Rajesh Reddy Padigela
AI Engineer with 5+ years of experience building AI-driven solutions and full-stack web applications using Python, Django, and JavaScript/TypeScript.
About
AI Engineer with 5+ years of experience building AI-driven solutions and full-stack web applications using Python, Django, and JavaScript/TypeScript. Experienced in end-to-end system design, ML model development, and production deployment with a focus on performance and user impact.
Collaborates effectively with cross-functional teams to deliver reliable AI features, integrates RESTful APIs and cloud services, and improves scalability and reliability using AWS and CI/CD practices. Passionate about continuous learning and has multiple ML and cloud certifications.
- 5 years' experience
- Joined July 2026
Industry experience
- Financial Services
- Software & Internet
- Computers & Electronics
- Professional Services
- Telecommunications
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Work experience
Spearheaded AI-driven solutions using Python and Django, improving system performance by 30% through optimized algorithms and robust architecture. Integrated ML models with RESTful APIs, increasing user engagement by 25%. Built scalable AWS-based applications with high availability and security compliance, reducing downtime by 40%. Improved prediction accuracy by 15% using statistical data analysis and model validation. Implemented CI/CD pipelines to reduce release cycles from weeks to days while maintaining code quality. Developed interactive real-time dashboards using JavaScript and TypeScript. Mentored junior engineers, facilitated stakeholder meetings, and evaluated new tools/frameworks to boost team productivity by 20%.
Developed and deployed machine learning models with Python and TensorFlow, improving fraud detection accuracy by 35% and reducing financial losses. Built robust data pipelines with Apache Spark for efficient processing and analysis. Enhanced performance by 20% via ensemble learning and hyperparameter tuning. Automated data collection and preprocessing, reducing manual effort by 50%. Conducted A/B testing to evaluate model impact and enable product improvements. Implemented security and privacy measures for compliance. Presented outcomes to executive leadership to support further investment, led ML workshops, and contributed to open-source projects.
Designed and implemented ML models to predict customer behavior, increasing retention by 30% via targeted marketing. Collaborated with product teams to integrate AI into existing platforms, improving functionality and user experience. Built data visualization tools in Python and Tableau to support real-time, data-driven decisions. Validated models for production reliability and accuracy, optimized data processing workflows using SQL and Python (reducing processing time by 40%), and assisted with migration of legacy systems to cloud solutions to improve scalability and reduce costs. Participated in code reviews, documentation, and continuous learning.
Education
Certifications and awards· 6
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