SUBHASHINI VENKATACHALAM
Fort Collins, Colorado 970-***-**** **************@*****.*** LinkedIn Github Portfolio PROFESSIONAL SUMMARY
Full Stack Software Engineer with 3+ years of experience building scalable healthcare applications using C#, .NET Core 6, ASP.NET MVC, and REST APIs. Skilled in deploying containerized microservices to cloud platforms (AWS, Azure), integrating CI/CD pipelines, and incorporating GenAI capabilities for internal tools and automation. Proven track record of reducing deployment time by 30%, cutting query latency by 35%, and processing 1M+ records weekly with 99.9% uptime. M.S. in Computer Information Systems from Colorado State University, actively seeking full-time Software Engineer roles. TECHNICAL SKILLS
• Backend: C# 10, Java, Python, .NET Core 6, ASP.NET MVC, ADO.NET, RESTful APIs, Node.js
• Frontend: HTML5, CSS3, JavaScript ES6, TypeScript, Angular 15, React.js
• Architecture: Microservices, OAuth2, REST Architecture
• Databases: PostgreSQL, Snowflake, SSIS, SQL Server, SSIS, ETL
• Cloud & DevOps: AWS (S3, Lambda), Jenkins, Azure DevOps, Docker, Kubernetes
• AI / ML: TensorFlow, ResNet-50, CNN, Image Classification, Azure OpenAI, LangChain
• Tools & Methodologies: NuGet, Power BI, GitHub, Visual Studio, JIRA, Agile/Scrum, SDLC, Postman, Swagger PROFESSIONAL EXPERIENCE
TriZetto Healthcare Products Software Engineer India Oct 2021 - Jul 2024
• Engineered secure RESTful microservices APIs using C# .NET Core 6, ASP.NET MVC, and Java components with token-based authentication, improving data flow efficiency by 25% and reducing latency by 15%.
• Integrated an internal chatbot using Azure OpenAI API and LangChain to automate document lookup, cutting support requests by 20% and improving efficiency in non-technical departments.
• Automated CI/CD lifecycle through Azure DevOps and Git by scripting deployment jobs, configuring build pipelines, and integrating pre-deployment testing; successfully reduced average deployment duration from 2 hours to under 30 minutes
• Designed automated multi-format report export system (UTF-8, UTF-16, Excel, TXT) using SQL and Node.js, resolving client compatibility issues and improving export reliability by 75%
• Built ETL pipelines using SQL, SSIS, and Databricks to process 1 million+ records weekly for HEDIS/NCQA compliance with 99.9% uptime.
• Mentored 2 junior developers on software development best practices, system design, and Agile/Scrum workflows in JIRA, ensuring timely delivery and SDLC adherence.
Community Dreams Foundation Data Analyst Sebring, FL, USA May 2025 - Present
• Developed Power BI dashboards to track Agile metrics (velocity, burndown, sprint progress), reducing manual reporting effort by 40%.
• Automated SQL-based reporting pipelines for weekly data processing, enabling near real-time insights for project management teams.
• Standardized dashboard layouts and documentation, ensuring 100% consistency in metric definitions and increasing adoption by 30% across project teams.
PROJECTS
Medicinal Plant Image Recognition Medicinal Plant Image Recognition Sep 2024 - Dec 2024
• Built a ResNet-50-based CNN classifier in TensorFlow/Keras to identify 34 medicinal plant species from 1,550 images, achieving 98% classification accuracy using transfer learning and image augmentation.
• Reduced plant identification time by 90% (3 hours to 20 minutes) by replacing manual workflows with an automated deep learning pipeline. Elephant Call Classification Elephant Call Classification Sep 2024 - Dec 2024
• Built a binary classification system in KNIME to predict individual-directed elephant vocalizations from 886 samples, training 3 ML models
- Decision Tree (75.6%), Neural Network (68.4%), Logistic Regression (64.3%).
• Demonstrated that acoustic and spatial features (frequency, distance) hold strong predictive power, providing insights applicable to conservation monitoring and wildlife behavior research. EDUCATION
Colorado State University Jan 2024 - May 2025
Master of Computer Information Systems GPA:3.6/4 Fort Collins, CO Anna University Aug 2017 - May 2021
Bachelor of Electrical and Electronics Engineering GPA:3.6/4 India CERTIFICATES
• Microsoft Certified: Azure Fundamentals (AZ-900)