Professional Overview
As a seasoned AI Engineer and Machine Learning Specialist, I excel at designing and deploying cutting-edge Generative AI (GenAI) solutions and building AI agents that transform business operations and decision-making. With expertise in Retrieval-Augmented Generation (RAG), knowledge graphs, and scalable AI systems, I deliver intelligent solutions that enhance efficiency and drive impactful results.Highlights of my career include:Advanced RAG Systems: Built and optimized RAG pipelines using Neo4j, LangGraph, and Falkor DP, enabling contextual query resolution and improved decision-making for enterprises.AI Agent Development: Designed and deployed AI agents for stock market analysis, leveraging real-time data and user-defined criteria to recommend optimal trading strategies.Generative AI Expertise: Delivered scalable GenAI solutions, including large language models like GPT-4, vector databases, and tokenization techniques for personalized and dynamic workflows.Fraud Detection and Prevention: Implemented machine learning models for anomaly detection, account monitoring, and risk assessment, achieving measurable improvements in security and operational efficiency.Knowledge Graph Engineering: Configured and integrated advanced graph algorithms for large-scale data ingestion and retrieval, streamlining information access for mission-critical applications.I am passionate about combining innovation with practical implementation, whether leading AI-driven projects, mentoring teams, or driving cross-functional collaboration. With a proven ability to harness technology for measurable business impact, I am committed to delivering solutions that enhance productivity, customer experience, and organizational success.Let’s connect to discuss how AI can transform your business challenges into scalable, impactful solutions!
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
