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I am a results-driven Machine Learning Engineer with extensive experience designing and deploying robust, scalable ML solutions that directly impact business metrics. I specialize in analyzing complex data patterns, optimizing model performance, and integrating ML into production systems using AWS and CI/CD pipelines. Collaborating with cross-functional engineering teams, I build reliable, high-availability systems and apply predictive modeling and system architecture to improve transaction success rates and payment reliability. I’m excited to bring my expertise to Twine and help drive measurable outcomes.…I am a results-driven Machine Learning Engineer with extensive experience designing and deploying robust, scalable ML solutions that directly impact business metrics. I specialize in analyzing complex data patterns, optimizing model performance, and integrating ML into production systems using AWS and CI/CD pipelines. Collaborating with cross-functional engineering teams, I build reliable, high-availability systems and apply predictive modeling and system architecture to improve transaction success rates and payment reliability. I’m excited to bring my expertise to Twine and help drive measurable outcomes.

Gangaprasad Gude

Data Scientist, AI Engineer, AI Developer, +2

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I am a results-driven Machine Learning Engineer with extensive experience designing and deploying robust, scalable ML solutions that directly impact business metrics. I specialize in analyzing complex data patterns, optimizing model performance, and integrating ML into production systems using AWS and CI/CD pipelines. Collaborating with cross-functional engineering teams, I build reliable, high-availability systems and apply predictive modeling and system architecture to improve transaction success rates and payment reliability. I’m excited to bring my expertise to Twine and help drive measurable outcomes.…I am a results-driven Machine Learning Engineer with extensive experience designing and deploying robust, scalable ML solutions that directly impact business metrics. I specialize in analyzing complex data patterns, optimizing model performance, and integrating ML into production systems using AWS and CI/CD pipelines. Collaborating with cross-functional engineering teams, I build reliable, high-availability systems and apply predictive modeling and system architecture to improve transaction success rates and payment reliability. I’m excited to bring my expertise to Twine and help drive measurable outcomes.

Available to hire

I am a results-driven Machine Learning Engineer with extensive experience designing and deploying robust, scalable ML solutions that directly impact business metrics. I specialize in analyzing complex data patterns, optimizing model performance, and integrating ML into production systems using AWS and CI/CD pipelines.
Collaborating with cross-functional engineering teams, I build reliable, high-availability systems and apply predictive modeling and system architecture to improve transaction success rates and payment reliability. I’m excited to bring my expertise to Twine and help drive measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Machine Learning Engineer at Wipro

September 1, 2024 - September 1, 2024

Designed and deployed scalable ML models to production environments on AWS. Built robust CI/CD pipelines using Jenkins and Docker, ensuring secure and compliant model rollouts. Architected data pipelines to analyze large-scale datasets, identifying underlying patterns to improve model accuracy. Optimized data processing efficiency by 30%, directly contributing to faster decision-making cycles. Implemented monitoring frameworks to track model performance in production, allowing for rapid iteration based on real-world results. Impact: Reduced deployment latency by 40%, enhancing the reliability and responsiveness of critical applications.

Programmer Analyst (Data & Backend) at Cognizant

August 1, 2022 - August 1, 2022

Transaction Data Handling: Developed complex SQL stored procedures to manage and synchronize critical business data, ensuring high integrity and reliability for reporting systems. Performance Improvement: Analyzed system bottlenecks and optimized backend scripts, reducing data reporting latency by 25%. Automation: Automated backend data flows, improving the efficiency of critical transaction-heavy processes by 35%.