CV

Visit my CV.

Education

March 2025 - Present: Krait Labs Inc.
- ML Research and Development Engineer
February 2024 - Present: Penta Globa Ltd
- ML Research and Development Engineer
- The Research and Development Team is dedicated to finding new ways and technologies mostly related to Machine Learning required to accomplish the project associated with the company to meet the client’s meets and requirements.
June 2016 - December 2021: Teacher’s Assistant
- Study Town’s Coaching
- I gained experience as a part-time Teacher’s Assistant during my 12th grade. This role allowed me to develop my communication and instructional skills by assisting in the creation of engaging mock exam papers and providing constructive feedback while marking student work. Provided 1:1 and group support for class activities and outdoor recreation.

January 10, 2026

Talk at HackerOne Bug Hunt 2026, Dhaka, Bangladesh

June 20, 2025

Talk at Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh

FabihaHaider/transliterated_nmt
- The model is based on pretrained Banglanmt_bn_en model finetuned on the BanglaTLit , dataset for the downstream task of Bangla to Transliterated Bangla
Library Management System, Database Project - 02/2021
- The project is about the management of a library in the public domain, with its own rules and regulations. Implemented in SQL using MySQL Workbench.
Pick A Plot, Android Project - 06/2021
- A space-sharing app that lets people look for space for various social events and meetings and also lets people post an ad if they have a space. Implemented using Android Studio and Firebase Database in Java Database.
Internet Programming : Driver Lagbe?, Internet Programming Project - 05/2023
- Driver Lagbe is a website application intended for hiring part-time drivers. The website was built to connect car owners who are looking for hourly-based available drivers and drivers who are free for such trips. The main features of the website were real-time available drivers’ location around a car owner, trip requests to drivers, acceptance and rejection of the request.
Heterogeneity-Aware Clustering and Deep Learning Models to Compress Smart Meter Data, Thesis - 01/2024
- We explore Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to cluster the smart meter ETS data from residential, industrial, and commercial subscribers. The clustered data are then compressed using different deep-learning models that is optimal for a respective cluster.