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I am Sai Krishna, a results-oriented AI/ML Engineer with 3 years of experience designing, developing, and deploying scalable machine learning, deep learning, and NLP solutions across BFSI, telecom, and insurance industries. I specialize in end-to-end ML lifecycle including data engineering, model development, MLOps automation, and cloud deployment. I am proficient in Python, TensorFlow, PyTorch, Apache Spark, Kafka, and Airflow, and I build production-grade AI systems that drive real-time decision-making, explainability, and governance. I thrive working in agile teams, mentoring peers, and translating business goals into measurable AI outcomes.…I am Sai Krishna, a results-oriented AI/ML Engineer with 3 years of experience designing, developing, and deploying scalable machine learning, deep learning, and NLP solutions across BFSI, telecom, and insurance industries. I specialize in end-to-end ML lifecycle including data engineering, model development, MLOps automation, and cloud deployment. I am proficient in Python, TensorFlow, PyTorch, Apache Spark, Kafka, and Airflow, and I build production-grade AI systems that drive real-time decision-making, explainability, and governance. I thrive working in agile teams, mentoring peers, and translating business goals into measurable AI outcomes.

Venkata Sai Krishna Gade

AI Engineer, Data Scientist, AI Developer, +2

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I am Sai Krishna, a results-oriented AI/ML Engineer with 3 years of experience designing, developing, and deploying scalable machine learning, deep learning, and NLP solutions across BFSI, telecom, and insurance industries. I specialize in end-to-end ML lifecycle including data engineering, model development, MLOps automation, and cloud deployment. I am proficient in Python, TensorFlow, PyTorch, Apache Spark, Kafka, and Airflow, and I build production-grade AI systems that drive real-time decision-making, explainability, and governance. I thrive working in agile teams, mentoring peers, and translating business goals into measurable AI outcomes.…I am Sai Krishna, a results-oriented AI/ML Engineer with 3 years of experience designing, developing, and deploying scalable machine learning, deep learning, and NLP solutions across BFSI, telecom, and insurance industries. I specialize in end-to-end ML lifecycle including data engineering, model development, MLOps automation, and cloud deployment. I am proficient in Python, TensorFlow, PyTorch, Apache Spark, Kafka, and Airflow, and I build production-grade AI systems that drive real-time decision-making, explainability, and governance. I thrive working in agile teams, mentoring peers, and translating business goals into measurable AI outcomes.

Available to hire

I am Sai Krishna, a results-oriented AI/ML Engineer with 3 years of experience designing, developing, and deploying scalable machine learning, deep learning, and NLP solutions across BFSI, telecom, and insurance industries. I specialize in end-to-end ML lifecycle including data engineering, model development, MLOps automation, and cloud deployment.

I am proficient in Python, TensorFlow, PyTorch, Apache Spark, Kafka, and Airflow, and I build production-grade AI systems that drive real-time decision-making, explainability, and governance. I thrive working in agile teams, mentoring peers, and translating business goals into measurable AI outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Kemp Technologies

April 1, 2025 - November 26, 2025

Developed and deployed fraud detection systems using XGBoost and LSTM, reducing false positives in claims processing by 32%. Built scalable data pipelines with PySpark and Kafka handling over 100M daily transactions with low latency. Automated ML retraining workflows with Airflow and MLflow for zero-downtime deployments. Implemented NLP systems with Hugging Face BERT for underwriting document review. Enabled explainable AI with SHAP and LIME, deployed RESTful ML APIs with Docker/Kubernetes/FastAPI, and optimized Snowflake/Delta Lake pipelines. Built dashboards for real-time monitoring and conducted A/B tests to enhance risk assessment accuracy. Mentored junior engineers in MLOps and collaborated with compliance for audit-ready AI.

Machine Learning Engineer at Capri Global

September 1, 2023 - September 1, 2023

Engineered credit risk models using XGBoost and Random Forests, increasing approval accuracy by 22%. Created NLP pipelines with spaCy and BERT to automate loan document processing, reducing manual review effort by 65%. Optimized TensorFlow GPU workflows, automated ETL with Airflow and Spark processing over 5TB of data monthly. Deployed and monitored models on AWS SageMaker, achieving faster inference performance. Built explainable risk dashboards with SHAP and implemented RBI-compliant AI governance. Designed A/B tests to enhance loan scoring and developed recommendation systems for upselling.