🌍 I'm based in Chicago (open to relocation)

🧠 I have over 3 years of professional experience working as a Software Developer and DevOps Engineer

📫 How to reach me [email protected]

University of Illinois Cancer Center July 2023 – Present Chicago, IL, United States · On-site

• Engineered a React.js web application on Azure App Services, providing secure, real-time access to genomics data for over 300 healthcare professionals, significantly enhancing data accessibility and decision-making speed by 40%
• Implemented OAuth2 authentication, role-based access controls and optimized data retrieval processes, ensuring compliance with healthcare data privacy standards and improving overall app performance
• Designed and implemented ascalable CI/CD pipeline using Jenkins, streamlining code deployments across multiple environments with YAML configuration
• Leveraged Azure Databricks and Python to streamline ETL processes, converting large JSON files into structured data, reducing data processing time by 40% for datasets with over 1 million records
• Implemented serverless architectures and microservices to handle genomic datasets, improving system scalability
• Implemented NLP algorithms to extract structured information from unstructured clinical notes and free-text medical documents, achieving a 90% accuracy rate

Skills: Python · Microsoft SQL Server · Azure · Jenkins · React.js · NLP

University of Illinois Cancer Center March 2022– May2023 Chicago, IL, United States · On-site

• Analyzed electronic health records (EHR) using Python and Django to identify patterns and trends related to patient demographics, disease prevalence, and healthcare utilization, resulting in a 20% improvement in patient care outcomes
• Orchestrated complex data transformations and loading tasks by integrating Control-M with SSIS, optimizing workflow efficiency and reducing data processing time by 50%
• Added backend functionality to the UI Health application, including user authentication, patient data storage, and API development using Flask and Azure services
• Designed and developed SSMS stored procedures to consolidate Tumor Registry data, optimizing data management processes and enabling more efficient access for researchers
• Implemented unit tests using PyTest, achieving a test coverage of over 80%, resulting in a 40% reduction in production defects and enhancing overall software reliability and stability

Skills: Python · Django · Microsoft SQL Server · Azure · Tableau · Control-M · PyTest · SSIS

KEA Data Pvt. Ltd. Aug 2020–July 2021 Bangalore, India · Hybrid

• Conducted quantitative analysis of financial market data to identify trading opportunities and optimize investment strategies, leading to a 15% increase in portfolio returns
• Utilized LSTM (Long Short-Term Memory) models to enhance time-series forecasting capabilities, further improving accuracy and performance
• Implemented monitoring and reporting systems for workload management on Docker containers using Grafana and Prometheus, enhancing system stability and performance
• Implemented CI/CD pipelines using Docker, Jenkins, and Kubernetes with Kafka for distributed messaging, reducing deployment time by 40% and improving the reliability of data-driven microservices

Skills: Python · Django · Postgres · MongoDB · Tableau · Jenkins · Docker · Kubernetes · Kafka · Grafana · Prometheus