Abdul Razzaq
@abdulrazzaq6
I build machine learning systems for fraud detection, tampering detection, and predictive analytics.
IndiaWhat I'm looking for
I'm building AI-powered detection systems at Dataflow Group, where I developed a tampering detection pipeline from data analysis through model optimization that achieved 93% accuracy.
Previously, at IBM, I cleaned and standardized 32,000 rows of financial data, engineered features, and trained credit-default classification models reaching 87% accuracy. At Bluestock, Fintech, I developed fraud detection models that analyzed transaction anomalies and achieved 93.7% accuracy.
I've also built LSTM stock forecasting, Huffman-based file compression, and disease prediction projects, and I enjoy exploring open-source work and collaborative development.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Dataflow Group
Apr 2026 - Present (4 months)
Developed an AI-powered tampering detection system from scratch, achieving 93% detection accuracy by owning the complete machine learning pipeline. Automated a manual inspection process using AI, improving operational efficiency and consistency.
Education
Degrees, certifications, and relevant coursework
University of Petroleum and Energy Studies
Bachelor of Technology, Computer Science
2022 - 2026
Pursuing a Bachelor of Technology in Computer Science, with coursework in data structures, algorithms, machine learning, and database management.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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