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I'm Boni Preetam Kakarla, an AI/ML Engineer based in the United States with a track record of delivering predictive analytics, generative AI, and scalable model deployment for enterprise clients. I enjoy translating complex models into actionable business insights while upholding ethical AI practices and privacy compliance. I thrive in cross-functional teams and global projects, continuously learning to power trustworthy, cost-efficient AI solutions. When I'm not coding, I focus on solving challenging problems, collaborating with product, legal, and engineering teams, and staying ahead of industry standards in responsible AI, data security, and regulatory compliance.…I'm Boni Preetam Kakarla, an AI/ML Engineer based in the United States with a track record of delivering predictive analytics, generative AI, and scalable model deployment for enterprise clients. I enjoy translating complex models into actionable business insights while upholding ethical AI practices and privacy compliance. I thrive in cross-functional teams and global projects, continuously learning to power trustworthy, cost-efficient AI solutions. When I'm not coding, I focus on solving challenging problems, collaborating with product, legal, and engineering teams, and staying ahead of industry standards in responsible AI, data security, and regulatory compliance.

Boni Preetam Kakarla

AI Engineer, Data Scientist, Developer, +2

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I'm Boni Preetam Kakarla, an AI/ML Engineer based in the United States with a track record of delivering predictive analytics, generative AI, and scalable model deployment for enterprise clients. I enjoy translating complex models into actionable business insights while upholding ethical AI practices and privacy compliance. I thrive in cross-functional teams and global projects, continuously learning to power trustworthy, cost-efficient AI solutions. When I'm not coding, I focus on solving challenging problems, collaborating with product, legal, and engineering teams, and staying ahead of industry standards in responsible AI, data security, and regulatory compliance.…I'm Boni Preetam Kakarla, an AI/ML Engineer based in the United States with a track record of delivering predictive analytics, generative AI, and scalable model deployment for enterprise clients. I enjoy translating complex models into actionable business insights while upholding ethical AI practices and privacy compliance. I thrive in cross-functional teams and global projects, continuously learning to power trustworthy, cost-efficient AI solutions. When I'm not coding, I focus on solving challenging problems, collaborating with product, legal, and engineering teams, and staying ahead of industry standards in responsible AI, data security, and regulatory compliance.

Available to hire

I’m Boni Preetam Kakarla, an AI/ML Engineer based in the United States with a track record of delivering predictive analytics, generative AI, and scalable model deployment for enterprise clients. I enjoy translating complex models into actionable business insights while upholding ethical AI practices and privacy compliance. I thrive in cross-functional teams and global projects, continuously learning to power trustworthy, cost-efficient AI solutions.

When I’m not coding, I focus on solving challenging problems, collaborating with product, legal, and engineering teams, and staying ahead of industry standards in responsible AI, data security, and regulatory compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

AI/ML Engineer at Scale AI

January 1, 2025 - Present

Fine-tuned large language models with Hugging Face, improving prediction accuracy by 30% and reducing task completion time by 40%. Deployed CNN- and Transformer-based computer vision models on AWS SageMaker using Docker and FastAPI, achieving 98% classification accuracy and reducing inference latency by 25% in real-time image recognition. Automated CI/CD pipelines with GitHub Actions, Docker, and Kubernetes to improve deployment reliability by 30% and shorten release cycles by 35%. Designed real-time monitoring and alerting frameworks for ML models to reduce production failures by 20%. Integrated bias detection and fairness metrics to reduce model bias by 20% and improve AI ethics compliance. Implemented privacy-preserving AI techniques and encryption strategies to achieve GDPR/CCPA/HIPAA compliance across sensitive datasets. Collaborated with legal, product, and engineering teams to ensure audit clearance for enterprise deployments. Reduced cloud infrastructure costs by 25% through Sa

AI/ML Engineer at Fractal Analytics

January 1, 2021 - July 1, 2023

Designed predictive models using regression, clustering, and decision trees in scikit-learn, boosting forecasting accuracy by 35% for retail inventory and demand planning. Built RNN and Transformer architectures in PyTorch for time-series forecasting, reducing forecasting errors by 22%. Engineered ETL pipelines with SQL, Pandas, and NumPy, cutting data preparation time by 45% and improving dataset quality. Standardized feature engineering to enhance model robustness by 18%. Delivered Tableau and Power BI dashboards, cutting reporting cycles by 30%. Automated experimentation with Azure ML and Google Colab, shortening prototyping cycles by 35%. Implemented anomaly detection for financial datasets to reduce fraud detection latency by 25%. Improved deployment success rates by 28% through containerized ML solutions with Docker.