Sk Golam Saroar

About Me

Name: Sk Golam Saroar
Address: Toronto, ON, Canada
Phone: (+1) 437 2361935
Email: contact@golamsaroar.com

Objective

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.

What I Do ?

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.

Frontend Development
Backend Development
Cloud Infrastructure Management
System Architecture Design
DevOps Automation
CI/CD Pipeline Implementation
Agile Project Management
Machine Learning Applications

Interests

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.

Send me message download my cv

Resume

Work Experience

2023-Present

DIVERT Mental Health
Cloud Infrastructure and Web Developer

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.
2021-2023

York University
Graduate Research Assistant

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.
2017-2021

Dynamic Solution Innovators Ltd
Software Engineer

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).
2017-2017

Bit Mascot (Pvt) Ltd, Dhaka
Junior Software Engineer

Worked on a custom CMS built with Grails.
Created a few Grails plugin.
Fixed bugs and wrote proper documentations.

Education

2021-2023

Master of Science
M.Sc in Computer Science, York University
CGPA 8.4 (On a Scale of 9)

Graduated with First Class Distinction.
2013-2017

Bachelor of Science
B.Sc in Computer Science & Engineering, BRAC University
CGPA 3.54 (On a Scale of 4)

Graduated with distinction. I was also listed into the Dean's list and the Vice Chancellor's list.

Skills

Java

85%

JavaScript

88%

Python

80%

SQL

90%

Spring

80%

React

80%

MongoDB

75%

AWS

65%

Docker

80%

Kubernetes

50%

More skills

TypeScript

NodeJS

RESTful APIs

Redux

JUnit

HTML5/CSS3

Certificates

IBM Data Science Professional

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.

Deep Learning Specialization

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.

AWS Certified Cloud Practitioner

The AWS Cloud Practitioner exam enables individuals with an overall understanding of the AWS Cloud to validate their knowledge with an industry-recognized credential.

Projects

Memjour

It's an online journal where users can write daily stories, keep track of books, movies, and TV shows, filter stories by moods, tags, dates, etc.

Facial Expression Detection

A sentiment analysis tool to detect the six basic expressions: happiness, sadness, anger, surprise, fear, and disgust from images and videos.

Toxic Comments Classification

Classifying a large number of Wikipedia comments as being either toxic or not.

Bank Customer Segmentation

Training an unsupervised machine learning algorithm to perform bank customer segmentation.

Traffic Signs Classification

Training Convolutional Neural Networks (CNNs) to classify 43 traffic sign images.

Employee Turnover Prediction

Predicting Employee Turnover with Decision Trees and Random Forests using scikit-learn.

Interactive Dashboard with Python

An interactive dashboard built with streamlit for the sentiment analysis of tweets about US Airlines.

EDA in Breast Cancer Classification

Using Seaborn for exploratory data analysis and XGBoost to classify tumors as either benign or malignant.

Facial Key-points Recognition

Training Convolutional Neural Networks (CNNs) and Residual Blocks to detect 15 facial key-points.

Named Entity Recognition

Building and training a bidirectional LSTM neural network model to recognize named entities in text data.

Automatic ML with H2O

Apply automatic machine learning to a business analytics problem with the H2O AutoML interface in Python.

Clustering Geolocation Data

Clustering geolocation data with K-Means, DBSCAN, and HDBSCAN to help build service stations for taxis in an efficient manner.

Check out my GitHub Profile to view all of my projects.

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