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Hi, I'm Nikhila Reddy, a machine learning engineer with 4 years of experience in building high-performance predictive models and automated data pipelines. I specialize in deploying ML solutions that improve operational efficiency and collaborating with cross-functional teams to drive data-informed decision-making. I enjoy working with deep learning, statistical analysis, and CI/CD tools to create scalable and reliable systems. Currently, I am focusing on developing AI-powered solutions that enhance security and compliance, leveraging cloud platforms such as AWS, GCP, and Azure. I’m passionate about transforming data into actionable insights and building innovative products that deliver real business value.…Hi, I'm Nikhila Reddy, a machine learning engineer with 4 years of experience in building high-performance predictive models and automated data pipelines. I specialize in deploying ML solutions that improve operational efficiency and collaborating with cross-functional teams to drive data-informed decision-making. I enjoy working with deep learning, statistical analysis, and CI/CD tools to create scalable and reliable systems. Currently, I am focusing on developing AI-powered solutions that enhance security and compliance, leveraging cloud platforms such as AWS, GCP, and Azure. I’m passionate about transforming data into actionable insights and building innovative products that deliver real business value.

Nikhila Reddy

AI Engineer, Data Scientist, Developer, +1

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Hi, I'm Nikhila Reddy, a machine learning engineer with 4 years of experience in building high-performance predictive models and automated data pipelines. I specialize in deploying ML solutions that improve operational efficiency and collaborating with cross-functional teams to drive data-informed decision-making. I enjoy working with deep learning, statistical analysis, and CI/CD tools to create scalable and reliable systems. Currently, I am focusing on developing AI-powered solutions that enhance security and compliance, leveraging cloud platforms such as AWS, GCP, and Azure. I’m passionate about transforming data into actionable insights and building innovative products that deliver real business value.…Hi, I'm Nikhila Reddy, a machine learning engineer with 4 years of experience in building high-performance predictive models and automated data pipelines. I specialize in deploying ML solutions that improve operational efficiency and collaborating with cross-functional teams to drive data-informed decision-making. I enjoy working with deep learning, statistical analysis, and CI/CD tools to create scalable and reliable systems. Currently, I am focusing on developing AI-powered solutions that enhance security and compliance, leveraging cloud platforms such as AWS, GCP, and Azure. I’m passionate about transforming data into actionable insights and building innovative products that deliver real business value.

Available to hire

Hi, I’m Nikhila Reddy, a machine learning engineer with 4 years of experience in building high-performance predictive models and automated data pipelines. I specialize in deploying ML solutions that improve operational efficiency and collaborating with cross-functional teams to drive data-informed decision-making. I enjoy working with deep learning, statistical analysis, and CI/CD tools to create scalable and reliable systems.

Currently, I am focusing on developing AI-powered solutions that enhance security and compliance, leveraging cloud platforms such as AWS, GCP, and Azure. I’m passionate about transforming data into actionable insights and building innovative products that deliver real business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Afar

Advanced

Work Experience

Machine Learning Engineer at PNC

August 1, 2024 - Present

Developed and implemented an ML-driven data protection framework using TensorFlow and scikit-learn, incorporating RBAC and automated data masking in Snowflake, which reduced unauthorized access incidents and ensured GDPR and CCPA compliance. Spearheaded the development of an AI-powered RBAC system using containerized TensorFlow and NLP models deployed on Cloud Run, with Cloud Functions for orchestration, cutting access request processing time from 48 hours to 30 minutes. Applied supervised ML models using PyTorch and XGBoost for analyzing user access patterns, integrating with Vertex AI for model monitoring, achieving 95% accuracy in fraud detection while maintaining security compliance. Designed GitOps pipelines using Terraform and Cloud Build for infrastructure-as-code deployment across GCP services, reducing configuration errors. Established monitoring systems using Cloud Operations and Data Studio dashboards for real-time access pattern visualization, enabling risk identification a

Machine Learning Engineer at Vivma Software Inc

December 31, 2019 - July 18, 2025

Designed recommendation systems using PyTorch and transformer models, increasing user engagement by 23%, and implemented A/B testing with MLflow experiment tracking that verified statistically significant improvements across user segments. Containerized machine learning models using Docker and deployed via Kubernetes, establishing REST APIs that handled over 5,000 concurrent requests in production. Developed monitoring systems with MLflow to detect model drift, implementing automated retraining protocols with Scikit-learn to maintain prediction accuracy despite changing data patterns, while storing performance metrics in PostgreSQL. Collaborated with product teams to translate business requirements into technical specifications, documenting model architectures and delivering solutions generating $800K in additional revenue. Created simplified reporting mechanisms that translated ML model outputs into clear, actionable insights for product managers and stakeholders.