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I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable AI/ML solutions across enterprise environments. I am proficient in the software development lifecycle (SDLC) and Agile methodologies, with expertise in Python, R, C++, SQL, and advanced ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. I have built and optimized deep learning architectures including CNNs, RNNs, and Transformers for NLP, computer vision, and generative AI use cases. I focus on turning complex data into actionable insights and robust production-grade ML systems. In this role, I collaborate across teams, implement end-to-end ML pipelines, and communicate model performance and drift to stakeholders to drive data-driven decisions.…I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable AI/ML solutions across enterprise environments. I am proficient in the software development lifecycle (SDLC) and Agile methodologies, with expertise in Python, R, C++, SQL, and advanced ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. I have built and optimized deep learning architectures including CNNs, RNNs, and Transformers for NLP, computer vision, and generative AI use cases. I focus on turning complex data into actionable insights and robust production-grade ML systems. In this role, I collaborate across teams, implement end-to-end ML pipelines, and communicate model performance and drift to stakeholders to drive data-driven decisions.

Sairam Kova

Data Scientist, Data Analyst, AI Engineer, +2

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I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable AI/ML solutions across enterprise environments. I am proficient in the software development lifecycle (SDLC) and Agile methodologies, with expertise in Python, R, C++, SQL, and advanced ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. I have built and optimized deep learning architectures including CNNs, RNNs, and Transformers for NLP, computer vision, and generative AI use cases. I focus on turning complex data into actionable insights and robust production-grade ML systems. In this role, I collaborate across teams, implement end-to-end ML pipelines, and communicate model performance and drift to stakeholders to drive data-driven decisions.…I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable AI/ML solutions across enterprise environments. I am proficient in the software development lifecycle (SDLC) and Agile methodologies, with expertise in Python, R, C++, SQL, and advanced ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. I have built and optimized deep learning architectures including CNNs, RNNs, and Transformers for NLP, computer vision, and generative AI use cases. I focus on turning complex data into actionable insights and robust production-grade ML systems. In this role, I collaborate across teams, implement end-to-end ML pipelines, and communicate model performance and drift to stakeholders to drive data-driven decisions.

Available to hire

I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable AI/ML solutions across enterprise environments. I am proficient in the software development lifecycle (SDLC) and Agile methodologies, with expertise in Python, R, C++, SQL, and advanced ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. I have built and optimized deep learning architectures including CNNs, RNNs, and Transformers for NLP, computer vision, and generative AI use cases.

I focus on turning complex data into actionable insights and robust production-grade ML systems. In this role, I collaborate across teams, implement end-to-end ML pipelines, and communicate model performance and drift to stakeholders to drive data-driven decisions.

Skills

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Work Experience

Machine Learning Engineer at JPMorgan Chase & Co.

November 1, 2022 - November 6, 2025

Designed and deployed ML models for credit risk assessment and fraud detection, improving detection accuracy by over 15% while reducing false positives. Built scalable data pipelines using Apache Spark and Airflow to process multi-terabyte financial transaction datasets, cutting model training latency by 40% and improving real-time data availability for analytics. Implemented NLP-based models using BERT and Hugging Face Transformers to extract insights from unstructured financial documents, enabling automated compliance reporting and reducing manual review time by 30%. Integrated MLOps workflows with MLflow and Kubernetes for continuous model retraining and deployment across AWS SageMaker and Azure ML environments, ensuring high availability and audit compliance. Collaborated with data scientists and business analysts in Agile sprints to translate banking use cases into ML solutions, leveraging CI/CD pipelines and Docker for streamlined experimentation and delivery. Created interactive

Machine Learning Engineer at Infinite Infolab

July 1, 2021 - July 1, 2021

Built and fine-tuned deep learning models, including CNNs and RNNs, for computer vision and NLP applications, improving document classification accuracy by 25% and reducing manual review effort. Engineered and deployed transformer-based NLP pipelines using BERT and Hugging Face Transformers for sentiment analysis and text summarization, boosting content moderation efficiency. Developed data ingestion and ETL workflows with Apache Kafka and Airflow, enabling real-time data streaming and processing for analytics and model training pipelines. Designed and maintained SQL and NoSQL databases (MySQL, MongoDB, Redis) to support large-scale data storage and retrieval for high-throughput ML workloads. Accelerated model training workflows using GPU-enabled TensorFlow and PyTorch, achieving 3× faster training times and enabling iterative experimentation. Built and automated model monitoring dashboards with Matplotlib and Seaborn, providing actionable insights into drift, accuracy decay, and data