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Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

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Asar007/README.md
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🚀 Professional Overview

👨‍💻 The Engineer

I am an AI Engineer specializing in production-grade Generative AI systems, RAG pipelines, and scalable backend architectures. My work focuses on reducing LLM hallucinations and optimizing context efficiency for real-world applications.

Currently, I am architecting hybrid Graph-RAG systems and developing novel context injection methods (TOON) to maximize LLM performance on consumer hardware.


Current Focus:
  • 🛠️ Deep Learning: PyTorch, Transformers, CNNs, LSTMs
  • 🤖 GenAI Agents: RAG, LangChain, FAISS, Agentic Workflows
  • ⚙️ System Design: Latency Optimization, Microservices (FastAPI)

📈 Impact & Metrics

  • Graph-RAG Architecture:
    Integrated static dependency graphs with semantic search, boosting component extraction accuracy from 40% to 90%.
  • Context Optimization (TOON):
    Implemented Token-Oriented Object Notation, reducing input token usage by 40% and doubling context window capacity.
  • Deepfake Detection:
    Fine-tuned Inception ResNet V1 (PyTorch) achieving 96% accuracy on custom validation datasets.
  • High-Performance RAG:
    Engineered a chatbot with sub-800ms latency (P95) and reduced VRAM usage by 60% via 4-bit quantization.

🛠️ The Arsenal

Languages


AI & Data Science


Backend & Cloud


Tools & Platforms

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