Software Engineer (Python)
উপায় (upay) - UCB Fintech Company Limited
- Built and maintained MFS systems using Django REST Framework, improving request handling efficiency
Hi, I'm Md. Harun-Ur-Rashid Entrepreneurial Engineer | Software Engineer | AI/ML Mentor
"I believe no problem is beyond human inventiveness."
About Me
Biography
Current Role & Expertise I'm Harun-Ur-Rashid. Currently, I'm working as a Software Engineer at উপায় (upay). I've profound knowledge in Machine Learning, Deep Learning, Natural Language Processing, Fintech and Software Development.
Education & Research Interests I hold a B.Sc. in Computer Science and Engineering from Daffodil International University. I'm interested in doing research on Deep Learning & Computer Vision related problems.
Mission & Vision Dedicated to advancing Deep Learning, Computer Vision and building robust software systems. I bring a worldwide perspective to solving localized challenges through international research collaboration. As a former Co-Founder, I am committed to engineering excellence—advancing the AI landscape in Bangladesh and empowering the next generation of AI/ML enthusiasts through mentorship and the transformation of research into real-world solutions.
Interests
Machine/Deep Learning
Data Analysis
NLP
Computer Vision
Agriculture Imaging
Education
BSc in Computer Science and Engineering, 2019
Daffodil International University
Technical Skills
Python
Django
TensorFlow
PyTorch
NLP
Computer Vision
Scikit-learn
Flask
SQL
Work Experience
Software Engineer (Machine Learning)
- Built a microservice-based company name clearance search system using DRF, Whisper, PyTorch, Elasticsearch, and Word2Vec
- Improved search accuracy by combining NLP and speech models
- Containerized services using Docker and deployed to an Ubuntu server
- Built a data analysis report system using Flask, pandas, and matplotlib
Software Engineer
- Built and maintained face verification and recognition systems using CNN, Flask, and REST APIs for eKYC platforms
- Improved OCR and Transliteration microservices performance by 30%
- Re-engineered the NID verification workflow into a stateless architecture
- Led the migration to a distributed RPA architecture, reducing verification time by 40%
- Integrated with EC, CBS, AD, and Porichoy
- Contributed to eKYC deployments for BRAC, MTBL, Basic Bank, IFIC, TAP, bKash, FSIBL
Trainee
- Acquired foundational knowledge and practical skills in Machine Learning and NLP through a structured training program
- Developed proficiency in analyzing complex datasets from industrial and social media sources using advanced natural language processing techniques
Get In Touch
Got a project
worth building?
I'm always open to interesting work across AI/ML and software engineering — from computer vision to product engineering. Tell me what you're working on and I'll get back to you.