Shaik Mohammed Ashik
@shaikmohammedashik
I build cloud-native fintech payment, lending, and reconciliation platforms.
What I'm looking for
At Affirm, I build Python Flask payment orchestration and credit decision services for BNPL checkout, supporting 1.4 million monthly transactions and real-time underwriting for 120,000 applicants. I also developed a React consumer dashboard that improved page load time by 32% and optimized SQL access patterns to reduce loan repayment processing latency by 41%.
Previously at Tata Consultancy Services, I built Django and Kafka payment reconciliation pipelines handling up to 18,000 events per second, optimized transaction datasets exceeding 500 million rows, and shortened deployment time from 45 to 12 minutes. I enjoy delivering secure, compliant fintech features across payments, lending, AWS, Azure, CI/CD, and production monitoring.
Experience
Work history, roles, and key accomplishments
Developed Python Flask payment orchestration service for BNPL checkout, integrating React flows and AWS services, processing 1.4 million monthly transactions. Built React-based consumer dashboard for loan schedules and repayments, improving page load time by 32 percent.
Education
Degrees, certifications, and relevant coursework
Wright State University
Master of Science, Computer Science
2024 -
Pursuing a Master of Science in Computer Science at Wright State University, expected to complete in December 2025.
Sona College of Technology
Bachelor of Engineering, Computer Science Engineering
2019 - 2023
Earned a Bachelor of Engineering in Computer Science Engineering from Sona College of Technology, graduating in July 2023.
Availability
Location
Authorized to work in
Job categories
Skills
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