| Domain | Proficiency | Level |
|---|---|---|
NLP & Text Intelligence |
████████████████████ 95% |
🔥 Expert |
Computer Vision |
███████████████████░ 92% |
🔥 Expert |
Generative AI & LLMs |
██████████████████░░ 88% |
⚡ Advanced |
RAG & Knowledge Systems |
█████████████░░░░░░░ 68% |
⚡ Advanced |
Vector Databases |
█████████████░░░░░░░ 65% |
⚡ Advanced |
LLM Fine-Tuning (LoRA/QLoRA) |
██████████░░░░░░░░░░ 50% |
🌱 Building |
Agentic AI & Multi-Agent |
████████░░░░░░░░░░░░ 45% |
🌱 Building 🔥 |
Model Compression & Quant |
████████░░░░░░░░░░░░ 45% |
🌱 Learning |
LangChain & LangGraph |
████████░░░░░░░░░░░░ 45% |
🌱 Learning 🔥 |
| 🔧 | Fine-tuned LLMs with LoRA & QLoRA — parameter-efficient training on open-source models |
| 🧪 | Experiments spanning NLP, GenAI, LLM evaluation — tracked, versioned, reproducible |
| 📦 | Model cards with detailed training configs, hyperparameters & benchmarks |
| 🤝 | Open to collaborations on model fine-tuning, research & AI systems |
💬 "Where my models live rent-free." 🏠
— Janani V · probably at 2 AM debugging a fine-tune 🌙
Open to AI research collaborations, internships & building impactful things in the LLM / GenAI space.
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║ ║
║ "The best way to predict the future is to build it." ║
║ — Alan Kay ║
║ ║
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