Ashraful Islam

Software Engineer III

Email:

Linkedin: ashraful-islam-a336b271

Github: ashrafulsust

StackOverflow: ashraful-islam

About Me

Data Engineering professional with Computer Science background developing recommendation systems, distributed scalable APIs, data pipelines, crawlers and applying machine learning models in NLP, computer vision and drug discovery.

Skills

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Big Data
  • Data Mining
  • Amazon Web Services
  • NoSQL
  • Relational DB
  • GraphDB

Technologies

  • Elasticsearch
  • Apache Solr
  • Apache Nutch
  • Apache Hadoop
  • Apache Spark
  • Apache Cassandra
  • MySQL
  • Amazon RDS
  • Amazon DynamoDB
  • JanusGraph
  • NumPy
  • Tensorflow
  • PyTorch
  • Android
  • Git

Languages

  • Python
  • Java
  • C
  • SQL
  • CQL
  • Gremlin

Educations

The University of Texas Rio Grande Valley, Edinburg, Texas

Major in Computer Science — 4.0 GPA

2021-2022

  • Presidential Graduate Research Assistantship Awardee
  • Thesis "AtomLBS: An Atom Based Convolutional Neural Network for Druggable Ligand Binding Site Prediction"
  • Coursework in Advance Machine Learning, Advance Artificial Intelligence, Information Retrival and Web Search, Theory Foundation Computation etc


Shahjalal University of Science and Technology, Bangladesh

Major in Computer Science and Engineering — 3.65 CGPA

2011-2015

  • Graduated in top 4% of class with rank 3rd
  • Coursework in Machine Learning, Artificial Intelligence, Basic Statistics & Probability, Discrete Mathematics, Theory of Computation, Data Structure, Algorithm Design & Analysis, Advance Data Structure & Algorithm, Digital Signal Processing, Calculus, Complex Variables, Laplace Transform and Fourier Series etc

Experiences

LexisNexis

Software Engineer III

Aug 2022-Present

LexisNexis is a division of RELX Inc., along with Elsevier. It is a data and analytics company that combines unparalleled legal and business information with analytics and technology.

Micro Credentials Project, UTRGV

Graduate Assistant

Jun 2021-Aug 2022

  • Coordinated with Faculty to develop a Micro Credentials Course on Web-Based Data Collection.
  • Designed course objectives and structure to align with educational goals and industry trends.
  • Created engaging content, assignments, and assessments for an interactive learning experience.
  • Leveraged knowledge in Python, BeautifulSoup, Selenium, Regex, SQLite

Machine Intelligence Lab, UTRGV

Graduate Research Assistant

Jun 2021-May 2022

The Machine Intelligence research team is led by Dr. Dongchul Kim and is made up of some of the top undergaraduate and graduate students at the University of Texas-Rio Grande Valley.

  • Worked on Molecule Generation and Virtual Screening Drug Discovery
  • Worked on IntelliBeeHive, an intelligent bee hive monitoring system that can detect bees, track bees, count in/out in real time
  • Leveraged knowledge in Reinforcement Learning, Deep Learning, Computer Vision, Object Detection, Object Tracking, Raspberry Pi, NVIDIA Jetson Nano

Goava Sales Intelligence AB

Team Lead & Senior Software Engineer

Dec 2017-May 2021

An insight tool for the B2B salesperson. Goava uses big data and machine learning to discover most likely buyers, provide company dashboard, monitor web, social media, notify important event of a company to relevant companies.

  • Fully Implemented Goava Discover API,a smart prospecting service for B2B sales
  • Fully Implemented Find Companies, a smart company data search and filter service
  • Fully Implemented Customer Fit, a customer fitness measuring service shows top apt and inapt reasons
  • Fully Implemented Company Import API, Import and linkup company data with auto field matching
  • Worked on company name and significant event detection in news articles
  • Worked on Crawling, Parsing, Indexing, Data Mining Nordic companies data
  • Leveraged knowledge in Python, AWS Services, ElasticSearch, Apache Nutch, MySQL, Recommendation System, Machine Learning

IPVision Canada Inc.

Big Data R&D Developer

Sept 2015-Nov 2017

Parent company of the Multi-Dimensional Social Network RingID. RingID has NewsFeed, Chat, Audio/Video Call, Live, Channel etc.

  • Research and Developed Trending Media service
  • Research and Developed Recommended Media service
  • Research and Developed Graph Search
  • Research and Developed Bangla Phonetic Search
  • Developed RingID APIs in Distributed, Linear scalability, high availability NoSQL database Apache Cassandra
  • Leveraged knowledge in Java, Apache Cassandra, Apache Solr, MySQL, GraphDB, Recommendation System, Machine Learning

Publications

Md Mahadi Hasan Nahid, Md Ashraful Islam and Md Saiful Islam. Comparison of VQ and GMM for Text In- dependent Speaker Identi- fication System for The Bengali Language. International Journal of Computer Applications 178(47):18-21, September 2019

Md Mahadi Hasan Nahid, Md Ashraful Islam and Md Saiful Islam. Comprehending Real Numbers : Development of Bengali Real Number Speech Corpus. arXiv:1803.10136v1 [eess.AS] 27 Mar 2018

Md Mahadi Hasan Nahid, Md Ashraful Islam and Md Saiful Islam. A noble approach for recognizing Bangla real number automatically using CMU Sphinx4. 2016 5th International Conference on Infor- matics, Electro- nics and Vision (ICIEV), Dhaka, 2016, pp. 844-849.

Achievements

10K+ Reputation in StackOverflow, Top Tags : Cassandra, Java, Solr

2021

Champion, Code Warriors’ Challenge, 2015, Mobile Application Development

2015

Widespace Scholarship

2014

Champion, Code Warriors’ Challenge, 2014, Mobile Application Development

2014

Champion, Sylhet zone, National Mobile Application Awareness and Capacity Development Program

2014

University Merit Scholarship Second Year

2012

University Merit Scholarship First Year

2011

Ashraful Islam —