Md. Injamul Haque
Machine Learning Engineer at DevTechGuru
Passionate about building AI-driven applications and solving real-world problems with cutting-edge technology.
π¨βπ» Professional Summary
Experienced ML Engineer with a strong background in AI, computer vision, NLP, and backend development. Skilled in designing robust APIs, managing cloud infrastructure, and deploying scalable solutions.
π¬ Contact Information
βοΈ Email: injamulhaque9117@gmail.com
π± Phone: +8801745-449117
π GitHub: injamul3798
πΌ LinkedIn: injamul-haque
π Core Competencies
- Machine Learning & Deep Learning
- Computer Vision Large Language Model & NLP
- Backend Development
- Cloud Infrastructure
- API Design & Development
- Data Analysis & Visualization
π Languages
π§π© Bengali (Native)
π¬π§ English (Fluent)
Work Experience
Machine Learning Engineer
DevTechGuru Limited | Feb 2024 - Present- Developed Computer Vision based vehicle number plate detection (93% accuracy) with robust text extraction for automated entry; applied object detection and segmentation for edge-based real-time recognition.
- Contributed to the Hip Surgery Project by integrating the C-Arm machine with software to process image and video feeds using Python pipelines for real-time hip anatomy offset, leg length calculations, and surgical assistance.
- Leveraged TensorFlow, PyTorch, OpenAI Whisper, and Gemini API to enable speech/image automation and predictive analytics in smart systems.
- Designed and implemented secure JWT-authenticated backend APIs for login, session management, and dynamic RBAC, integrated with React and Redux.
- Built parking system modules for vehicle entry/exit tracking, POS-based payment reporting, and analytics for revenue, exemptions, and traffic census.
- Developed flexible permission management APIs for multi-role access control (Staff, Management, Owners, Tenants), ensuring modular and scalable architecture.
- Contributed to responsive frontend development using HTML, CSS, JavaScript, and React with seamless API integration for optimal UX.
Machine Learning Researcher
Health Informatics Research Lab | Dec 2022 - Dec 2023- Published Q1 journal papers on medical imaging & AI diagnostics.
- Applied YOLOv7/YOLOv8 and LightGBM for advanced research.
- Developed deep learning models for NLP & computer vision applications.
Skills
Programming Languages
Python 90%
JavaScript 75%
Java 80%
C/C++ 85%
SQL 85%
Machine Learning
TensorFlow/PyTorch 90%
Deep Learning and Computer Vision 85%
Large Language Model(LLM),LangChain,VectorDB80%
Data Analysis 85%
Tools & Frameworks
Django/Flask/FastAPI/langchain 90%
AWS/GCP 75%
Docker 80%
Git/CI-CD 85%
MySQL/PostgreSQL 85%
Web Development
HTML/CSS 80%
React/Redux 75%
Django,FlaskRESTful APIs 90%
Streamlit/Dash 85%
Education
BSc in Computer Science & Engineering
Mar 2020 - Jun 2024Daffodil International University
CGPA: 3.74 / 4.00
Relevant Coursework:
Highlighted Projects
Real-Time AI Web App: ThinkWithInjamul
AI-powered chatbot using LangChain & HuggingFace embeddings for context-aware responses from PDF sources.
Key Features:
- Real-time conversation
- Dynamic model switching via Groq API
- Prompt templating
- PDF document loader
Semi-Automated Parking Management System
AI-based vehicle number plate detection & POS integration for entry/exit reporting.
Key Features:
- Number plate recognition
- Automated billing
- Real-time reporting
- User management
The Smart ATS
A web application designed to evaluate resumes against job descriptions using AI.
Key Features:
- Resume comparison with job descriptions
- AI-based evaluation
- Detailed feedback on resume strengths and weaknesses
IPL Score Prediction
Machine learning-based IPL score prediction web app for enhanced cricket match forecasting.
Key Features:
- Accurate score predictions based on match data
- Machine learning-based analytics
- Real-time prediction updates during live matches
Hip Overlay Project
Real-time hip anatomy evaluation tool for surgeons with HDMI & C-ARM integration.
Key Features:
- Real-time anatomy evaluation
- HDMI integration
- Surgical assistance
- 3D visualization
Tool Fusion
Modular pipeline for integrating multiple AI and data-processing tools.
Key Features:
- Modular design
- Multiple tool integration
- Data processing pipeline
- Customizable workflow
Diabetes Prediction Web Application
Machine learning-based diabetes prediction system based on medical history and demographics.
Key Features:
- Predicts diabetes based on user inputs
- Utilizes medical history & demographic data
- Helps in early detection and prevention
Research & Publications
A Region-of-Interest Embedded Graph Neural Architecture for Gallbladder Cancer Detection
Journal Article, Q1, Mar 2025
Fullβtext: ResearchGate
An Efficient Framework for Transliteration Sentence Identification of Low Resource Languages Using Hybrid BERT-BiGRU
Conference Paper, ICCCNT 2024, Jun 2024
DOI: 10.1109/ICCCNT61001.2024.10725039
Authors: Saiful Islam, Md Jabed Hosen, Fowzia Rahman Taznin, Shakil Rana, et al.
Lab: Md. Injamul Haque's Lab
NewsNet: A Comprehensive Neural Network Hybrid Model for Efficient Bangla News Categorization
Conference Paper, ICCCNT 2024, Jun 2024
DOI: 10.1109/ICCCNT61001.2024.10725173
Authors: Shakil Rana, Md. Injamul Haque, Naznin Sultana, Saiful Islam, et al.
Lab: Md. Injamul Haque's Lab
Impact of Lifestyle on Career: A Review
Chapter in Lecture Notes in Networks and Systems (LNNS), Dec 2023
DOI: 10.1007/978-3-031-50158-6_38
Authors: Ahmed Wasif Reza, Md. Jabed Hosen, Md. Injamul Haque, Saiful Islam, et al.
Publisher: Springer Nature
Tools & Repositories
Tool Fusion
ToolFusion: All-in-one Streamlit toolkit for converting notebooks, images, PDFs & screen recording!..
DSA Resource
A collection of data structures and algorithms implementations using the Python programming language, along with my practice coding library..
Awards & Certificates
π Certifications
- Machine Learning Specialization (Coursera)
- Software Engineer Certificate (HackerRank)
- Problem Solving Basic (HackerRank)
- Intermediate ML & Computer Vision (Kaggle)
- SQL for Data Science (Coursera)
π Awards
- Hackathon Winner
Get In Touch
π¬ Contact Information
βοΈ Email: injamulhaque9117@gmail.com
π± Phone: +8801745-449117
π Location: Dhaka, Bangladesh