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Professional Overview
I am an AI/ML Engineer specializing in Generative AI and large language model (LLM) applications. I have hands-on experience building production-grade RAG pipelines using LangChain, OpenAI embeddings, and vector databases like Pinecone. I have designed scalable document ingestion systems using AWS Lambda and event-driven architectures. My focus is on building cost-efficient, low-latency AI systems with proper retrieval, re-ranking, and MLOps practices. I am passionate about solving real-world problems using AI and continuously improving system performance, scalability, and reliability.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
