Venkat Edara

AI Engineer

https://talent.gravityer.com/venkat-edara

AI Engineer with 4+ years in MLOps & Generative AI.

Scale AI

Key Strengths

Extensive experience in designing, developing, and deploying scalable AI/ML systems across various domains (healthcare, enterprise technology).
Proficiency in advanced NLP, Generative AI, and Computer Vision techniques, including transformer models, LLM fine-tuning (LoRA), YOLOv8, and Detectron2.
Strong MLOps expertise with tools like Azure ML, Azure Databricks, AWS SageMaker, Apache Airflow, MLflow, Docker, Kubernetes, Kubeflow, Seldon, and CI/CD pipelines (GitHub Actions).
Demonstrated ability to optimize model performance, reduce inference costs, and improve system uptime, with quantifiable business impact.
Experience with explainable AI (SHAP, LIME) and data visualization (Power BI) for stakeholder communication.
Solid programming skills in Python and experience with big data technologies (Spark, Kafka) and databases (PostgreSQL, MySQL).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience spans multiple companies (Scale AI, Tempus, HCLTech) and industries (general AI/ML, healthcare, enterprise technology), showcasing adaptability and a broad skill set. Their involvement in projects with significant business impact and collaboration with stakeholders aligns well with a results-oriented culture. The diversity of tools and platforms used (Azure, AWS, Hugging Face, PyTorch, TensorFlow, scikit-learn) indicates a willingness to learn and adapt to different technical stacks.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving abilities, cross-functional collaboration, and stakeholder communication, as evidenced by their project descriptions involving data-driven decisions and integration with business intelligence tools. Their experience in Agile environments and maintaining high code quality with pytest and Git indicates a good operational fit for structured development processes.

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Assessing your cultural and operational fit

About

AI/ML Engineer with 4+ years of experience designing, developing, and deploying scalable machine learning models and intelligent automation solutions across healthcare and enterprise technology domains. Proficient in advanced data preprocessing, feature engineering, model development, and hyperparameter tuning, with experience building robust ML pipelines using Python, TensorFlow, and PyTorch. Skilled in leveraging cloud platforms (AWS, Azure) and implementing MLOps practices to deploy reliable production models. Experienced in applying machine learning to clinical and patient datasets, building predictive analytics solutions, and delivering actionable insights through data visualization and cross-functional collaboration in Agile environments.

Top Skills

Leadership

Skills

Unsupervised LearningregressionClusteringXgboostTransfer LearningTensorFlowPyTorchScikit LearnSHAPMlflowInference OptimizationReinforcement LearningTime Series ForecastingNeural NetworksGen AILangchainHugging FacePrompt Engineeringtext-classificationsummarizationSpacyNltkSpeech RecognitionCNNLSTMGANsyolov8Azure DatabricksDockerKubernetesApache SparkkafkaPostgresqlMysqlMongoDBPythonJavaPower BIloraGithub ActionsCI/CD pipelinesApache AirflowPrometheusGrafanaAzure MonitorEvaluation MetricsGitJiraAgilePytestCross Functional CollaborationProblem SolvingStakeholder CommunicationLeadership

Education

University of Wisconsin, Milwaukee

Master of Science · Information Technology and Management

September 1, 2021 – December 1, 2022

Sathyabama University, India

Bachelor of Engineering · Electronics & Communication Engineering

June 1, 2016 – May 1, 2020

Experience

Scale AI

AI/ML Engineer

September 1, 2024 – Present

CA, USA

Tempus

AI Engineer

March 1, 2023 – August 1, 2024

USA, USA

HCLTech

Associate Machine Learning Engineer

April 1, 2020 – August 1, 2021

India, India

Key Strengths

Extensive experience in designing, developing, and deploying scalable AI/ML systems across various domains (healthcare, enterprise technology).
Proficiency in advanced NLP, Generative AI, and Computer Vision techniques, including transformer models, LLM fine-tuning (LoRA), YOLOv8, and Detectron2.
Strong MLOps expertise with tools like Azure ML, Azure Databricks, AWS SageMaker, Apache Airflow, MLflow, Docker, Kubernetes, Kubeflow, Seldon, and CI/CD pipelines (GitHub Actions).
Demonstrated ability to optimize model performance, reduce inference costs, and improve system uptime, with quantifiable business impact.
Experience with explainable AI (SHAP, LIME) and data visualization (Power BI) for stakeholder communication.
Solid programming skills in Python and experience with big data technologies (Spark, Kafka) and databases (PostgreSQL, MySQL).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit