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AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning solutions across fintech and enterprise environments. Strong in Python, PySpark, machine learning and deep learning, NLP, feature engineering, and predictive modeling with a focus on production impact. Experienced in MLOps and AI governance, including MLflow, Docker, Kubernetes, CI/CD, monitoring, explainability, and responsible AI practices. Collaborates with cross-functional teams to turn business requirements into reliable, well-governed ML systems that improve decision-making and operational efficiency.…AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning solutions across fintech and enterprise environments. Strong in Python, PySpark, machine learning and deep learning, NLP, feature engineering, and predictive modeling with a focus on production impact. Experienced in MLOps and AI governance, including MLflow, Docker, Kubernetes, CI/CD, monitoring, explainability, and responsible AI practices. Collaborates with cross-functional teams to turn business requirements into reliable, well-governed ML systems that improve decision-making and operational efficiency.

Sri Sasank Chowdary Kandru

AI Engineer, Data Scientist, Programmer, +6

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AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning solutions across fintech and enterprise environments. Strong in Python, PySpark, machine learning and deep learning, NLP, feature engineering, and predictive modeling with a focus on production impact. Experienced in MLOps and AI governance, including MLflow, Docker, Kubernetes, CI/CD, monitoring, explainability, and responsible AI practices. Collaborates with cross-functional teams to turn business requirements into reliable, well-governed ML systems that improve decision-making and operational efficiency.…AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning solutions across fintech and enterprise environments. Strong in Python, PySpark, machine learning and deep learning, NLP, feature engineering, and predictive modeling with a focus on production impact. Experienced in MLOps and AI governance, including MLflow, Docker, Kubernetes, CI/CD, monitoring, explainability, and responsible AI practices. Collaborates with cross-functional teams to turn business requirements into reliable, well-governed ML systems that improve decision-making and operational efficiency.

Available to hire

AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning solutions across fintech and enterprise environments. Strong in Python, PySpark, machine learning and deep learning, NLP, feature engineering, and predictive modeling with a focus on production impact.

Experienced in MLOps and AI governance, including MLflow, Docker, Kubernetes, CI/CD, monitoring, explainability, and responsible AI practices. Collaborates with cross-functional teams to turn business requirements into reliable, well-governed ML systems that improve decision-making and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

AI/ML Engineer at Visa Inc, USA

January 1, 2026 - Present

Developed and deployed machine learning models for transaction risk assessment and fraud detection using Python, PySpark, XGBoost, and AWS, improving precision by 18%. Built scalable feature engineering and ETL pipelines on Databricks and Snowflake for 50M+ transaction records monthly. Implemented NLP-based solutions for merchant and transaction text analysis using TensorFlow, PyTorch, embeddings, and vector search, improving classification accuracy by 15%. Deployed production ML services using FastAPI, Docker, Kubernetes, and MLflow, reducing release cycles by 35% and improving monitoring and governance. Conducted A/B testing and explainability assessments across 25 ML models and supported Responsible AI and regulatory compliance. Partnered with cross-functional teams to translate business requirements into analytics and ML solutions, improving decision-making efficiency by 20%.

AI/ML Engineer at Visa Inc

January 1, 2026 - Present

Developed and deployed machine learning models for transaction risk assessment and fraud detection using Python, PySpark, XGBoost, and AWS, improving precision by 18% on high-volume payment datasets. Built scalable feature engineering and ETL pipelines on Databricks and Snowflake processing 50M+ transaction records monthly to accelerate training and analytics. Implemented NLP-based solutions for merchant and transaction text analysis using TensorFlow/PyTorch, embeddings, and vector search, improving classification accuracy by 15%. Deployed production-ready ML services with FastAPI, Docker, Kubernetes, and MLflow, reducing release cycles by 35% and strengthening monitoring and governance. Conducted A/B testing, model validation, and explainability across 25 models to support Responsible AI and regulatory compliance. Partnered with cross-functional stakeholders on predictive analytics initiatives, improving decision-making efficiency by 20%.

AI/ML Engineer at ServiceNow, India

February 1, 2020 - November 30, 2023

Designed and trained machine learning models for customer support automation, predictive analytics, and workflow optimization using Python, Scikit-learn, TensorFlow, and XGBoost, improving prediction performance by 22%. Developed scalable feature engineering and model evaluation frameworks processing 25M+ records, improving model development efficiency by 30%. Built deep learning solutions (CNNs, RNNs, Transformers) for text classification, sentiment analysis, and document intelligence, improving processing efficiency by 25%. Automated ETL workflows and data integration pipelines using PySpark and Databricks, reducing data preparation time by 40%. Established MLOps with MLflow tracking, model versioning, CI/CD pipelines, and production monitoring, improving deployment reliability by 30%. Led AI governance and model validation across 15 projects, supporting compliance, bias mitigation, and data privacy standards.

AI/ML Engineer at ServiceNow

February 1, 2020 - November 1, 2023

Designed and trained machine learning models for customer support automation, predictive analytics, and workflow optimization using Python, Scikit-learn, TensorFlow, and XGBoost, improving prediction performance by 22%. Developed scalable feature engineering and model evaluation frameworks processing 25M+ records, increasing development efficiency by 30%. Built deep learning solutions (CNNs, RNNs, Transformers) for text classification, sentiment analysis, and document intelligence, improving processing efficiency by 25%. Automated ETL workflows and data integration pipelines with PySpark and Databricks, reducing data preparation time by 40%. Established MLOps practices using MLflow tracking, model versioning, CI/CD pipelines, and production monitoring, improving deployment reliability by 30%. Led AI governance and model validation across 15 projects, supporting compliance, bias mitigation, and data privacy.