Mazhar HossainDownload CV

Engineering experience Research interests

Data and backend engineering, with a current focus on applied AI and digital health research.

A little about me

Data and ML engineer with 6+ years building scalable data pipelines, APIs and applied machine learning systems that drive insight and better decisions.

I’m a Graduate Research Assistant and CS PhD student at Marquette University, building ML-driven mHealth platforms, computer vision for remote biomarker estimation, agentic AI for research automation, and the full-stack systems that bring them to study participants.

Before that, at Cefalo, I built and ran the data pipelines of a Pan-European power-market forecasting platform: 300+ pipelines ingesting 1M+ data points a day from 500+ sources, with automated verification that cut debugging time by 95%.

I enjoy solving complex data problems, building fast and reliable pipelines, and turning raw data into something people can use. I’m always open to collaborating on challenging, impactful projects.

Current role

Graduate Research Assistant

Marquette University

Focus

AI & digital health

Contactless sensing · Agentic AI · EEG

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Education

  1. Jan 2026 – May 2031 (Expected)

    Ph.D. in Computer Science

    Marquette University

    Milwaukee, WI, USA

    mHealth, contactless physiological sensing, agentic AI, and EEG-based brain–computer interfaces

  2. 2014–2018

    B.Sc. in Electronics & Communication Engineering

    Khulna University of Engineering & Technology

    Khulna, Bangladesh

    Relevant coursework

    • Computer Fundamentals & Programming
    • Object Oriented Programming
    • Data Structures & Algorithms
    • Database Systems
    • Web Design & Development
    • Computer Networks

  3. 2011–2013

    Higher Secondary Certificate in Science

    Saidpur Government Technical College

    Nilphamari, Bangladesh

Technical expertise

Data & analytics

Reliable pipelines, storage, and visual insights.

Data Engineering
Data pipelines, ETL, batch processing, Apache Airflow, Celery, SFTP automation, Selenium, BeautifulSoup, Scrapy, Data Quality
Databases
PostgreSQL, MySQL, MongoDB, Apache Cassandra, Redis, Qdrant, ChromaDB, FAISS
Data Visualization
Matplotlib, Plotly, Streamlit, Jupyter, TensorBoard

Software engineering

Languages, APIs, web applications, and mobile tools.

Backend & Systems
Django, Django REST Framework, FastAPI, Flask, Node.js (NestJS), RESTful APIs, OpenAPI, gRPC, Event-Driven Microservices, Twilio
Languages
Python, JavaScript, SQL, Bash
Frontend & Mobile
React, React Native, Next.js, Android, Bootstrap

AI & machine learning

Models, vision, language, and agentic systems.

Machine Learning
Deep Learning, PyTorch, TensorFlow, scikit-learn, NumPy, Pandas
Computer Vision
OpenCV, MediaPipe, YOLOv3, SSD, Faster R-CNN, UNet, MODNet
NLP
Transformers (BERT, JointBERT), RASA, SpaCy, NLTK
LLMs & Agentic AI
Large Language Models, Generative AI, LangGraph multi-agent pipelines, RAG, prompt engineering, Hugging Face embeddings, Ollama, Langfuse

Cloud, quality & security

Deployment, monitoring, testing, and secure systems.

Cloud & DevOps
AWS (EC2, S3, RDS, ECS, Lambda, SQS, IAM, CloudWatch), GCP (BigQuery, Bigtable, Pub/Sub), Azure Service Bus, Docker, GitHub Actions, CI/CD, NGINX, Git
Monitoring
Prometheus, Grafana, Slack alerting, Observability
Testing
Unit testing, Pytest
Security
OWASP Top 10, JWT, CSRF, RBAC, Prompt-Injection Protection, Audit Logging

Professional strengths & languages

Professional strengths

  • Leadership
  • Analytical Skills
  • Time Management
  • Teamwork & Coordination

Languages

English
Professional Working Proficiency

Certifications & training

Learning across AI, Python, data, security, and web development, with issuer details and credential links.

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Recognition & community

Competitive programming placements and technical contributions to the developer community.

View recognition & community