Experience
Applied machine learning, research engineering, education, and service.
Professional experience
Associate Applied Machine Learning Specialist
- Built an automated benchmark-generation system grounded in textbooks and technical references, including OCR ingestion, multi-agent task design, verification, iterative repair, and semantic deduplication.
- Owned a large-scale medical figure extraction and preprocessing pipeline covering compound figures, subfigures, captions, and embedded subcaptions.
- Reduced Qwen2.5-VL batched inference latency from 4.0s to 1.2s per sample and multimodal summary generation from 4.0s to 0.6s.
- Supported OpenCLIP training on 18M image–text pairs through scalable preprocessing, quality checks, and reproducible workflow documentation.
Graduate Research Assistant
- Built reusable multimodal ML pipelines for dataset construction, preprocessing, experimentation, evaluation, and error analysis.
- Developed agentic workflows and benchmarks for data storytelling, chart reasoning, and interactive dashboard question answering.
- Co-developed GRPO post-training for text-to-visualization using post-execution multimodal feedback.
- Evaluated open and closed VLMs and compact judges across accuracy, robustness, consistency, and bias protocols.
Lecturer
- Designed and delivered theory and lab courses in structured programming, object-oriented programming, and systems analysis.
- Mentored students in debugging, reliable software construction, and technical communication.
Education
MSc in Computer Science
CGPA: 8.6/9.0
BSc in Computer Science and Engineering
CGPA: 3.77/4.0
Technical toolkit
Core engineering
Python, Linux, Git, SQL, Slurm, modular systems, profiling, and distributed workflows.
ML and multimodal systems
PyTorch, Hugging Face, vLLM, DeepSpeed, Vertex AI, and multimodal LLM/VLM workflows.
Post-training and evaluation
SFT, DPO, GRPO, reward modeling, model-as-judge, robustness evaluation, and error analysis.
Leadership and service
President, Bangladeshi Graduate Student Association at York
Peer reviewer
NeurIPS, ACL, EMNLP, COLM, NAACL, and ACL Rolling Review.
Outside work, I enjoy technical and general-interest podcasts, reading articles, and playing video games.