AI Engineering x Biomedical Engineering
I work across machine learning, deep learning, computer vision, LLM/RAG applications, MLOps-minded deployment workflows, biomedical AI, and automation systems with clear documentation, real prototypes, and research-friendly technical depth.
Technical Communication
My portfolio is not only project output. Through KUET Career Club work, I have built experience in public speaking, event coordination, audience communication, and presenting technical ideas in a clear, organized way.
Featured Biomedical System
Portable AI cardiopulmonary exercise testing concept combining biomedical sensing, real-time dashboarding, and AI-assisted reporting for sports and rehabilitation contexts.
Software Systems
I design practical AI tools around documents, research, OCR, model routing, dashboards, streaming responses, and low-cost deployment workflows.
Proof & Recognition
Calibration 2.0 recognition shown exactly as visible in the award proof image: 1st Runner Up in Poster Presentation, organised by Department of Mechatronics Engineering.
About
I am a Biomedical Engineering student at KUET positioning myself as a Biomedical AI Engineer and AI/ML developer.
My work includes machine learning, deep learning, computer vision, LLM/RAG applications, biomedical signal/software systems, automation workflows, and MLOps-aware deployment practice. I prefer building real, working systems with clear technical documentation and deployable architecture.
Featured Systems
Current direction first: AI engineering, machine learning, deep learning, computer vision, MLOps-minded deployment, biomedical AI, production LLM apps, and automation systems. Older experiments are separated below so the strongest work stays easy to find.
Prototype
Biomedical AI / Embedded System
AI-powered portable cardiopulmonary exercise testing concept for South Asian football clubs, combining biomedical sensors, real-time dashboarding, and AI-assisted reporting.
In progress
LLM Application / Personal AI System
Self-hosted AI workspace for documents, research, RAG, model routing, artifacts, OCR, and low-cost AI productivity.
Published
YOLOv8s + ByteTrack output sample
Computer Vision / Deep Learning / Aerial Tracking
YOLOv8s and ByteTrack pipeline for drone-based detection, persistent object IDs, per-class counts, and evaluation on VisDrone.
E-commerce Automation / AI Agent Workflow
Automation bots for product-based ecommerce workflows: comment handling, moderation queues, review capture, tracking sheets, alerts, and AI-assisted screenshot understanding.
Prototype
Biomedical NLP / RAG
Biomedical question-answering prototype using retrieval-augmented generation and domain-focused knowledge retrieval.
AI + Education Tooling
AI tool that turns math prompts into Manim-based visual animations for explainable educational content.
Earlier Work
These projects show earlier AI/ML, data, and product exploration. They are kept visible, but separated from the current featured systems.
Medical assistant prototype combining voice input, image analysis, and AI-generated responses.
Audio news generation workflow using social media analysis and text-to-speech tooling.
Applied ML experiment for symptom-based disease prediction.
Data analysis, visualization, and competition-style ML practice.
Skills
Python, Scikit-learn, Pandas, NumPy, feature engineering, supervised ML, model evaluation, and applied ML pipelines.
PyTorch, TensorFlow, CNN workflows, neural network training, validation, experiment tracking habits, and biomedical AI modeling.
YOLOv8s, ByteTrack, OpenCV, object detection, multi-object tracking, aerial imagery, counting overlays, and visual evaluation.
LangChain, Hugging Face, FAISS/Qdrant, OpenRouter/Groq, Gemini, prompt engineering, document QA, OCR pipelines.
FastAPI services, Docker-aware workflows, Git/GitHub, deployment on Vercel/Render, reproducible runs, API integration, and model-serving patterns.
FastAPI, REST APIs, SSE, WebSockets, Docker, SQLite/PostgreSQL, Appwrite-backed workflows.
Next.js, React, TypeScript, Tailwind, Recharts, responsive UI, dashboard interfaces.
ECG, SpO2, biomedical signals, Arduino, Raspberry Pi, sensors, cardiopulmonary systems.
n8n, Meta Graph API, Telegram bots, Google Sheets automation, workflow design.
Git, GitHub, VS Code, Vercel, Render, Appwrite, Power BI, MATLAB, SolidWorks.
Experience & Leadership
These roles show real organization, data/content workflow, team communication, and review discipline alongside my AI/ML and biomedical systems work.
10 Minute School
Contributed to edtech project operations, quality assurance, and large-scale educational content/data handling where accuracy, consistency, and timely execution were important.
KUET Career Club
Led and supported student-focused career programs, event operations, hosting, communication, and audience engagement at KUET.
Udvash
Evaluated academic scripts with focus on accuracy, consistency, and assessment quality.
Education
Khulna University of Engineering & Technology (KUET)
Savar Cantonment Public College
Achievements
Displayed according to the visible award board text: BDT 5000, to Meditronics, for being 1st Runner Up in Poster Presentation, organised by Department of Mechatronics Engineering.
All unique certificates are listed in the dedicated certificates section below, with direct PDF links.
Certificates
PDF certificates are grouped as formal credential cards so professors, recruiters, and collaborators can quickly recognize the learning record and open proof when needed.
Visual Evidence
This section is not another project list. It gives professors, recruiters, and collaborators quick visual context behind the featured systems: research presentation evidence, competition participation, and real software-building workflow.
Contact
Open to AI engineering, machine learning, deep learning, computer vision, MLOps, Research Assistant, biomedical AI, and practical automation opportunities with clear scope.
