Available to hire
I’m an AI and Data Engineer with 9+ years of experience designing and deploying scalable machine learning models, data pipelines, and analytics solutions. I’ve worked across industries using Python, TensorFlow, PyTorch, Power BI, and Azure to turn complex data into actionable insights. My background combines hands-on technical depth with a strong understanding of business needs, helping teams make smarter data-driven decisions. I stand out for delivering reliable AI solutions with measurable impact and collaborating effectively across cross-functional teams.
Skills
Language
English
Fluent
Work Experience
Machine Learning Architect / Senior Data Scientist at Anodot
August 20, 2021 - PresentLed end-to-end ML initiatives including implementing MLflow, DVC, and Kubeflow for reproducible experiments, model monitoring, and CI/CD pipelines across AWS, Azure, and GCP. Architected time-series forecasting models (ARIMA, LSTM, Prophet) and anomaly detection frameworks to improve predictive accuracy and reduce operational risk. Optimized big data processing workflows on Apache Spark, Hadoop, and Databricks; built and maintained data warehouses (Snowflake, Redshift, BigQuery) and integrated with BI tools (Tableau, Power BI, Looker) for interactive reporting and visualization. Drove cloud-native ML deployments using AWS SageMaker, Azure ML, and Vertex AI to ensure scalable and highly available architectures. Delivered insights through BI dashboards and collaborated with data science and product teams to integrate ML solutions into enterprise apps.
Senior Data Scientist at Manthan
July 20, 2021 - October 17, 2025Built and deployed ML models (classification, regression, anomaly detection) using Python, R, TensorFlow, and PyTorch for real-time insights. Designed and optimized time-series forecasting frameworks (ARIMA, LSTM, Prophet) to improve demand forecasting and accuracy. Developed scalable data pipelines with Airflow, Kafka, and DBT for ingestion, pre-processing, and model training. Leveraged Spark, Hadoop, and Databricks to process large-scale datasets and delivered actionable insights through BI dashboards (Tableau, Power BI, Looker). Collaborated with data scientists and product teams to integrate ML solutions into enterprise applications.
Machine Learning Engineer at DataRobot
January 31, 2019 - October 17, 2025Engineered and deployed production-grade ML models using Python, TensorFlow, PyTorch, and Scikit-learn, focusing on scalable performance and reliability.
Associate AI Developer at Spark Cognition
May 31, 2016 - October 17, 2025Supported data preprocessing and feature engineering with guidance; worked on time-series forecasting and anomaly detection. Gained hands-on experience in workflow automation using Airflow and DBT for data ingestion and model retraining.
Education
Bachelor of Science in Computer Science at Urbana University
August 20, 2021 - October 17, 2025Qualifications
Industry Experience
Software & Internet, Professional Services, Media & Entertainment
Skills
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