I am a Software developer, my expertise are in front-end development in AngularJS mainly. I am focussing my skills to increases my skills in data-science. I have experience in Mobile Application development, Mean Stack Development, Full Stack Development, Image Processing Application Development and building predictive models. Don't forget to check out my project are open-source on Github.
As Remote Front-end Developer it was my responsibility to understand client requirments and completing that requirement.
At Mob Inspire I work as a MEAN stack developer using AngularJS and Angular 2 for front-end and for back-end NodeJS Express building real time application with the use of socket.io and MongoDb as a database. Projects that I were worked on at Mobinspire http://www.bykea.com/ and making clone of was under development of https://tookanapp.com/
The technology stack that we used for building projects at Probist were AngularJs, semantic-ui, skeleton ,Bootstrap, LESS, CSS and Laravel for back-end. My responsibility were to work with an international client alone on his project called Myndplan(app.myndplan.com and clinician.myndplan.com). The client provided requirements and tasks which I used to complete given the deadline. Another project that I worked on was improving and integrating Hireninja website(www.hireninja.com and app.hireninja.com) my main responsibility was to integrate the micro-site with main site and improve the overall UI/UX experience as per given design and specification.
I was a team lead at 360 technologies in developing an employee attendance managment system at 360 technologies. The project was integrated with finger print reader device. So the overall project was to give insight to HR of employee attendance and automatic generation of email to employee if he marked his attendance late or more than required leaves were there.
At swam tech I was thought in building IOS application as an intern. Improved my skill in mobile apps which helped me in my final year project which was android voting system, with biometric finger print verifcation authentication through smart phone camera.
In my MS program my main focus is to prepare myself for a data-scientist role. So I have decided my electives as Machine Learning, Distritubed Data Engineering, Data Mining and Deep Learning. In Machine Learning course I have gotten an understanding of common algorithms used in Machine Learning: Decision Tree, Naive Bayes, Linear Regression, KNN, Neural Network etc. In course Data Distributed Engineering I have gotten understanding of Hadoop Framework: Setting up configuring Hadoop, YARN, HDFS and running Map Reduce operation. Higher level languages such as Pig Latin. In course Data mining I have gotten deeper understanding of using python for implementation of algorithms: Using python libraries pandas, scikit-learn and numpy. Implementation side of python. In course Deep Learning I have got deeper understanding of implementation of neural network: Using Tensor Flow with python and implementing neural networks from scratch.
My final year project was android voting system. Its main module was authentication of user through smartphone camera used c# and sockets for back-end for image manipulation used open cv. The application was able to handle multiple users as well.
I worked on Trabble at my time in Gryffintech as a remote front-end developer. My responsibilty were client requirment gathering and working together with client in making Trabble. Trabble is an app that help tourists in Singapore with chat bots my responsibilities included work on front-end revamp of GUI and solving performance issues.
View ProjectMyndplan is a psychology application my responsibility were in both front-end and back-end development. It's technology stack included AngularJs (Angular 1), Php Laravel, Mongodb, custom Less. This was my first Project at Probist and had the responsibility to overtake the complete project by myself and had to team up with client and develop the project.
View ProjectMy Second Project at Probist was working on Front-end for Hireninja. HireNinja offers pre-screened Coding Ninjas, so your project gets the best talent in the shortest time, yielding highest code quality. It's technology Stack included AngularJS(Angular 1),Skeleton for Grid System and using custom Css with pre-processor LESS.
View ProjectOne of my current projects are related to Big Data, these projects were part of my course Distributed Data Engineering in my Second Semester of Masters Program in Computer Science. The small project include configuration and installation of Hadoop, Yarn and Apache Spark.MapReduce Project, Pig Latin Project, Spark Sql Project, Analytics on Kaggle project using Apache Spark and implementation of KNN using Apache Spark.
View ProjectThese projects are related to machine learning,these projects were part of my course Machine Learning in my Second Semester of Masters Program in Computer Science. They also include some of the projects from popular Machine Learning Course from Coursera by Andrew Ng which should soon be completed as I am almost half way through it. Machine Learning Projects include training Models using scikit-learn, making a descsion tree from scratch, exploratory data analysis using Kaggle dataset, Linear Regression in python from Scratch.
View ProjectAt Mob Inspire I work as a MEAN stack developer using AngularJS and Angular 2 for front-end and for back-end NodeJS Express building real time application with the use of socket.io and MongoDb as a database. My responsibility was to build an app that has resembling functionality like Tookan app.
View ProjectAs a hobby project I decided to learn more about image processing stuff though I had done my final year project in Bachelors related to image processing of finger print detection using Emgu Cv but I had lost the code for it still have it's thesis report Android Voting System. The technology that was used in car speed detection was c# and Emgu CV.
View ProjectI have projects related to data science in Python. These projects include Exploratory Data analysis. Multivariate and Univarate Analysis using Binomial and Guassian. Mahalobis Distance related stuff. Web scrapping related stuff and plenty of probabilistic models.
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