Hi, I’m Saroar, Software Engineer with over four years of professional work experience.
My passion lies in both frontend and backend development, as well as DevOps and Machine Learning.
I am skilled at Java, JavaScript, Python, Spring, React, Node, AWS, Docker, Kubernetes and more.
Cultivating innovation is where technology finds its true purpose, and I'm
committed to forging that connection with my adept skills in software engineering.
My goal is to leverage my expertise in software development, cloud infrastructure,
and machine learning to drive innovation and solve complex problems.
I am passionate about optimizing processes and crafting transformative solutions
that make a positive impact.
I excel in software engineering, adept at building scalable solutions using frontend and backend technologies. With a strong foundation in DevOps practices, I deploy and manage cloud-native applications seamlessly using tools like Docker, Kubernetes, and more, ensuring efficient and reliable software delivery.
I educate, refine, and drive myself to be a better person. I
enjoy meeting new people and hearing new perspectives.
When
I am not working, I love to read books, watch movies, or write on
Memjour.
I also enjoy cooking, eating, and nurture a passion for travel
with a goal of visiting all seven continents by the age of 40.
Streamlined migration of virtual environments and infrastructure across cloud platforms, yielding $18,000 in annual operational savings and enhancing system response time by 15%.
Developed a bespoke mentoring matching application, achieving over 90% success in pairing mentors with mentees.
Automated critical processes, notably reducing user onboarding time from days to seconds, enhancing operational efficiency.
Provided support to Program Manager and Principal Investigator for the IBM Canada partnership, maintaining our Learning Management System, and ensuring timely milestone accomplishments.
Established a robust ticket management system, conducted website enhancements and bug fixes, and authored comprehensive documentation for future development reference.
Conducted research in state of automation in open source software, leading to the publication of a conference paper and another journal paper currently under review.
Performed statistical analyses on mining and survey data, deriving key insights for evidence-based decision-making.
Mentored undergraduate students, guiding them in research projects and developing their research skills.
Developed features using Agile methodologies as a full‑stack software engineer for an education information management system by UNICEF, serving over 20M students, 150K schools, and 350K teachers.
Migrated database vendor from Oracle to PostgreSQL, helping a statement delivery company save about $60,000 per year.
Transformed an EJB monolithic application to Spring‑based microservices, upgraded older plugins and libraries to latest versions, and wrote custom plugins, to speed up the website nearly two times.
Redesigned application to be completely accessible (WCAG) and responsive, helping their product become 508‑compliant, attaining exceptional customer satisfaction, and consequently drawing 20% more customers.
Revamped fraud detection for a financial institution by transforming highly imbalanced dataset and applying machine learning models (XGBoost, Local Outlier, Isolation Forest), boosting fraud detection rate by 20% and reducing false negatives by 15%.
Led a team to analyze local newspaper articles for sentiment analysis, discerning positive and negative news trends, and helping gauge the effectiveness of businesses and the government.
Participated in requirement analysis, sprint planning, system design, documentation, and code reviews.
Mentored new employees on Design Patterns, JavaScript, and fundamentals of Machine Learning (ML).
Worked on a custom CMS built with Grails.
Created a few Grails plugin.
Fixed bugs and wrote proper documentations.
Graduated with First Class Distinction.
Graduated with distinction. I was also listed into the Dean's list and the Vice Chancellor's list.
This professional certificate helps anyone interested in pursuing a career in machine learning or data science learn the foundations of data science and develop hands-on skills using the tools, languages, and libraries used by professional data scientists.
The Deep Learning Specialization is a foundational program that helps individuals understand the capabilities, challenges, and consequences of deep learning and prepare them to participate in the development of leading-edge AI technology.
The AWS Cloud Practitioner exam enables individuals with an overall understanding of the AWS Cloud to validate their knowledge with an industry-recognized credential.