AI Solutions Engineer with 4+ years specializing in production-grade machine learning systems.
Focus on delivering enterprise NLP solutions through:
✓ Scalable LLM Architectures ✓ Optimized Model Inference
✓ Context-Aware RAG Systems ✓ Cloud-native Deployments
✓ Custom Embedding Spaces ✓ High-throughput Data Pipelines
Driven by metrics-focused development and cutting-edge AI research.
PyTorch VectorDB RAGAS
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MongoDB FAISS Custom Embeddings
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▸ Developing token fairness metrics (0-1 scale)
▸ Bias analysis in enterprise LLM systems
▸ Multi-dimensional fairness evaluation matrix
SHAP LIME Attention Analysis
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▸ Reducing positive skewness in encoder outputs
▸ Contrastive learning for balanced representations
▸ Dimensionality impact on semantic clustering
Transformers PCA t-SNE
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Research Progress 2024
Model Fairness ██████████░░░░ 62%
Embedding Opt ████████░░░░░░ 55%