Experience 👨🏻‍💻

Chaldal Ltd.

Got promoted to Level 3 in record time of company’s history!
Working on creating a geospatial language model to help optimize delivery agents to deliver orders faster and more efficiently.

Led the research and development of a new address search feature. Improved the existing Lucene based search using fine-tuned LLM, retrieval augmented generation (RAG), and re-ranking. Improved the accuracy to over 60% from just 10% after taking over the project. The project greatly reduced the need for humans in the loop for this essential process and has optimized delivery logistics. We will be submitting our work in ACL 2024 - Industry Track
Developed a new Machine Learning driven perishable prediction algorithm that is a 20% improvement from its predecessor and is estimated to save 2000K BDT per month.
Developed an in-house recommender system from the ground up for the leading online platform (Chaldal.com) for grocery and delivery in Bangladesh, scaling it to serve more than one million users.
Created an AB testing framework for the recommender system that is able to handle quick experiment iterations with no downtime! It is used to evaluate the performance of different recommendation models in production. Currently used to test on 200K+ customers.

🏷️ LLM Retrieval Augmented Generation RecSys Reinforcement Learning

Worked on developing a semi-supervised framework for 3D object detection from macromolecular samples. The goal was to detect and classify particles from cryo-electron tomogramss having signal-to-noise ratio as low as 0.1, making it a very challenging problem.

🏷️ 3D Object Detection Cryo-EM Semi-Supervised Learning Deep Learning

Developed a comprehensive online portal for advance payment application and tracking for the Directorate of Advisory, Extension and Research Services (DAERS), BUET.
Designed and implemented the backend from scratch to production, using Django Rest Framework, PostgreSQL, and Docker, according to the client’s custom need and workflow.

🏷️ REST API Backend Development Django REST Framework PostgreSQL

Worked in Big Data Intelligence (BDI) Lab under Dr. Shubhra Kanti Karmaker, Assistant Professor, Auburn University, Alabama on Short Text Stream Clustering
Developed with a team a new software tool called One Pass Sentence Embedding Clustering (OPSEC) that is designed to efficiently cluster short text streams
Utilized a unique one-pass algorithm that calculates similarity scores based on sentence embeddings to cluster the short texts
Outperforms current state-of-the-art methods in terms of both accuracy and quality of clustering for short text streams

🏷️ Natural Language Processing Machine Learning Clustering

Worked with a team that developed a new sales forecasting model for Unilever Bangladesh
Applied data engineering techniques on raw sales data

🏷️ Data Engineering Forecasting