AI Engineer with expertise in the development of applications using Large Language Models (LLMs). Active contributor to open-source projects.
Developing Open-Source software - AVNLP:
- BioThink: Self-Reflective Question-Answering for Biomedical Reasoning.
- LLM-Finetuning: Pipelines for Fine-Tuning LLMs using SFT and RLHF.
- GRPO: Group Relative Policy Optimization (GRPO) Implementations.
- RAG-Model-Training: Training LLMs for Retrieval Augmented Generation.
- RAG Pipelines: Advanced RAG Pipelines and Evaluation: Self-Reflective RAG, Corrective RAG, Adaptive RAG, Sub-Query Generation and Routing, DeepEval.
- DSPy-Opt: Advanced RAG Pipelines optimized with DSPy.
- PRP: Implementation of Pairwise Ranking Prompting (PRP) technique.
- Rankers: LLM based Pairwise, Setwise, and Listwise rankers.
- RRF: Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines.
- LLM Blender: Ensembling LLMs using LLM-Blender.
Open Source Contributions:
- Haystack: deepset-ai/haystack, deepset-ai/haystack-core-integrations
- Massive Text Embedding Benchmark (MTEB): embeddings-benchmark/mteb
- HuggingFace: huggingface/transformers, huggingface/evaluate
- scikit-learn: scikit-learn, imbalanced-learn
I'm best reached via Email or LinkedIn. Open to interesting conversations and collaboration.
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