Pradeep Reddy V
Backend Engineer | AI Systems | Distributed Applications
Backend engineer who reduced partner onboarding from weeks to days at India's fastest-growing fintech bank. Built systems processing 100+ TPS with <1s latency. Currently pursuing MSCS at Arizona State University, building AI-Powered Systems & Distributed Applications.
About Me
Hi, I'm Pradeep! MS in Computer Science at Arizona State University. At IDFC First Bank, I reduced partner onboarding by 67% and built API platforms for Amazon Pay, Flipkart, and other fintech partners.
I build full-stack apps, ML systems, and cloud infrastructure. Recent work: OmniSense (HackASU 2025) that democratizes prediction market analysis using multi-agent AI orchestration
Let's connect if you're building something interesting.
7000+
API Endpoints Managed
60%
Efficiency Improvement
95%
ML Model Accuracy
50%
Cost Reduction (AWS)
Education
Master of Science in Computer Science
Arizona State University, Tempe
Expected December 2026Relevant Coursework: Distributed Database Systems(MS), Statistical Machine Learning(MS)
Bachelor of Technology in Computer Science and Engineering
PES University, Bangalore
August 2019 - May 2023Relevant Coursework: Data Structures and Algorithms, Software Engineering, Web Development, Cloud Computing, Machine Intelligence, Big Data. Published research in Springer Nature on autonomous driving assistance systems.
Awards: Distinction Award.
Professional Experience
Software Engineer, API Integration Team
IDFC First Bank
July 2023 - July 2025- Architected RESTful APIs and microservices for Partner Developer Portal with sandbox environment and dynamic API response simulation using swagger, enabling fintech partners (Amazon Pay, Cred) to explore and test integrations before dev environment access, reducing onboarding from 12 days to 4 days by eliminating pre-approval access barriers.
- Developed full-stack API Inventory Platform for lifecycle and compliance tracking, improving cross-team efficiency by 70% and reducing RBI (Reserve Bank of India) compliance delays by 40% via advanced filters and metadata workflow automation.
- Optimized high-throughput Digital Lending APIs to handle 100+ TPS for Aadhaar OTP and CKYC flows, improving onboarding performance and regulatory compliance with sub-second latency.
- Contributed to infrastructure modernization, including On-Premise to AWS migration, MySQL to Oracle transition, disaster recovery upgrades, achieving 99.9% uptime, and reducing infrastructure costs by 50%.
Application Engineer Intern, API Integration Team
IDFC First Bank
February 2023 - June 2023- Developed RESTful APIs integrating Salesforce data via MuleSoft with OAuth 2.0 authentication and Redis caching (TTL-based), reducing SFDC calls, cutting costs, and decreasing fetch time by 65%.
Machine Learning Engineer Intern, Computer Vision Team
Arternal
May 2021 - October 2021- Optimized computer vision models for fruit-harvesting robot, improving disease classification F-1 score by 0.35, detection accuracy by 0.2, and reducing inference time by 20% for real-time deployment.
Featured Projects
Skills & Technologies
Publications & Achievements
Smart Driving Assistance Using Deep Learning
Co-authored research paper on driver assistance system with lane detection achieving 95%+ reliability and YOLO + CNN models trained on GTSRB dataset to 90%+ accuracy for traffic sign recognition with integrated voice alerts.
Competitive Programming Achievement
Achieved Global Rank 22 out of 3,200 participants in Code-Chef April Long Challenge 2022, demonstrating strong problem-solving skills and algorithmic thinking.
Get In Touch
Let's work together!
I'm always open to discussing new opportunities, interesting projects, and collaborations.