Dr. Anusha
Creator of whiletrue.live.
Treated more than 2000 patients as dentist.
Interested in dentistry, software development and computational biology.
About Me
As a dentist with 4 years of clinical experience, I have developed a keen interest in the intersection of healthcare and technology, particularly in the field of software development. With my passion for both dentistry and software, I am excited to explore new ways of improving patient care through innovative technological solutions. I am currently pursuing master’s in Bioinformatics, where I am gaining expertise in the intersection of biology and software. In addition to my work as a dentist, I have written several blogs on various dental problems and software. I am excited to continue exploring the field of Bioinformatics and applying my knowledge to advance healthcare through technology.
Software Development
As a dentist-turned-software developer, I bring a unique perspective to the field of healthcare technology. With experience in both clinical dentistry and software development, I am uniquely positioned to bridge the gap between these two fields. With a strong background in both clinical dentistry and programming, I am passionate about creating innovative software solutions that improve patient care and enhance the practice of dentistry. My expertise in languages such as Python, Java, and R, coupled with my studies in bioinformatics, has equipped me with the skills necessary to build robust and effective software systems. I am excited to continue exploring the limitless potential of technology in the healthcare industry.
Computational Biology (Bioinformatics)
In today’s era of big data and advanced technologies, computational methods have become increasingly essential to the field of biology. As a dentist with a passion for software development, I recognized the importance of these methods early on in my career. Pursuing an MS in Bioinformatics has allowed me to develop a deeper understanding of the power of computation in biological research. With a strong background in programming languages such as Python, Java, and R, I have developed a skill set that allows me to tackle complex biological problems with confidence. I am particularly interested in leveraging my expertise to contribute to the development of new therapies and technologies that improve patient outcomes. Whether it’s developing computational models to predict drug efficacy or analyzing genomic data to uncover new biomarkers, I am excited to continue exploring the possibilities of computational biology and make a meaningful impact in the field.
Dentistry
Started my career as a dental professional with vast knowledge of dental care and dental services. Motivated and bilingual licensed dentist with more than 4 years of experience in providing good and effective dental care to patients. I have treated more than 2000 patients while working as dentist.
Expertise in all areas of general dentistry combined with experience in effective business and staff management. Passionate in being updated with new advancements in dentistry and skilled in digital intraoral scanning and CEREC technology.
Exposed to various types of cases and good understanding on restorative dentistry, periodontics, oral surgery, prosthodontics and pediatrics.
AWS CloudTrail
In the ever-evolving landscape of cloud computing, ensuring the security and compliance of your infrastructure is paramount. AWS CloudTrail emerges as a crucial tool in this pursuit, offering organizations unparalleled visibility into their AWS accounts. In this blog, we delve into the world of AWS CloudTrail, exploring its features, benefits, and how it plays a pivotal role in enhancing the security posture of your AWS environment.
Posted January 2, 2024 by Anusha ‐ 3 min read
⌖ aws amazon-web-services cloud-computing cloud aws-cloudtrail
AWS Rekognition
In the realm of artificial intelligence and computer vision, Amazon Rekognition stands out as a powerful and versatile service. Developed by Amazon Web Services (AWS), Rekognition harnesses the capabilities of deep learning to analyze and interpret visual content. This comprehensive guide explores the features, applications, and potential impact of Amazon Rekognition in transforming the way we interact with and derive insights from visual data.
Posted January 3, 2024 by Anusha and Rohith ‐ 3 min read
⌖ aws amazon-web-services cloud-computing cloud aws-rekognition
AWS CloudWatch
In the rapidly evolving landscape of cloud computing, effective monitoring and management are indispensable for ensuring the optimal performance, reliability, and security of applications and services. One of the key players in this domain is Amazon CloudWatch, a comprehensive monitoring and management service offered by Amazon Web Services (AWS). This blog post explores the features, benefits, and use cases of Amazon CloudWatch, shedding light on its pivotal role in the cloud ecosystem.
AWS CodePipeline
In the fast-paced world of software development, the ability to deliver high-quality applications quickly and efficiently is crucial. Traditional manual deployment processes are becoming obsolete, and organizations are turning to Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate their software release workflows. AWS CodePipeline, a fully managed CI/CD service, plays a pivotal role in this transformation, allowing developers to focus on writing code while automating the build, test, and deployment phases.
Posted January 10, 2024 by Anusha and Rohith ‐ 3 min read
⌖ aws amazon-web-services cloud-computing cloud codepipeline
AWS CodeDeploy
In the fast-paced world of software development, deploying applications efficiently and reliably is crucial for ensuring a seamless user experience. AWS CodeDeploy, a fully managed deployment service offered by Amazon Web Services (AWS), emerges as a powerful solution to simplify and automate the deployment process. This blog explores the key features, benefits, and best practices of AWS CodeDeploy.
Posted January 12, 2024 by Anusha and Rohith ‐ 3 min read
⌖ aws amazon-web-services cloud-computing cloud aws-codedeploy