Hello! I am Ashar Siddiqui, an AI/ML Engineer based in Melbourne, Australia. My passion for data science and artificial intelligence drives my research and development efforts. I'm dedicated to utilizing cutting-edge techniques to tackle complex challenges and deliver innovative solutions. I love collaborating with teams to create impactful projects, all while continuously learning and improving my skills in this dynamic field. Looking forward to connecting with like-minded professionals!

Ashar Siddiqui

Hello! I am Ashar Siddiqui, an AI/ML Engineer based in Melbourne, Australia. My passion for data science and artificial intelligence drives my research and development efforts. I'm dedicated to utilizing cutting-edge techniques to tackle complex challenges and deliver innovative solutions. I love collaborating with teams to create impactful projects, all while continuously learning and improving my skills in this dynamic field. Looking forward to connecting with like-minded professionals!

Available to hire

Hello! I am Ashar Siddiqui, an AI/ML Engineer based in Melbourne, Australia. My passion for data science and artificial intelligence drives my research and development efforts. I’m dedicated to utilizing cutting-edge techniques to tackle complex challenges and deliver innovative solutions. I love collaborating with teams to create impactful projects, all while continuously learning and improving my skills in this dynamic field. Looking forward to connecting with like-minded professionals!

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Advanced
Hindi
Fluent

Work Experience

Graduate Associate at OPTIMA
August 1, 2025 - December 1, 2025
Developed regime-aware reinforcement learning models for financial forecasting, integrating statistical drift detection and adaptive retraining mechanisms to address distribution shift in non-stationary markets. Built and deployed an end-to-end MMD-based distribution shift detection pipeline on AWS, enabling real-time regime monitoring for an external trading agent system. Performed volatility clustering analysis and regime-specific model optimization to improve predictive stability.
Analyst Intern at Chainlink, Vancouver
September 1, 2021 - February 1, 2022
Tested pricing models for assets such as gold and government-issued bearer bonds. Deployed ML models on cloud, and worked on the tokenomics distribution for the currency 'LINK'. Conducted algorithmic optimization for market algorithms and high-frequency trading.
Teaching Assistant at University of Melbourne
February 1, 2025 - October 1, 2025
Conducted workshops for Natural Language Processing and Data Science. Delivered weekly tutorials and graded assignments for undergraduate computer science students. Conducted exam workshops and guest lectures on 'Blockchain in the New Economy'.
Teaching Assistant at IIIT SriCity
January 1, 2022 - April 1, 2023
Assisted undergraduate students in subjects including Natural Language Processing, Computer Vision, and Artificial Intelligence. Designed workshop materials and quizzes, conducted lab sessions, and supervised a research group in Bio-informatics.

Education

Master of Computer Science at University of Melbourne, VIC
July 1, 2023 - July 1, 2025
Bachelor of Technology at Indian Institute of Information Technology, Sri City, India
August 1, 2019 - May 1, 2023

Qualifications

AWS Certified Cloud Practitioner
January 11, 2030 - March 16, 2026
Stanford Machine Learning by Andrew NG
January 11, 2030 - March 16, 2026
Deep Learning Specialization
January 11, 2030 - March 16, 2026
AI for Everyone
January 11, 2030 - March 16, 2026
Trading, Machine Learning and GCP, NYU
January 11, 2030 - March 16, 2026

Industry Experience

Computers & Electronics, Education, Financial Services, Healthcare, Life Sciences