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I am an AI Engineer with hands-on experience designing and building agentic AI systems, multi-agent orchestration pipelines, and LLM-powered applications. I have designed and deployed systems in a professional wealth management environment, working with LangGraph, NLP, memory architectures, and conversational AI.\n\nI hold an MSc in Data Science from Heriot-Watt University (Dubai) and have four years of financial services experience at BNY Mellon. I excel at translating complex business requirements into intelligent, automated AI-driven solutions, from prototyping to deployment, collaborating with cross-functional teams to deliver measurable impact.…I am an AI Engineer with hands-on experience designing and building agentic AI systems, multi-agent orchestration pipelines, and LLM-powered applications. I have designed and deployed systems in a professional wealth management environment, working with LangGraph, NLP, memory architectures, and conversational AI.\n\nI hold an MSc in Data Science from Heriot-Watt University (Dubai) and have four years of financial services experience at BNY Mellon. I excel at translating complex business requirements into intelligent, automated AI-driven solutions, from prototyping to deployment, collaborating with cross-functional teams to deliver measurable impact.

ALFIYA TAMBOLIAI

AI Engineer, Data Scientist, Web Developer, +4

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I am an AI Engineer with hands-on experience designing and building agentic AI systems, multi-agent orchestration pipelines, and LLM-powered applications. I have designed and deployed systems in a professional wealth management environment, working with LangGraph, NLP, memory architectures, and conversational AI.\n\nI hold an MSc in Data Science from Heriot-Watt University (Dubai) and have four years of financial services experience at BNY Mellon. I excel at translating complex business requirements into intelligent, automated AI-driven solutions, from prototyping to deployment, collaborating with cross-functional teams to deliver measurable impact.…I am an AI Engineer with hands-on experience designing and building agentic AI systems, multi-agent orchestration pipelines, and LLM-powered applications. I have designed and deployed systems in a professional wealth management environment, working with LangGraph, NLP, memory architectures, and conversational AI.\n\nI hold an MSc in Data Science from Heriot-Watt University (Dubai) and have four years of financial services experience at BNY Mellon. I excel at translating complex business requirements into intelligent, automated AI-driven solutions, from prototyping to deployment, collaborating with cross-functional teams to deliver measurable impact.

Available to hire

I am an AI Engineer with hands-on experience designing and building agentic AI systems, multi-agent orchestration pipelines, and LLM-powered applications. I have designed and deployed systems in a professional wealth management environment, working with LangGraph, NLP, memory architectures, and conversational AI.\n\nI hold an MSc in Data Science from Heriot-Watt University (Dubai) and have four years of financial services experience at BNY Mellon. I excel at translating complex business requirements into intelligent, automated AI-driven solutions, from prototyping to deployment, collaborating with cross-functional teams to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Hindi

Fluent

Marathi (Marāṭhī)

Fluent

Arabic

Intermediate

Work Experience

AI Engineer Intern at Omega Wealth Management

September 1, 2025 - Present

Gained hands-on experience designing and building agentic AI systems using LangGraph, including multi-agent orchestration, agent state management, and tool integration. Developed conversation-to-data transformation techniques for structured data extraction from unstructured inputs. Implemented advanced memory architectures (episodic, semantic, and entity-based) using MongoDB Atlas to support persistent, context-aware agent behaviour. Applied NLP techniques including intent classification, dynamic query routing, and prompt engineering to build domain-specific AI workflows. Built experience integrating external APIs and real-time data sources as agent tools within LLM-powered conversational pipelines. Developed and deployed AI-powered applications using Python, Streamlit, and Cerebras LLM; gained practical experience with the full AI development lifecycle from prototyping to deployment. Collaborated with cross-functional teams in a professional wealth management environment, strengthenin

Analyst at Bank of New York Mellon

July 1, 2020 - July 1, 2024

Managed post-trade operations including stock loan and REPO reconciliation for global financial markets. Automated operational workflows reducing settlement turnaround time by approximately 30%. Performed transaction reconciliation and data analysis ensuring financial accuracy and compliance across high transaction volumes. Delivered analytical reports and operational insights to management, improving visibility into process performance. Developed standard operating procedures to enhance operational efficiency and reduce reconciliation errors.