Available to hire
I am a Machine Learning Engineer with over 4 years of experience developing AI-driven solutions in manufacturing, finance, and data center operations. I specialize in deep learning, natural language processing, and computer vision, and am proficient in using frameworks like TensorFlow, PyTorch, and LangChain. With strong skills in MLOps and cloud deployment, I deliver scalable and explainable machine learning systems that drive operational efficiencies and business value.
I am passionate about applying AI to solve complex real-world problems with ethical and human-aligned approaches. I actively work on emerging AI technologies including Generative AI and safe reinforcement learning. I excel at collaborating cross-functionally and communicating technical insights to ensure impactful AI solutions. Outside of work, I enjoy continuously learning and advancing machine learning technologies to shape the future of intelligent systems.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Hindi
Advanced
Work Experience
Machine Learning Engineer at DXC Technology
June 1, 2024 - PresentIngested and cleaned sensor and equipment telemetry data using automated pipelines on AWS and Azure, ensuring scalable and secure data acquisition for manufacturing insights. Engineered temporal and statistical features from multivariate time-series data to enhance predictive model performance. Trained XGBoost and LSTM models for machine failure detection and Remaining Useful Life (RUL) prediction, optimizing operational efficiency. Used Generative Adversarial Networks (GANs) to simulate rare failure scenarios, expanding training datasets for greater model robustness. Containerized and deployed models as FastAPI microservices on AWS EC2 and Azure ML, with full lifecycle tracking using MLflow and DVC. Integrated real-time IoT sensor streams with predictive models for live equipment monitoring and failure forecasting using AWS Lambda and Fast API microservices. Applied SHAP and LIME for model explainability, generating interpretable insights for engineering teams and aiding root cause an
Machine Learning Engineer at Dell Technologies
July 31, 2023 - July 24, 2025Built AI-driven systems to automate power, cooling, and load balancing in data centers using real-time sensor data and LLM-assisted diagnostics. Integrated IoT telemetry with machine learning models for real-time equipment monitoring, using LLMs to auto-generate human-readable fault summaries. Trained and deployed XGBoost and LSTM models on AWS SageMaker to forecast energy consumption and automate thermal control, improving operational efficiency. Combined anomaly detection with LLM-based contextual analysis, enabling intelligent alert prioritization for faster issue resolution. Applied transfer learning with ResNet to classify thermal and visual inspection images, boosting model accuracy with limited training data. Deployed CI/CD pipelines with Docker, MLflow, and GitHub Actions for continuous integration, reproducibility, and rollback safety. Validated ML systems in sandboxed test environments to ensure robustness before real-time deployment. Collaborated with DevOps, infrastructure,
Data Analyst at TatvaSoft
August 31, 2021 - July 24, 2025Analyzed and visualized e-commerce sales data, identifying key business trends and optimizing performance metrics. Created interactive and visually appealing dashboards using Power BI to track sales performance and customer behavior in real-time. Developed custom SQL queries to extract, clean, and process sales data from various sources, ensuring accuracy and consistency. Automated data pipelines using Python and SQL, streamlining ETL processes and increasing data processing efficiency by 30%. Conducted statistical analysis on sales data, identifying actionable insights for improving marketing strategies and customer engagement. Collaborated with cross-functional teams to ensure data-driven decision-making and translate business requirements into analytical solutions. Presented findings and insights to senior management, helping to drive key business decisions based on data analysis.
Machine Learning Engineer at DXC Technology
June 1, 2024 - PresentIngested and cleaned sensor and equipment telemetry data using automated pipelines on AWS and Azure, ensuring scalable and secure data acquisition for manufacturing insights. Engineered temporal and statistical features from multivariate time-series data to enhance predictive model performance. Trained XGBoost and LSTM models for machine failure detection and Remaining Useful Life (RUL) prediction, optimizing operational efficiency. Used Generative Adversarial Networks (GANs) to simulate rare failure scenarios, expanding training datasets for greater model robustness. Containerized and deployed models as FastAPI microservices on AWS EC2 and Azure ML, with full lifecycle tracking using MLflow and DVC. Integrated real-time IoT sensor streams with predictive models for live equipment monitoring and failure forecasting using AWS Lambda and Fast API microservices. Applied SHAP and LIME for model explainability, generating interpretable insights for engineering teams and aiding root cause an
Machine Learning Engineer at Dell Technologies
July 31, 2023 - July 31, 2025Built AI-driven systems to automate power, cooling, and load balancing in data centers using real-time sensor data and LLM-assisted diagnostics. Integrated IoT telemetry with machine learning models for real-time equipment monitoring, using LLMs to auto-generate human-readable fault summaries. Trained and deployed XGBoost and LSTM models on AWS SageMaker to forecast energy consumption and automate thermal control, improving operational efficiency. Combined anomaly detection with LLM-based contextual analysis, enabling intelligent alert prioritization for faster issue resolution. Applied transfer learning with ResNet to classify thermal and visual inspection images, boosting model accuracy with limited training data. Deployed CI/CD pipelines with Docker, MLflow, and GitHub Actions for continuous integration, reproducibility, and rollback safety. Validated ML systems in sandboxed test environments to ensure robustness before real-time deployment. Collaborated with DevOps, infrastructure,
Data Analyst at TatvaSoft
August 31, 2021 - July 31, 2025Analyzed and visualized e-commerce sales data, identifying key business trends and optimizing performance metrics. Created interactive and visually appealing dashboards using Power BI to track sales performance and customer behavior in real-time. Developed custom SQL queries to extract, clean, and process sales data from various sources, ensuring accuracy and consistency. Automated data pipelines using Python and SQL, streamlining ETL processes and increasing data processing efficiency by 30%. Conducted statistical analysis on sales data, identifying actionable insights for improving marketing strategies and customer engagement. Collaborated with cross-functional teams to ensure data-driven decision-making and translate business requirements into analytical solutions. Presented findings and insights to senior management, helping to drive key business decisions based on data analysis.
Machine Learning Engineer at DXC Technology
June 1, 2024 - PresentDeveloped AI models for sensor and equipment telemetry data ingestion and cleaning using scalable pipelines on AWS and Azure. Engineered features from multivariate time-series data to enhance predictive maintenance models including XGBoost and LSTM for failure detection and remaining useful life estimation. Used GANs to simulate rare failure cases for dataset augmentation. Containerized and deployed FastAPI microservices on cloud platforms with full lifecycle tracking via MLflow and DVC. Integrated real-time IoT streams for live equipment monitoring and applied explainability methods like SHAP and LIME. Collaborated with cross-functional teams to automate model pipelines in hybrid cloud and on-prem environments using Docker and Kubernetes.
Machine Learning Engineer at Dell Technologies
July 1, 2023 - August 26, 2025Built AI-driven systems automating data center power, cooling, and load balancing with real-time sensor data and large language model-assisted diagnostics. Integrated IoT telemetry and trained XGBoost and LSTM models on AWS SageMaker for energy consumption forecasting and thermal control automation. Combined anomaly detection with LLM contextual analysis to prioritize alerts efficiently. Applied transfer learning with ResNet for visual inspection classification. Established CI/CD pipelines with Docker, MLflow, and GitHub Actions and validated ML systems in sandbox environments. Contributed to a hybrid cloud and on-prem ML architecture reducing power consumption by 15% and failure detection time by 30%.
Data Analyst at TatvaSoft
August 1, 2021 - August 26, 2025Analyzed and visualized e-commerce sales data to identify business trends and optimize key performance metrics. Created interactive dashboards using Power BI to monitor sales and customer behavior in real-time. Developed custom SQL queries for data extraction and cleaning. Automated ETL pipelines in Python and SQL, improving data processing efficiency by 30%. Conducted statistical analysis to provide actionable marketing insights. Collaborated with cross-functional teams to ensure data-driven decision making and effectively presented findings to senior management.
Education
Master of Science at University of Dayton
August 1, 2023 - May 31, 2025Bachelor at Bapatla Engineering College
June 1, 2017 - May 31, 2021Master of Science at University of Dayton, USA
August 1, 2023 - May 31, 2025Bachelor at Bapatla Engineering College, India
June 1, 2017 - May 31, 2021Master of Science in Computer Science at University of Dayton, USA
August 1, 2023 - May 1, 2025Bachelor in Electronics and Communication Engineering at Bapatla Engineering College, India
June 1, 2017 - May 1, 2021Qualifications
Industry Experience
Manufacturing, Financial Services, Energy & Utilities, Software & Internet, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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