Case Studies &
Architectural Breakdowns
Deep-dive technical reports outlining production-grade LLM fine-tuning, latency optimization profiles, and customized search retrieval infrastructure.
Fine-Tuning Llama 3.1 8B for Custom Style Transfer
A deep dive into dataset curation bottlenecks, QLoRA rank adapters selection, and serving high-throughput inference using vLLM speculative decoding.
Speculative Decoding in Production: 3x Throughput Improvement
Implementing a Llama 3.1 1B draft model to speculate tokens for Llama 3.1 70B inside vLLM, scaling token generation and dropping latency under heavy concurrent loads.
Hybrid Vector Search & Cross-Encoder Re-Ranking
Replacing legacy sparse search with dense vector HNSW retrieval paired with Qdrant and optimizing retrieval relevance using custom trained BGE Re-Rankers.
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