Ramesh Chowdary Email & Phone Number

College Station, TX, US

Texas, United States

Texas, United States

• Liaised with cross-functional teams to gather requirements and define project goals for machine learning model serving and deployment. Executed benchmark event simulations to evaluate system performance through the.
• Accomplished remarkable scalability with zero-copy deployment, handling up to 170 chat sessions simultaneously with minimal timeouts, showcasing 5x scalability without any tuning and reducing infrastructure costs.
• Maximized software delivery and deployment efficiency through the comprehensive execution of MLOps and DevOps practices, inclusive of ETL data pipelines and Docker for seamless containerization.
• Enhanced operational efficiency significantly by developing monitoring and logging solutions for model serving with Grafana, Prometheus, and Azure ML.
• Achieved efficient zero-copy serving of BERT language models by capitalizing Ray’s distributed computing functionality.
• Increased scalability by employing Databricks, facilitating training and fine-tuning of NLP models on extensive datasets.

Buffalo, New York, United States

• Covid-19 Death Rate Prediction Service:
• Enhanced data quality and relevance by conducting in-depth analysis and organization of raw Covid-19 data,implementing data cleaning, imputation, data wrangling, analytics, and feature elimination/extraction techniques.
• Revealed significant patterns in extensive COVID-19 datasets through the effective utilization of statistical andexploratory data analysis for data preparation and predictive modeling.
• Improved data comprehension by creating visually striking dashboards and reports with Tableau, elucidating global death rate patterns.
• Optimized model performance by evaluating the accuracies of various regression models such as Linear, Logistic Regression, Decision Tree, Random Forest, and Time Series Analysis, to identify the most effective modeling.
• Streamlined US transborder trade logistics cost prediction by designing and formatting a comprehensive database with15 years of Historical data, identifying crucial predictors in the process for Analysis.

Hyderabad, Telangana, India

• Streamlined project management and team coordination by diligently updating the Jira board with task assignments and their status at the close of each day. Directed end-to-end coding, A/B testing, code review, and.
• Developed a self-service, low code/no code platform following Agile principles, enabling data scientists to deploy data and ML models as APIs, including an advanced recommendation engine for enhanced user experiences.
• Implemented Microservices architecture using Flask and FastAPI, integrating RESTful APIs and following an event-driven approach.
• Designed and implemented a DevSecOps platform for data scientists, allowing them to leverage data engineering and batch processing capabilities with minimal manual intervention and experience in Preprod/Production.
• Leveraged various Azure & AWS integration tools, data factory & data lakes, SQL data warehouses, Azure Synapse analytics, load balancers, and version control tools like Git to achieve the desired product ionization.
• Integrated multiple databases, utilized Jenkins CI/CD data pipeline for ML model development, and deployed code and MLflow artifacts on Azure Kubernetes for container orchestration, automating testing and training.

• Utilized Python and SQL to analyze extensive IT service management datasets, processing over 100,000 data points to extract valuable insights and contribute to the development of actionable recommendations..
• Contributed to process reengineering initiatives, identifying, and implementing improvements that resulted in a 15% increase in IT service delivery efficiency.
• Employed tools such as Tableau, along with MS Office and Qlik Sense, to create compelling visualizations that enhanced data understanding and decision-making.
• Conducted trend analysis and forecasting on matrices of IT service management data, enabling the team to proactively address service needs. This resulted in a 10% reduction in IT service incidents.

Hyderabad, Telangana, India

• Performed process risk analysis study for hydraulic couplers through PFMEA to ensure risk-free production line processes.
• Reduced defective parts in the production line to less than 5% by developing statistical process control analysis on an automobile prototype production project.
• Collaborated with relational databases such as Oracle, SQL Server, MySQL, as well as NoSQL databases like MongoDB, to ensure optimal data storage and retrieval efficiency.
• Reviewed and optimized inventory management flow within the organization, reducing processing time by 15%

Visakhapatnam, Andhra Pradesh, India

Undergone training in different departments of shipbuilding i.e HULL SHOP, PRE-FABRICATION, EKM & DESIGN DEPARTMENT

Master'S Degree, Business Analytics, 3.86

UB MSBA curriculum emphasized the development of analytical skills, advanced statistical techniques, and the use of technology to solve.

Bachelor Of Technology - Btech, Mechanical Engineering

Activities and Societies: SAE club, University Automobile Club, Team Vanquishers