Hi, I'm Md Shakhaout Hossain
Lead AI Engineer
I specialize in building and deploying scalable deep learning systems from prototype to production. With 6 years of experience, I turn complex data into actionable insights and intelligent products.
![A professional headshot of [Your Name]](./images/profile-photo.jpg)
About Me
With over six years in the AI industry, I've had the privilege of working on challenging problems in Machine learning, Deep learning, Computer vision, Data science and MLOps. My journey began with a curiosity for how machines could learn, and it has evolved into a career focused on creating robust, efficient, and impactful AI solutions.
I thrive in collaborative environments where I can bridge the gap between research and engineering, ensuring that models not only perform well but are also maintainable, scalable, and integrated seamlessly into business operations.
Technical Skills
Languages & Databases
Frameworks
Libraries & SDKs
Professional Experience
2022 - Present
Lead AI Engineer at Hiperdyne Corporation
- Led the development, design, planning and execution of multiple client projects.
- Designed and deployed a scalable MLOps framework on AWS, standardizing model deployment across the company.
- Mentored junior engineers on best practices in model development and software engineering.
2019 - 2022
Machine Learning Engineer at Hiperdyne Corporation
- Built and trained machine learning models for automated quality inspection in manufacturing.
- Developed fraud detection system for large scale user application.
2017 - 2018
Research Assistant
- This research project was funded by LGED, Bangladesh.
- Develop and deploying automatic alarming system in accident prone rail crossing in remote areas.
- As a researcher, was involved in software, mechanical and electrical design, procurement and installation..
Education
2022 - current
PhD candidate in Information Science
Nara Institute of Science and Technology, Nara, Japan
Research: Application of Deep learning in Medical Imaging
2013 - 2017
Bachelor of Science in Mechanical Engineering
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
Thesis: STUDY ON HEAT TRANSFER CHARACTERSTICS OF CLOSED LOOP HEAT PIPE FOR DIFFERENT WORKING FLUIDS WITH INTERNAL FIN
Publications & Patents
📜 Publications
No-Reference Blurred Image Detection from Colonoscopy Videos Using Walsh-Hadamard Transform and Kolmogorov Smirnov Test
MD Shakhaout Hossain, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2024. Published in IEEE International Workshop on Imaging Systems and Techniques (IST).
View PublicationErgonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning
Md Shakhaout Hossain, Sami Azam, Asif Karim, Sidratul Montaha, Ryana Quadir, Friso De Boer, 2023. Published in IEEE Access.
View PublicationAutomatic Rail Crossing Alarming System
Sums Uz Zaman, Shakhaout Hossain, Celia Shahnaz, 2019. Published in 2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
View Publication💡 Patents
コンピュータプログラム、画像処理方法及び画像処理装置
Inventors: ホッサイン シャカウト, 五十嵐 一浩, 山下 真吾, 宮島 靖, アブドスサブル ムハマッド. Patent No. P7498534. Issued on 2024.6.12.
View Patent DetailsFeatured Projects
Leadership Role • Computer Vision
Real-time Multi-Camera Multi-Person Tracking System
Designed and led the execution of a state-of-the-art system to track individuals across non-overlapping cameras in complex, real-world environments.
Impact:
Achieved state-of-the-art tracking performance, delivering a scalable and highly accurate solution for a leading Japanese IT company.
Experience:
- Implemented state of art algorithm which could solve existing tracking issues.
- Hands on experiance to implement PostgresQL with proper transaction mechanism.
- Handled millions of data pipeline and prepared a memory optimized realtime application.
- Implemented RedisDB to handle data amount of data.
- Deployed the realtime system using docker.
Tech Stack
Published Patent • Generative AI
Privacy-Preserving Face Swapping with Diffusion Models
Developed a state-of-the-art video application that replaces faces for privacy, creating a natural and realistic result. Instead of using jarring blurs, our system intelligently generates a new face that matches the original person's head movements and expressions, making the video feel seamless and professional.
Impact:
This innovative work resulted in a published Japanese patent, solidifying its novelty and commercial value.
Edge AI • Computer Vision
Real-time Object Pose Estimation on Edge Devices
Developed and deployed a Higher-HRNet based model to estimate object keypoints and pose in real-time on a resource-constrained NVIDIA Jetson device.
Impact:
Achieved an inference speed of 25 FPS on live webcam video, enabling real-time robotics and AR applications.
Tech Stack
Computer Vision
Automated Parking Lot Management System
Managed data acquisition via quadcopter and trained a YOLOv3 model to automate the detection of available spaces from aerial imagery.
Impact:
The model successfully automated vehicle detection, providing the foundation for a real-time parking availability system.
MLOps • Cloud Automation
Automated ML Model Deployment & Production Pipelines
Engineered end-to-end automated pipelines on AWS for a fraud detection and a user traffic forecasting model for a major telecommunications provider.
Impact:
Delivered two fully automated, production-grade ML systems that operate with high reliability and minimal manual intervention.
Edge AI • Real-time Systems
Low-Latency Streaming Application
Built a real-time, multi-channel streaming app on NVIDIA Jetson, synchronizing video and audio with ultra-low latency using UDP for a telemedicine use-case.
Impact:
Created a responsive prototype for a major manufacturer, proving the feasibility of complex streaming on embedded hardware.
Tech Stack
Predictive Maintenance
Industrial Equipment Throughput Classification
Performed EDA and benchmarked models to classify throughput in industrial equipment for a leading machine tool manufacturing company.
Impact:
The final XGBoost model achieved 98% classification accuracy, enabling a robust predictive maintenance solution.
Tech Stack
Predictive Maintenance
Predictive Maintenance for Railway Infrastructure
Analyzed large-scale sensor data and developed regression models to predict potential structural failures in railway tracks.
Impact:
Created a model to help maintenance teams proactively address points of failure, enhancing safety and operational efficiency.
Tech Stack
Unsupervised Learning
Solar Panel Anomaly Detection
Developed a data pipeline and trained an AutoEncoder model to automatically detect defects in solar panels from aerial video footage.
Impact:
Delivered an automated inspection system that quickly identifies faulty panels over a large area, improving maintenance efficiency.
Tech Stack
NLP • Generative AI
NLP Prompt Engineering for LLM Reliability
Researched and applied techniques like CoT and ReAct to improve the reliability of LLMs, developing a Gradio app to demonstrate the strategies.
Impact:
Built a system capable of significantly suppressing LLM hallucinations and steering model behavior towards precise outcomes.
Tech Stack
Research Implementation
Human Biomechanics Estimation from 2D Video
Implemented a complex research paper to estimate human Center of Mass (COM) and joint torques using human keypoint estimation based model HRNet from 2D video.
Impact:
Successfully translated a complex academic paper into a practical application, demonstrating strong research and problem-solving skills.
Certifications & Professional Development
Machine Learning and Deep Learning with Python
Hiperdyne
Fundamentals of Reinforcement Learning
Coursera
Short Course on Nuclear Power Engineering
INPE
Extracurricular Activities
![[Your University Robotics Club] team photo](./images/techkriti.jpg)
BUET Fireflies
Robotics Team Lead
Led a team of 3 students in designing and building an autonomous Maze solver robot for an international competition, securing champion. Responsible for programming, mechanical design and sensor integration.
![[Your University Robotics Club] team photo](./images/techfest.jpg)
BUET Fireflies
Robotics Team Member
Secured Top 5 position in an international Maze solver and Grab&Pick robotics competition. Responsible for mechanical design and sensor integration.
![[Your University Robotics Club] team photo](./images/ERC.jpg)
Interplanetars
Robotics Team Member
Participated in European Rover Challenge (ERC) competition in Poland. Responsible for mechanical design and sensor integration.
![[Your University Robotics Club] team photo](./images/BRS.jpg)
BUET Robotics Society (BRS)
Co-Founder & General Secretary
Beyond my professional work, I was one of the founding members of my university's robotics club. I have arranged and managed national level robotics competition and robotics workshops.
![[Your University Robotics Club] team photo](./images/ecorun.jpg)
BUET TEKTON
Team Member
As a founding member of BUET Tekton, we participated in fuel efficient vehicle design competition. I was responsible for mechanical design, procurement and team management.
Hobbies & Interests
Hiking & The Outdoors
I find clarity and challenge on the trail. Hiking is my way to disconnect from technology and reconnect with nature. It's taught me the value of persistence, preparation, and appreciating the journey as much as the destination.
Moments from the Trail
Mount Fuji, Japan (highest mountain of Japan)
Mount Kumotori, Tokyo, Japan (highest peak of Tokyo)
Mount Siraiwayama, Saitama, Japan
Cultural Exploration & Travel
Traveling opens my mind to new perspectives and ways of life. I enjoy immersing myself in nature, trying new foods, and understanding history firsthand. This curiosity and adaptability translate directly into my work.
The Travel Log
Osaka castle, Osaka, Japan
Kegon falls, Nikko, Japan
Lake Ashi, Hakone, Japan
Let's Connect
I'm currently open to new opportunities and collaborations. If you have a project in mind or just want to chat about AI, feel free to reach out.