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Fullstack Engineer with 6+ years in C#, Python, .NET, Angular, React, Azure & AWS
Senior Full Stack Developer with over 7 years of extensive experience in designing, developing, and deploying scalable, high-performance web applications using C#, .NET (Core/.NET), ASP.NET Core, Angular, React, and TypeScript. Expert in building microservices, RESTful APIs, and cloud-native solutions on Microsoft Azure and AWS, with hands-on experience in SQL Server, Cosmos DB, and distributed systems. Proficient in CI/CD pipelines, Docker, Kubernetes, and Agile (Scrum) methodologies, delivering secure, reliable, and production-grade applications. Proven track record of driving performance optimization, system scalability, and user-centric design, improving business outcomes and operational efficiency. Expert in leveraging GenAI tools (GitHub Copilot, Cursor) to accelerate development and enhance code quality. Committed to clean architecture, SOLID principles, and continuous learning, with strong collaboration and problem-solving capabilities.
NTTF
Computer Engineering and Cloud Computing
August 1, 2017 – June 30, 2020
St. Michael-s Anglo-Indian Higher Secondary School
12th - Biology-Science · Biology-Science
June 1, 2015 – May 31, 2017
St. Michael-s Anglo-Indian Higher Secondary School
10th
June 1, 2012 – May 31, 2014
Koch Business Solutions India
Senior Full Stack Software Developer
February 1, 2025 – Present
Bengaluru, Karnataka, India
Siemens Healthineers
Senior Full Stack Software Developer
July 1, 2022 – February 1, 2025
Bengaluru, Karnataka, India
IPETRONIK INDIA PVT LTD
Full Stack Software Engineer
March 1, 2020 – July 1, 2022
Bengaluru, Karnataka, India
Instavans Logistics Pvt Ltd
Software Developer Intern
June 1, 2019 – March 1, 2020
Bengaluru, Karnataka, India
Product Assurance Letters Platform (LLM-Powered)
February 1, 2025 – June 1, 2026
Engineered a full-stack, AI-powered document automation platform using .NET 8 (microservices) and Angular, enabling scalable generation for 10,000+ products across multiple global business units and segments. Leveraged AI-assisted development tools (AWS Beanstalk, GitHub Copilot) to accelerate code generation, optimize complex logic design, and improve overall developer efficiency and code quality standards. Built intelligent data extraction pipelines using AI/NLP techniques to parse emails and documents, automatically capturing product details, recipients, and sensitive compliance data with high accuracy. Designed dynamic, template-driven letter generation modules supporting configurable formats, bulk processing, and automated validation workflows to ensure global consistency across various document types and regions. Developed secure and scalable backend services with robust API design, ensuring high availability and efficient handling of large-scale document processing tasks for global enterprise-level operations. Integrated SQL Server and Azure-based storage solutions to ensure data integrity, traceability, and enterprise-grade compliance for all generated documents and associated historical audit logs and metadata. Automated end-to-end workflows including email ingestion, AI-based processing, document generation, and automated distribution to stakeholders, reducing manual processing time by over 50% for key letters. Implemented role-based access control (RBAC) and audit logging for secure access, governance, and compliance tracking, adhering to strict enterprise security and data privacy mandates and regulations. Built interactive Angular dashboards for real-time monitoring of document status, approvals, and workflow pipelines, providing clear visibility and actionable insights for business users and administrators. Improved operational efficiency by 40% by eliminating manual intervention; project was delivered 2 months ahead of schedule and personally recognized by the US-based CEO for its exceptional high impact and quality. Enabled CI/CD pipelines using Azure DevOps, reducing release cycles and ensuring reliable, consistent deployments across multiple staging and production environments with automated safety gates and health checks.
IIOT Platform: Intelligent Water Performance Insights
February 1, 2025 – June 1, 2026
Engineered a robust IIoT platform for intelligent water management, integrating real-time data acquisition and advanced analytics for industrial operational excellence and global resource sustainability goals. Delivered full-stack solutions using Angular 16 dashboards and .NET 8 microservices, optimizing visualization for millions of complex sensor data points with high performance and responsive data rendering. Implemented secure, high-availability storage architectures with Azure Cosmos DB and SQL Server 2022, ensuring 99.9% data reliability and disaster recovery capabilities for critical industrial sensor data. Enhanced user productivity by 25% through intuitive UI/UX, RBAC, and real-time asset monitoring tools, including attendance, operational tracking, and predictive maintenance alerts for industrial equipment. Built advanced data visualization and reporting features, facilitating actionable insights and personalized learning modules for operators to improve operational efficiency and global technical expertise. Automated deployment pipelines (CI/CD) using Azure DevOps, cutting release cycle times by 15% and improving update robustness through automated testing and advanced environment-based deployment strategies. Established variable-unit mappings and dynamic data retrieval APIs, enabling flexible handling of diverse sensor streams and contextualized analytics across different industrial water systems and facilities. Applied comprehensive unit and integration testing (NUnit) to improve system stability and reduce post-release defects by 40%, ensuring a high-quality user experience for frontline industrial operators.
Prostate Cancer Treatment Support
July 1, 2022 – February 1, 2025
Designed and developed a scalable Multi-Disciplinary Team (MDT) healthcare platform using Angular 16, React (v18-19), .NET 8, and ASP.NET Core, facilitating collaborative cancer treatment planning and precision medicine. Managed and secured 500,000+ patient records using SQL Server and cloud-native architectures, ensuring 99.9% uptime and full HIPAA/GDPR compliance for sensitive medical information and distributed data storage. Built real-time data visualization and interactive dashboards, improving clinical task completion rates and decision-making accuracy by 30%+ for medical professionals in high-pressure clinical environments. Implemented robust security mechanisms including RBAC, secure authentication/authorization, and audit logging for sensitive healthcare data to prevent unauthorized access and ensure full patient privacy and regulatory compliance. Designed and optimized RESTful APIs using ASP.NET Core to enable seamless integration in a microservices-based architecture, improving data exchange efficiency and and communication speed between frontend and backend services. Automated CI/CD pipelines using Azure DevOps and GitHub Actions, reducing deployment effort by 20% and improving release reliability through automated testing and sophisticated environment-based deployments. Enhanced UI/UX design and usability, increasing platform adoption among clinicians and administrative users through intuitive workflows and user-centric features specifically tailored for complex healthcare clinical settings. Optimized SQL Server database performance, reducing response times by 40% and improving scalability for high-volume operations through advanced indexing, query optimization, and technical database strategies. Integrated healthcare interoperability standards (FHIR, HL7) to enable secure, structured data exchange with third-party EHR/EMR systems, ensuring seamless data flow across the entire healthcare ecosystem. Led Agile ceremonies and code reviews, promoting clean code practices (SOLID, DRY) and accelerating delivery cycles while maintaining exceptionally high standards of software quality, safety, and operational reliability. Deployed and managed applications on Microsoft Azure (App Services, Azure SQL, Storage) for scalable healthcare solutions, focusing on performance, security, and cost-efficient cloud resource management.
Clinical Decision Support: Cardiac Chest Pain Management
July 1, 2022 – February 1, 2025
Led implementation of a scalable multi-center clinical trial platform using Angular, React (v18-19), and .NET 8, supporting 100,000+ daily transactions with high reliability and performance standards. Automated CI/CD pipelines using Azure DevOps and GitHub Actions with Docker, reducing release cycles and improving rollback reliability through automated health checks and secure gated cloud deployments. Integrated FHIR-compliant healthcare data exchange standards to ensure secure, interoperable data sharing across distributed clinical systems while adhering to strict privacy and government security mandates and laws. Designed event-driven, message-based architectures using Azure Functions and Queues, enabling real-time patient data processing and high-throughput communication for clinical monitoring and emergency notification systems. Optimized SQL Server 2022 databases for high-volume datasets, achieving a 30% improvement in query performance and ensuring fast data retrieval for critical clinical decision-making and patient management processes. Developed intuitive, role-based dashboards for healthcare professionals, improving workflow efficiency and reducing time-to-decision for complex clinical trial monitoring, data analysis, and overall trial management. Implemented comprehensive testing strategies (NUnit, xUnit, Playwright), reducing post-release defects by 25% and ensuring a stable, high-quality user experience for clinical trial participants and staff.
NF1 Readout Station
March 1, 2020 – July 1, 2022
Managed secure SFTP-based data ingestion pipelines for high-volume sensor data, implementing real-time monitoring and anomaly detection for critical engineering, industrial, and diverse manufacturing datasets. Designed a high-performance data transfer pipeline using .NET 6 and C#, reducing data transfer time by 25% for inputs from drive bays and USB sources in complex and high-volume industrial engineering settings. Built a scalable data visualization portal using Angular 12 and React, supporting 500,000+ data points with low-latency rendering for real-time analysis and reporting of industrial sensor and machine information. Optimized SQL Server 2019 databases handling 10+ TB datasets, improving analytical query performance by 30% via advanced partitioning and indexing strategies for large-scale engineering and sensor data analysis. Developed multi-threaded and parallel processing backend services, increasing data throughput by 40% and enabling faster processing of high-frequency sensor data for robust engineering and technical analysis. Implemented end-to-end encryption and secure SFTP protocols, ensuring strict compliance with enterprise security standards for sensitive sensor data and protecting valuable intellectual property and trade secrets. Integrated automated anomaly detection and rule-based analytics into the data pipeline, identifying irregular sensor behavior and reducing manual intervention for complex industrial monitoring processes. Deployed containerized microservices using Docker and Kubernetes (AKS), improving system scalability, fault tolerance, and deployment agility for distributed industrial monitoring and data collection networks.
ZIPRT File Visualizer
March 1, 2020 – July 1, 2022
Designed a scalable data processing pipeline for ZIPRT file transformation, enabling faster data interpretation and visualization for large-scale industrial datasets and complex engineering analysis tasks. Optimized data transformation workflows using .NET 6, improving processing speed by 30% for distributed data systems and accelerating technical decision-making for multi-disciplinary engineering teams. Built interactive data visualization modules (Map, Histogram, Y-T Diagram, Scatter Chart, 3D Models) using Angular and React, enhancing decision-making and data discovery by 25% for technical engineering users. Improved backend performance by 40% by implementing advanced data transformations in C# (.NET 6) for large-scale engineering datasets, ensuring efficient data flow and highly scalable processing capabilities. Leveraged SQL Server 2019 for efficient storage and querying, applying advanced indexing and query optimization to handle millions of engineering data points with exceptionally low latency and high reliability. Streamlined storage and retrieval mechanisms, reducing storage latency by 35% and improving future scalability for evolving industrial data requirements and rapidly growing high-frequency sensor networks. Designed and exposed RESTful APIs using ASP.NET Core, ensuring end-to-end data flow across the platform and enabling seamless integration with professional frontend data visualization and analytics components. Enhanced deployment agility by 20% through CI/CD pipelines (Azure DevOps) and containerized deployment (Docker), enabling faster feature delivery and more reliable production updates for engineering users. Implemented robust error handling and fault-tolerant mechanisms, ensuring data accuracy and system stability in large-scale ETL workflows for complex and massive engineering and industrial sensor datasets. Automated ETL pipelines using Azure Data Factory, reducing manual intervention and accelerating data onboarding processes for large-scale, high-concurrency industrial monitoring and sensor data analysis.
MERN Stack Mastery
Unknown
June 1, 2026 – Present
IAM/PKI/Networking Fundamentals
Unknown
June 1, 2026 – Present
Serverless Web Apps with DynamoDB
Unknown
June 1, 2026 – Present
BigQuery Mastery
Unknown
June 1, 2026 – Present
AWS Educate Badges (Cloud Support Associate/Engineer)
AWS Educate
June 1, 2026 – Present
Cisco Cybersecurity Essentials
Cisco
June 1, 2026 – Present
Intel IIoT Certificate
Intel
June 1, 2026 – Present
Python & Django Full Stack
Unknown
June 1, 2026 – Present
Full-Stack Web Development (React/Angular)
Unknown
June 1, 2026 – Present
AWS Solutions Architect - Professional
AWS
June 1, 2026 – Present
Prompt Engineering for Developers
Unknown
June 1, 2026 – Present
GitHub Copilot Optimization
Unknown
June 1, 2026 – Present
Cursor AI Mastery
Unknown
June 1, 2026 – Present
Google Cloud Associate Cloud Engineer
Google Cloud
June 1, 2026 – Present
Azure DevOps Engineer Expert
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Solutions Architect Expert
Microsoft
June 1, 2026 – Present
AWS Certified Developer - Associate
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through diverse project experience in healthcare, industrial IoT, and enterprise document automation, showcasing adaptability and a broad impact. Their involvement in community (Campus Ambassador, NCC) and mentoring junior developers reflects a commitment to knowledge sharing and team growth. The emphasis on clean code, continuous learning, and leveraging AI tools aligns with modern, innovative engineering cultures. The candidate's proactive approach to problem-solving and efficiency improvements (e.g., cloud cost optimization, reducing manual processing) further strengthens their cultural alignment with results-oriented organizations.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including leadership (mentoring, leading Agile ceremonies), collaboration (cross-functional teamwork, code reviews), and problem-solving. Their experience in Agile/Scrum methodologies, commitment to clean architecture (SOLID, DRY), and continuous learning indicates a strong operational fit for dynamic and high-performing engineering teams. The ability to deliver complex projects ahead of schedule and receive CEO recognition highlights exceptional drive and ownership.