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I am an experienced AI/ML Engineer with over 3 years of demonstrated expertise in developing, training, and deploying advanced machine learning models to solve complex business challenges. With proficiency in cloud platforms like AWS and Azure, I build scalable, performant AI solutions that enhance decision-making and operational efficiency. I specialize in leveraging cutting-edge algorithms such as XGBoost, LightGBM, and transformer models like BERT to deliver impactful results in customer segmentation, fraud detection, and predictive analytics. Passionate about continuous learning, I utilize advanced hyperparameter tuning and real-time monitoring to optimize model performance and business outcomes.…I am an experienced AI/ML Engineer with over 3 years of demonstrated expertise in developing, training, and deploying advanced machine learning models to solve complex business challenges. With proficiency in cloud platforms like AWS and Azure, I build scalable, performant AI solutions that enhance decision-making and operational efficiency. I specialize in leveraging cutting-edge algorithms such as XGBoost, LightGBM, and transformer models like BERT to deliver impactful results in customer segmentation, fraud detection, and predictive analytics. Passionate about continuous learning, I utilize advanced hyperparameter tuning and real-time monitoring to optimize model performance and business outcomes.

Arun Kumar Chukkala

AI Engineer, AI Developer, Data Scientist, +1

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I am an experienced AI/ML Engineer with over 3 years of demonstrated expertise in developing, training, and deploying advanced machine learning models to solve complex business challenges. With proficiency in cloud platforms like AWS and Azure, I build scalable, performant AI solutions that enhance decision-making and operational efficiency. I specialize in leveraging cutting-edge algorithms such as XGBoost, LightGBM, and transformer models like BERT to deliver impactful results in customer segmentation, fraud detection, and predictive analytics. Passionate about continuous learning, I utilize advanced hyperparameter tuning and real-time monitoring to optimize model performance and business outcomes.…I am an experienced AI/ML Engineer with over 3 years of demonstrated expertise in developing, training, and deploying advanced machine learning models to solve complex business challenges. With proficiency in cloud platforms like AWS and Azure, I build scalable, performant AI solutions that enhance decision-making and operational efficiency. I specialize in leveraging cutting-edge algorithms such as XGBoost, LightGBM, and transformer models like BERT to deliver impactful results in customer segmentation, fraud detection, and predictive analytics. Passionate about continuous learning, I utilize advanced hyperparameter tuning and real-time monitoring to optimize model performance and business outcomes.

Available to hire

I am an experienced AI/ML Engineer with over 3 years of demonstrated expertise in developing, training, and deploying advanced machine learning models to solve complex business challenges. With proficiency in cloud platforms like AWS and Azure, I build scalable, performant AI solutions that enhance decision-making and operational efficiency.

I specialize in leveraging cutting-edge algorithms such as XGBoost, LightGBM, and transformer models like BERT to deliver impactful results in customer segmentation, fraud detection, and predictive analytics. Passionate about continuous learning, I utilize advanced hyperparameter tuning and real-time monitoring to optimize model performance and business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Jefferies Group

March 1, 2024 - Present

Designed and deployed machine learning models for predicting Customer Lifetime Value using large-scale datasets (15 million+ records). Utilized AWS services such as S3 and SageMaker for scalable model training and deployment, processing over 10TB of data monthly with 99.9% uptime. Improved forecasting accuracy by 25% using algorithms like XGBoost, LightGBM, and CatBoost, enhancing client segmentation and increasing customer retention by 18%. Led hyperparameter tuning via Optuna and Bayesian Optimization, reducing training time by 40% and boosting predictive accuracy by 15%. Applied deep learning models (LSTM and BERT) for customer behavior prediction, increasing retention by 20%. Deployed models through AWS Lambda enabling serverless, real-time insights, resulting in a 25% rise in marketing ROI.

Associate AI/ML Engineer at Experian

December 1, 2022 - August 26, 2025

Developed and implemented an anomaly detection system for real-time fraud detection monitoring over 1 million daily transactions. Collaborated with cross-functional teams integrating AI techniques including deep learning and reinforcement learning, improving fraud detection accuracy by 30%. Built data pipelines handling over 10TB monthly using Azure Data Factory, reducing processing time by 25%. Applied Isolation Forest and Autoencoders to reduce false positives by 40%, increasing recall by 20%. Tuned models using grid and randomized search, resulting in 15% model performance improvement. Deployed models with Azure Machine Learning processing 2 million transactions daily at 98% uptime. Monitored and retrained models quarterly using Azure Monitor to adapt to emerging fraud patterns.