Machine Learning Engineer with expertise in quantitative finance, real-time applications, and advanced analytics platforms.
I'm a Senior Quantitative Research Analyst at London Stock Exchange Group, specializing in machine learning models for financial instruments and real-time applications. With a strong background in Computer Engineering and Machine Learning, I've developed expertise in quantitative finance, risk assessment, and advanced analytics.
GPA: 3.8
C++, Python, Rust, C, VBA, MATLAB, Bash, C#, R, Linux
GitHub, CI/CD pipelines, Docker, Jira, Asana
SQL, PostgreSQL, NoSQL, AWS, Azure, ETL architecture
ML algorithms, deep learning, YOLO models, computer vision
SABR, GARCH, SV models, risk assessment, pricing models
Low-latency applications, streaming data, WebSocket APIs
Bond pricing, yield curve analysis, and fixed income derivatives
Option pricing models, volatility analysis, and derivatives trading
Complex derivative instruments and structured products
Securities Industry Essentials Examination
Research Analyst Qualification Examination
Chartered Financial Analyst - Level 1 Passed
Chartered Financial Analyst - Level 2 Candidate (Aug '25)
Research Project · Jan 2022 - Jul 2023
Pioneered advanced ML algorithm using YOLO model for robust object detection and tracking of long-range drone signatures.
IEEE ICCE 2024 · Las Vegas, NV
An Overview of Deep Learning in UAV Perception - Published at IEEE International Conference on Consumer Electronics.
IEEE ICCE 2024 · Las Vegas, NV
Novel dataset for long-range drone detection research - Published at IEEE International Conference on Consumer Electronics.
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