class Abhiram:
degree = "B.Tech CSE — AI/ML Specialization"
location = "India 🇮🇳"
passions = [
"Large Language Models",
"Generative AI & RAG",
"Deep Learning",
"LangChain & LangGraph",
]
current_grind = [
"Building LLM-powered apps 🤖",
"DSA mastery in Java ☕",
"Learning Docker & Kubernetes 🐳",
]
motto = "Every problem has an elegant solution hidden in the data 🔍"| 🔥 Area | 🛠️ Currently Doing | 🚀 End Goal |
|---|---|---|
| LLMs & GenAI | LangChain agents, RAG pipelines | Production-grade AI applications |
| Deep Learning | CNNs, Transformers, Attention | Research-level model mastery |
| DSA in Java | Trees, Graphs, DP, OOP | Crack top-tier tech interviews |
| DBMS / SQL | Query optimization, Indexing | Solid AI app backends |
| AI Fine-tuning | LoRA, instruction tuning | Custom domain-specific LLMs |
| Docker 🐳 | Containerization fundamentals | Deploy AI apps seamlessly |
| Kubernetes ☸️ | Cluster management, pods | Scalable ML infrastructure |
╔══════════════════════════════════════════════════════════════════╗
║ ║
║ 🔗 LangChain ── Robust LLM pipelines & tool-use agents ║
║ 🕸️ LangGraph ── Stateful multi-agent orchestration ║
║ 🤗 HuggingFace ── Fine-tuning open-source transformers ║
║ 🧬 Deep Learn. ── Neural architectures & attention ║
║ 💬 Prompt Eng. ── Crafting precise AI instructions ║
║ 🗃️ RAG Systems ── Retrieval-augmented generation ║
║ ☕ Java + DSA ── Data Structures, Algorithms & OOP ║
║ 🗄️ SQL / DBMS ── Relational design & query mastery ║
║ 🐳 Docker / K8s ── Containerizing & scaling AI workloads ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
