parvezmrobin[at]gmail[dot]com
As a polyglot software engineer with a strong background in software development and machine learning, my experience includes firsthand work with C++
, Go
, Python
, and TypeScript
for over three years.
Currently, I am a machine learning engineer at Siemens EDA AI – creating next generation AI platform for Electronic Design Automation (EDA).
March 2024 — Present
ElasticSearch
& Milvus
).
May 2022 — April 2023
March 2019 — July 2021
TypeScript
, Express JS
, Vue JS
,
Mongo DB
, and Docker
as the tech stack.
redis
) and various other services.
Golang
that
reduces the latency 10X.node.js
to ASP.Net
using Microsoft Azure
FaaS,
Cosmos DB,
and Queue Storage.January 2023 — Present
Software Quality Assurance,
Line Level Defect Prediction,
Code Context,
Code Structure,
Software Engineering,
Software Maintenance,
Deep Learning,
Transformers
Source Code Authorship Identification,
Deep Neural Network,
Random Forest,
Support Vector Machine,
Stacking Ensemble
Defect Prediction,
Just-in-Time,
Dataset,
Software Engineering,
Software Maintenance
Software Engineering,
Deep Neural Networks,
Dynamic Analysis,
Model Fault,
Static Analysis,
Training Fault
Software Engineering,
Code Reviews,
Code Changes,
Information Retrieval,
Software Maintenance
September 2021 – August 2023
Thesis: Comprehending Software Bugs Leveraging Code Structure in Neural Language Modelling
Supervisor: Masud Rahman
January 2015 – February 2019
Thesis: Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method
Supervisor: S.M. Rafizul Haque
MongoDB
Docker
TensorFlow
scikit-learn
PHP
Bootstrap
MySQL
Why don’t you send an email to parvezmrobin[at]gmail[dot]com and let’s talk.