╭───────────────────────────────────────────────────────────────╮
│ │
│ ayush@void:~$ whoami │
│ │
│ NAME Ayush Kumar │
│ ROLE AI Engineer │
│ EDUCATION B.Tech AI & Data Science, 2027 │
│ │
│ FOCUS ML Engineering · LLM Engineering │
│ Agentic AI · MLOps │
│ │
│ STACK Python · PyTorch · TensorFlow │
│ LangGraph · FastAPI · Docker │
│ AWS · MLflow · DVC │
│ │
│ STATUS training models. building agents. │
│ shipping things that actually work. │
│ │
╰───────────────────────────────────────────────────────────────╯
projects:
- name: GPT From Scratch
tech: PyTorch
note: decoder-only transformer,
first principles
- name: Agentic Research Assistant
tech: LangGraph · RAG
note: multi-agent autonomous
research pipeline
- name: Brain Tumor MRI Classifier
tech: TensorFlow · FastAPI
note: production medical imaging
classification system
- name: Production RAG Systems
tech: LangChain · FAISS
note: scalable retrieval-augmented
generation at scale |
learning:
- LLM Internals
# attention, KV caches, quantization
- Multi-Agent Systems
# orchestration, tool calling, memory
- Distributed Training
# FSDP, DeepSpeed, gradient checkpointing
reading:
- "Attention Is All You Need"
- "Scaling Laws for Neural LMs"
- "ReAct: Reasoning + Acting"
philosophy: >
if it doesn't solve a real problem,
delete it.
the best model is the one
that's actually deployed. |
────────────────────────────────────────────────────────────────
midnight. rain. code. deploy. repeat.
────────────────────────────────────────────────────────────────
|
GPT FROM SCRATCH Decoder-only transformer built from first principles.
|
AGENTIC RESEARCH ASSISTANT Multi-agent system for autonomous research workflows.
|
|
BRAIN TUMOR MRI CLASSIFIER Production-grade medical image classification system.
|
PRODUCTION RAG SYSTEMS Scalable retrieval-augmented generation pipeline.
|
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"I'd rather be dry, but at least I'm alive." ── the nbhd
────────────────────────────────────────────────────────────────
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│ │
│ ayush@void:~$ cat /etc/motd │
│ │
│ → ship fast. ship often. ship things that matter. │
│ → read papers. write code. repeat. │
│ → the best model is the one that's actually deployed. │
│ → if it can't run in prod, it doesn't exist. │
│ │
│ ayush@void:~$ echo $STATUS │
│ > open to collaborations & opportunities_ │
│ │
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