Contributions
About
AI Engineer specialized in small language model (SLM) development, Prompt engineering, AI agent engineering, and Generative AI systems. I design and deploy production-grade AI solutions that combine compact, efficient models with advanced orchestration pipelines, delivering scalable and high-performing applications.
I focus on bridging the gap between cutting-edge AI research and real-world use cases—creating reliable, resource-efficient models and intelligent agents tailored for practical deployment.
🔹 Small Language Model Development
Build and optimize SLMs for efficiency and on-device deployment
Fine-tune compact models (LLaMA, Mistral, Hugging Face) for specialized tasks
Implement quantization, pruning, and distillation techniques for performance gains
Design evaluation tools and benchmarking workflows for SLM performance
🔹 AI Agent Engineering
Architect intelligent agents using LangChain, LlamaIndex, and Model Context Protocol (MCP)
Build Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone and FAISS
Integrate APIs, tools, and real-time data into autonomous agent workflows
Ensure secure, consistent, and verifiable agent actions in complex environments
🔹 Generative AI & Applied AI
Deploy generative systems for NLP, knowledge management, and decision support
Develop semantic search, embeddings, and reasoning pipelines
Optimize inference on GPU-powered and resource-constrained infrastructure
🔹 MLOps & Cloud AI
End-to-end model lifecycle: training, fine-tuning, deployment, and monitoring
Deliver cloud-native AI deployments on AWS (SageMaker, EC2, S3) and GCP AI services
Implement scalable vector search and semantic retrieval for enterprise-grade solutions
Passionate about advancing small language models and intelligent agents, I deliver future-ready AI systems that are efficient, secure, and impactful across industries.
Core Skills
✅ Small Language Model Development • Quantization • Distillation
✅ AI Agent Engineering (LangChain, LlamaIndex, MCP)
✅ Generative AI • RAG Pipelines • LLM Fine-Tuning
✅ Hugging Face Transformers • GPT • Claude • LLaMA • Mistral
✅ Vector Search (Pinecone, FAISS) • Semantic Embeddings
✅ GPU Inference • MLOps • Cloud AI (AWS SageMaker, GCP AI Services)
✅ NLP • AI Ethics • Performance Optimization
I am deeply inspired by Amazon’s Leadership Principles and how they drive innovation and collaboration. I strive to embody all 16 in my work, with Customer Obsession, Dive Deep, and Earn Trust standing out as my strongest values, guiding me to deliver impactful and reliable solutions.
I focus on bridging the gap between cutting-edge AI research and real-world use cases—creating reliable, resource-efficient models and intelligent agents tailored for practical deployment.
🔹 Small Language Model Development
Build and optimize SLMs for efficiency and on-device deployment
Fine-tune compact models (LLaMA, Mistral, Hugging Face) for specialized tasks
Implement quantization, pruning, and distillation techniques for performance gains
Design evaluation tools and benchmarking workflows for SLM performance
🔹 AI Agent Engineering
Architect intelligent agents using LangChain, LlamaIndex, and Model Context Protocol (MCP)
Build Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone and FAISS
Integrate APIs, tools, and real-time data into autonomous agent workflows
Ensure secure, consistent, and verifiable agent actions in complex environments
🔹 Generative AI & Applied AI
Deploy generative systems for NLP, knowledge management, and decision support
Develop semantic search, embeddings, and reasoning pipelines
Optimize inference on GPU-powered and resource-constrained infrastructure
🔹 MLOps & Cloud AI
End-to-end model lifecycle: training, fine-tuning, deployment, and monitoring
Deliver cloud-native AI deployments on AWS (SageMaker, EC2, S3) and GCP AI services
Implement scalable vector search and semantic retrieval for enterprise-grade solutions
Passionate about advancing small language models and intelligent agents, I deliver future-ready AI systems that are efficient, secure, and impactful across industries.
Core Skills
✅ Small Language Model Development • Quantization • Distillation
✅ AI Agent Engineering (LangChain, LlamaIndex, MCP)
✅ Generative AI • RAG Pipelines • LLM Fine-Tuning
✅ Hugging Face Transformers • GPT • Claude • LLaMA • Mistral
✅ Vector Search (Pinecone, FAISS) • Semantic Embeddings
✅ GPU Inference • MLOps • Cloud AI (AWS SageMaker, GCP AI Services)
✅ NLP • AI Ethics • Performance Optimization
I am deeply inspired by Amazon’s Leadership Principles and how they drive innovation and collaboration. I strive to embody all 16 in my work, with Customer Obsession, Dive Deep, and Earn Trust standing out as my strongest values, guiding me to deliver impactful and reliable solutions.