About
I'm a robot vision researcher working on self-supervised learning for robot perception, aimed at reducing the need for labeled data in field and underwater environments. My past work includes benchmarking YOLOv11, RT-DETR, and Faster R-CNN for thermal-imaging-based crop detection, and I'm now pursuing a PhD in this space, with particular interest in agricultural and aquaculture robotics.
Research Interests
News
- Jun 2026 Paper on ML-enabled Li-Fi networks accepted at IEEE PECCII 2026
- Apr 2026 Joined Zenov as Associate, Air Import
- Jul 2025 Graduated from RUET with B.Sc. in Mechatronics Engineering
- Jan 2025 Launched InvoiceVision — invoice extraction using Qwen 2.5 VL
- Dec 2024 Released DocShield for automatic PII redaction
- Feb 2022 Completed Data Science internship at The Sparks Foundation
Publications
BibTeX
Selected Projects
Benchmarked YOLOv11m against a QAAP-enhanced variant, Faster R-CNN, and RT-DETR for thermal capsicum detection, with a custom CLAHE-based preprocessing pipeline for low-quality thermal data.
Streamlit app for extracting structured data from invoice images using Qwen 2.5 VL via OpenRouter API.
Automated PII detection and redaction for PDF documents using OCR and pattern recognition.
Attention-driven text-to-image synthesis using AttnGAN architecture with word-level attention.
Real-time vehicle detection using YOLOv8, optimized for Raspberry Pi deployment.
Experience
- Manage air import operations for a US-based team: airline tracking, import confirmations, ETD/ETA updates, ABI queries, and TMS data entry
- Built Import Confirm Assistant, a PyQt6 desktop system (Playwright, FastAPI, PostgreSQL/pgvector, OCR, Claude API) that reconciles Manifest data against TMS records without ever auto-submitting forms
- Built an RPA bot tracking ETA/ETD across ~250 airlines, cutting per-shipment tracking time from 1 minute to 10 seconds
- Developing a second automation tool projected to cut a 10-minute task to 1 minute across ~100 daily tasks
- Developed predictive models for house price prediction using feature engineering
- Built SVM classification pipeline for breast cancer detection with hyperparameter tuning
- Coordinated technical workshops and robotics competitions for 500+ students
- Facilitated knowledge sharing sessions on embedded systems and robotics
Education
CGPA: 3.17 / 4.00 (Last 2 Semesters: 3.65/4.00)
Technical Skills
Languages
Python, C++, SQL, JavaScript
ML/DL Frameworks
PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain
Robotics
ROS2, SLAM, Robot Perception, Gazebo, Nav Stack
Tools & Platforms
Docker, FastAPI, Git, Linux, Streamlit, OpenCV, Playwright, PyQt6
Computer Vision
Object Detection, Segmentation, OCR, YOLO, CNNs, Transformers
NLP & LLMs
RAG, Prompt Engineering, Generation