Md. Zarif Ul Alam Email & Phone Number

Amherst, MA, US

Amherst, Massachusetts, United States

Dhaka, Bangladesh

• Worked on further improving the perishable prediction algorithm by incorporating probability distributions and uncertainty estimation.
• Laid the groundwork for personalized recommendations and marketing for the Chaldal platform.
• Created Superset dashboards to monitor real-time performance of the ML models deployed in production, enabling quick identification and resolution of issues.
• Ported the existing ML systems to our new Kubernetes based infrastructure.
• Onboarded new team members and helped to get up to speed with the projects.

Dhaka, Bangladesh

• Developed a new Machine Learning driven perishable demand prediction algorithm that is a 70% improvement from its predecessor and is estimated to save 2000K BDT per month.
• Integrated the new address search feature into the core Chaldal platform (website and app). Gives users a more accurate and faster address search experience in the checkout process.
• Worked on creating a geospatial language model to help optimize delivery agents to deliver orders faster and more efficiently.

Dhaka, Bangladesh

• 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. The project greatly reduced the.
• Developed a reinforcement learning based in-house recommender system from the ground up for category based product recommendation.
• 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..

Remotely worked as a Research Intern at Dr. Min Xu’s lab at Carnegie Mellon University.Worked on developing an annotation-efficient semi-supervised particle-picking 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.

Dhaka, Bangladesh

• 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.
• Improved efficiency and transparency of the legacy application process.The system was launched in February 2023 for internal use at BUET.

• Worked in Big Data Intelligence (BDI) Lab under Dr. Shubhra Kanti Karmaker
• 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

Bangladesh

• Collaborated closely with the ML team to develop a new forecasting model for Unilever Bangladesh.
• Applied data engineering techniques to refine and process raw sales data, contributing to a more accurate and insightful forecasting system.

Doctor Of Philosophy - Phd, Computer Science

Bachelor Of Science - Bs, Computer Science And Engineering

Activities and Societies: IEEE Computer Society (BUET Student Branch Chapter), BUET Math Club (Onuronon/অনুরণন)Completed my BSc. from the.

Hsc (Gpa 5 Out Of 5)

Activities and Societies: Physics Olympiad

Ssc (Gpa 5 Out Of 5)

Activities and Societies: Chief Editor (Scintilla Science Club)