Teja Krishna Cherukuri
Machine Learning Engineer Ii @Chewy
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WORK HISTORY
Machine Learning Engineer Ii @Chewy
Plantation, FL, US
Design and productionize scalable time-series and machine learning forecasting systems to estimate financial and marketing metrics across the enterprise, enabling forward-looking decision-making for Finance leadership.• Build robust, efficient Python-based data pipelines for feature engineering, model training, inference, and monitoring, ensuring high data quality, reproducibility, and reliable automation at scale.• Develop AI-driven narrative generation agents to explain MBR/QBR variances versus forecast, combining structured financial data with LLM-based reasoning to produce consistent, executive-ready commentary.• Implement anomaly detection frameworks and intelligent alerting agents to identify metric deviations, surface root causes, and enable proactive intervention across financial and operational KPIs.
EDUCATION
Vijayasri Sunflower High School, Challapalli
Class 10
Vignan's Foundation for Science, Technology & Research
Bachelor of Technology - BTech, Computer Science
Georgia State University
Master of Science - MS, Computer Science
Sri Chaitanya College of Education
Intermediate, MPC
ABOUT TEJA KRISHNA CHERUKURI
Hello! I am Teja. I am a Machine Learning Engineer alias Data Scientist with around 5 years of experience in application development and research.Expertise in developing and deploying models for predictive analytics, classification, regression, image processing, and NLP tasks. Skilled in extracting insights from large datasets, feature engineering, model tuning, and hyper-parameter optimization. Proficient in deep learning frameworks like TensorFlow and PyTorch, with experience in building models for both structured and unstructured data. Strong background in integrating ML solutions into business applications, conducting A/B testing, and evaluating model performance. Experienced with AWS services for scalable ML deployment and MLOps practices to streamline model development and deployment workflows. Collaborative team player focused on continuous innovation, staying up-to-date with AI/ML- Background in building end-to-end ML-driven solutions with significant business impact- Applied research experience at the intersection of CV and NLP, with 12 publications.* Customizing & Finetuning LLMs/CNN architectures.* Attention Networks to focus on ROIs in an Image.* Multi-modal Fusion and Generative Modeling through VAEs and Transformer architectures- Loves to cook and sport.
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