⚔️   CHARACTER PROFILE   ⚔️

「 The one who knows the most wins. The one who ships it, survives. 」

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Character:     "Parv Agarwal"
Code:          "PARV-01"
Website:       "https://parvagarwal.is-a.dev"

Affiliations:
  Research:    "Junior Research Associate — AI-NLP-ML Lab, IIT Patna"
  Teaching:    "CS Faculty — Poornima University (DSA, DL, Data Science, Cloud)"
  Industry:    "Quantum Course Author — ChipXpert Technologies"
  Online:      "Educator · Content Creator · Freelancer"

Class:         "AI/ML Researcher · Full-Stack Dev · Quantum Engineer · Educator"
Level:         "Mid → Senior (closing the gap at speed)"

Status:        "🔴 Building on three research frontiers simultaneously"
Research_Arc:  "Low-Resource NLP × Neuromorphic LLMs × Quantum-Classical Hybrids"

Research_Focus:
  Primary:
    - "Low-Resource NLP — making language models work for everyone, everywhere"
    - "Neuromorphic LLMs — brain-inspired, spike-based approaches to language"
    - "Quantum-Classical Hybrid architectures — where physics meets ML"
  Secondary:
    - "Embedded Electronics and Edge AI on constrained hardware"
    - "Brain-Inspired Computing for efficient inference"

Engineering_Arsenal:
  - "LLM Fine-tuning via LoRA, QLoRA, RLHF and DPO — end to end"
  - "RAG pipelines with LangChain, LlamaIndex, vector DBs"
  - "Full-stack web apps from React to FastAPI to production deployment"
  - "Quantum Circuit Design with Qiskit and local Aer Simulation"
  - "Tokenisation from scratch — BPE, WordPiece, SentencePiece, Tiktoken"

Currently_Pushing:
  - "Quantum-Classical Hybrid Model architectures that actually run locally"
  - "Neuromorphic approaches to transformer efficiency"
  - "Agentic LLM systems with real-world tool use"
  - "Growing an audience that trusts what I build and teach"

Available_For:   "Research collabs · Freelance builds · Teaching · Coffee chats"
Known_Weakness:  "Rabbit holes with no exit · Bugs at 3AM · Too many tabs open"
Battle_Cry:      "I will keep moving forward."

🧬   RESEARCH SPOTLIGHT   🧬

「 Research at the intersection of classical ML, quantum computing and neuromorphic systems. 」
_{Read more at parvagarwal.is-a.dev}

Area	What it is	Why it matters
🧠 Low-Resource NLP	Building language models that work without massive compute, data, or budget	Most of the world's languages don't have billion-token corpora. Most developers don't have A100s. This research asks how NLP can work for everyone, not just the well-resourced.
⚡ Neuromorphic LLMs	Brain-inspired, spike-based computing architectures applied to language models	The human brain runs on roughly 20 watts. GPT-4 training used gigawatt-hours. Neuromorphic systems process information event-driven, asynchronously — potentially cutting the energy cost of inference by orders of magnitude.
⚛️ Quantum-Classical Hybrids	Circuits that combine quantum operations with classical ML layers	Full quantum computers are years away from practical NLP use. Hybrid architectures — quantum feature maps, variational circuits, quantum attention — give us a way to explore quantum advantage now, on local simulators, with real algorithms.
🔌 Embedded Electronics + Edge AI	Running intelligence on microcontrollers, FPGAs, and constrained systems	A model that only runs in the cloud is a model that fails when connectivity does. Edge AI means the intelligence travels with the device. This intersects directly with low-resource NLP and neuromorphic efficiency work.

🔥   THE ARSENAL   🔥

「 A soldier goes to war with the weapons they have mastered, not the ones they wish they had. 」

_{「 I am the world's greatest detective. I know exactly which model to fine-tune and which vector DB to reach for. 」}

Languages

AI · Machine Learning · Deep Learning

        

LLM Infrastructure · APIs · Serving

           

Vector Databases · RAG · Embeddings

       

Quantum Computing · Neuromorphic

           

Embedded · Edge · IoT

      

Web · Full Stack

Databases · Storage

Infrastructure · DevOps · Cloud

Research · Experiment Tracking · Productivity

        

🛠   WHAT I BUILD AND HOW I CAN HELP   🛠

「 Every wall is just a problem that hasn't been solved yet. 」

If you need this	I can actually do this
🧠 AI / LLM System	End-to-end RAG pipelines, LLM fine-tuning (LoRA/QLoRA/DPO), agent architectures, custom chatbots with memory and multi-step tool use
⚛️ Quantum Computing	Qiskit circuit design, quantum algorithm walkthroughs, hybrid classical-quantum implementations — all running locally, no IBM hardware bill
🧬 Research Collaboration	Low-resource NLP experiments, neuromorphic model prototyping, quantum-classical hybrid architectures — IIT Patna research context
🔌 Edge AI / Embedded	Running ML inference on Raspberry Pi, Arduino, FPGAs — ONNX, TFLite, quantized models, model compression
🌐 Full-Stack Web App	React/Next.js + FastAPI or Node backend, PostgreSQL schema, deployment on cloud or VPS — design to production
📚 Technical Writing / Education	Course outlines, lecture scripts, deep-dive documentation, explainers for complex topics that actually make sense
💬 Technical Consulting	Architecture reviews, model selection, stack decisions — direct, honest, opinionated. No fluff.
✍️ Freelance Builds	ML APIs, data pipelines, internal AI tools, developer docs, proof-of-concept builds with real deliverables

📊   BATTLEFIELD STATS   📊

「 Numbers don't lie. The battlefield never does. 」

  

🎯   ACTIVE MISSIONS   🎯

「 A soldier who doesn't advance is already dead. Forward. Always forward. 」

_{「 Dedicate your heart. Deploy your code. Publish your findings. 」}

Mission	Type	Status	Stack
🔬 Quantum Computing Course — Module 3: Qiskit and Quantum Programming, ChipXpert Technologies	Education	🔴 Active	Qiskit · Aer · Jupyter
🧬 Low-Resource NLP Research — experiments in constrained-compute language modelling at IIT Patna AI-NLP-ML Lab	Research	🔴 Active	PyTorch · HuggingFace · W&B
🤖 Agentic LLM System — multi-step tool-use agent with persistent memory and structured retrieval	Engineering	🟡 Building	LangChain · LlamaIndex · Ollama
🧠 Neuromorphic LLM Exploration — spike-based approaches to attention and language representation	Research	🟡 Exploring	snnTorch · Brian2 · PyTorch
🌐 Personal Portfolio — parvagarwal.is-a.dev	Web Dev	🟢 Live	HTML · CSS · JS
📐 ML Mathematics Notes — graduate-level synthesis covering linear algebra, calculus, probability	Education	🟢 Complete	Python · ReportLab · LaTeX
🧩 RAG Pipeline Architecture Guide — production reference for LangChain retrieval and vector search	Docs	🟢 Complete	LangChain · FAISS · Ollama
🔧 Tokenisation From Scratch — BPE, WordPiece, Unigram, SentencePiece, Tiktoken all implemented	Research + Code	🟢 Complete	Python · HuggingFace
🎤 Quantum Lecture Series — 4-lecture series from gate mathematics through Qiskit fundamentals	Education	🟢 Complete	Markdown · PowerPoint

📓   FROM THE PARV-01 NOTE   📓

「 The human whose code I review shall not be roasted publicly — unless it truly deserves it. 」

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║                                                                      ║
║                    ✦   THE  PARV-01  NOTE   ✦                       ║
║                                                                      ║
╠══════════════════════════════════════════════════════════════════════╣
║                                                                      ║
║  Rule I      The code I ship shall be deployed. There are no        ║
║              exceptions. If it never shipped, it never existed.     ║
║                                                                      ║
║  Rule II     This note shall not take effect unless the writer      ║
║              has actually run the tests at least once in their      ║
║              life before opening a pull request.                    ║
║                                                                      ║
║  Rule III    Every bug has a name and a face. I will find it.       ║
║              I always find it. It is only a matter of time.         ║
║                                                                      ║
║  Rule IV     The commit message must be meaningful. Writing          ║
║              "fix stuff" is not a commit message. It is a           ║
║              distress signal. I am sending help.                    ║
║                                                                      ║
║  Rule V      If you open a pull request without documentation,      ║
║              you have already lost. The docs are the product.       ║
║                                                                      ║
║  Rule VI     I'll take a dataset and analyze it.                    ║
║              The truth was in the distribution all along.           ║
║                                                                      ║
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☕   GRAB A COFFEE WITH ME   ☕

「 The best conversations happen over coffee. The best research ideas happen right after. 」

I genuinely enjoy conversations that go somewhere — whether that's your next AI project, a research rabbit hole you've fallen into, a freelance problem you need a second opinion on, or just what you think is going to happen with quantum computing and neuromorphic systems in the next five years. If any of the following sounds like you, send me a message. I respond to everyone.

You're thinking about...	Let's talk
🤔 Building an AI product but unsure where to start	I've scoped and shipped these. Let's map it out.
🔬 A research problem in NLP, quantum, or neuromorphic computing	I work on these at IIT Patna. Let's dig in.
📖 Learning LLMs, RAG, Qiskit, or neuromorphic ML	I teach this. Ask me literally anything.
💻 Need a full-stack app with AI built in	I build these. Let's scope it together.
📝 Want your technical writing to actually land	I write and edit these. Send it over.
🎓 Confused about the AI/ML/Quantum path to take	I've been there. Happy to share what I know.
🌐 Want to see what I'm currently working on	Visit parvagarwal.is-a.dev — it's all there.
☕ Just want to talk tech, research, life, or all three	Best reason of all.

🌐   FIND ME ACROSS THE WALLS   🌐

「 The walls won't stop information from moving. Neither will I. 」

       

"The only walls that matter are the ones you build inside your own head."

_{— Parv Agarwal, probably at 2AM debugging a quantum circuit with cold coffee, three terminals open, and a neuromorphic paper on the side}