems that connect:
[ theoretical machine learning ] ──⟶ [ practical intelligent systems ] ──⟶ [ real-world deployment ]
/* The goal is not to build models, but to build systems that think, retrieve, and reason. */
