$ whoami

Md. Injamul Haque

01745-449117
Looking for Master's/PhD opportunity in Computer Science, AI, or Data Science
85%
Latency Reduction
35%
Throughput Increase
60%
Cost Optimization
500+
Concurrent Sessions
$ cat summary.txt

Experienced AI/ML Engineer & Applied Researcher with a strong background in deep learning, computer vision, NLP, and backend development. Proficient in Python, TensorFlow, and PyTorch for developing high-performance, production-ready AI applications. Skilled in algorithmic problem-solving, designing robust APIs, managing cloud infrastructure, and deploying scalable solutions. Demonstrated success in building Agentic AI frameworks, optimizing model latency (≤85% reduction), and integrating robust CI/CD and observability pipelines for scalable deployment.

$ cat experience.log

AI Engineer

Interactive Cares, Dhaka, Bangladesh
Jul 2025 - Present
  • Collaborated on developing an asynchronous AI interview system supporting 500+ concurrent sessions with Redis caching and lazy resource management
  • Optimized Faster-Whisper STT and Google TTS pipelines with int8 quantization, reducing latency from ~2s to <200ms
  • Developed an AI agent within a 3-agent system (GPT-5 & GPT-4o-mini) for technical interviews, achieving ~60% cost optimization
  • Contributed to enterprise chatbot optimization by integrating Redis for chat history and thread pool executors for parallel processing

Machine Learning Engineer

DevTechGuru Limited ,Dhaka, Bangladesh
Feb 2024 - Jul 2025
  • Developed an AI-assisted Hip Surgery system integrating with hospital software, reducing pre-operative planning time by ~30%
  • Engineered an AI-based vehicle number plate detection system using YOLOv8, achieving 93% accuracy from CCTV feeds
  • Developed multiple backend features for a Django-based parking management system, reducing API calls by ~40%
  • Built a Django role-based access control system, reducing unauthorized access incidents by ~35%

ML Researcher

Health Informatics Research Lab, Daffodil International University
Dec 2022 - Dec 2023
  • Published Q1 journal paper on region-of-interest embedded Graph Neural Network architecture for gallbladder cancer detection, achieving 93%+ accuracy and ~90% precision in Results in Engineering (Elsevier)
  • Developed hybrid CNN-RNN architecture (NewsNet) for Bengali news categorization, achieving 94.57% accuracy and presented at IEEE conference
  • Designed explainable AI framework integrating XGBoost/LightGBM with SHAP for brain tumor MRI classification, achieving 98.53% accuracy with interpretable predictions
  • Engineered hybrid BERT-BiGRU model for low-resource Bengali transliteration sentence identification, advancing NLP research for regional languages
  • Conducted extensive research in medical imaging, natural language processing, and deep learning applications for healthcare diagnostics

$ ls -la projects/

VisionCraft Studio

AI-powered platform transforming natural language into production-ready HTML prototypes

Tech: FastAPI, MySQL, React, TypeScript, Gemini 2.5 Pro
⚡ 70% faster front-end development

AI Interview System

Multi-agent platform with GPT-5, GPT-4o-mini, supporting 500+ concurrent sessions

Tech: Python, Redis, Asyncio, Thread Pooling
⚡ 85% faster response, 60% cost optimization

Hip Surgery AI System

Real-time C-Arm medical image processing with instance segmentation

Tech: Python, Computer Vision, Django
⚡ 5× faster than manual assessment

AI Resume Matcher

ATS scoring engine analyzing bulk resumes with weighted evaluation

Tech: Python, NLP, ML
⚡ 70% reduction in screening time

AI Voice Sales Agent

FastAPI-based AI voice agent for online courses with real-time conversations

Tech: FastAPI, LangChain, HuggingFace, OpenAI Whisper
⚡ 50% improvement in lead engagement efficiency

Parking Management System

Semi-automated system with backend infrastructure for payment processing

Tech: Django, Redis, REST APIs
⚡ 40% improvement in system responsiveness

Interactive Care Chatbot

Enterprise chatbot system with Redis-based chat history and parallel processing

Tech: Python, Redis, Thread Pool Executors, CI/CD
⚡ 45% faster response, 35% throughput increase

Estate Link

Real estate platform with role-based access control and scalable backend APIs

Tech: Django, REST APIs, Role & Permission Management
⚡ Production-ready backend with best practices

$ cat skills.json

Languages

Python JavaScript C/C++ Java

AI/ML

TensorFlow PyTorch LangChain GPT/Claude/Gemini Computer Vision NLP CNNs RNNs GANs Transfer Learning Graph Neural Networks

Backend

FastAPI Django Flask REST API Asyncio

DevOps

Docker CI/CD AWS EC2 Azure ML Redis

Database

MySQL PostgreSQL MongoDB Redis Cache Vector DBs

Tools

GitHub NumPy Pandas ScikitLearn

Education

BSc. Computer Science and Engineering

Daffodil International University | Mar 2020 - Jun 2024

GPA: 3.74/4.00

$ git log --research

A region-of-interest embedded graph neural architecture for gallbladder cancer detection

Results in Engineering, 26 (2025) 104624 | Available online 14 Mar 2025
Md. Injamul Haque, S. Islam, Mushrat Jahan, Md. Zahid Hasan, Md. Awlad Hossen Rony, Kaniz Fatema, Taslima Ferdaus Shuva, Muhammad Ali Abdullah Almoyad, Abdullah Al-Mamun Bulbul, Md. Tanvir Rahman, Md Whaiduzzaman, Touhid Bhuiyan, Mohammad Ali Moni

NewsNet: A Comprehensive Neural Network Hybrid Model for Efficient Bangla News Categorization

Conference Paper | Jun 2024
Md. Injamul Haque, Shakil Rana, Naznin Sultana, Saiful Islam

Integrating Explainable AI and Machine Learning for Superior Brain Tumor MRI Classification

Research | Sep 2025
Md. Injamul Haque, Shakil Rana, Saiful Islam

An Efficient Framework for Transliteration Sentence Identification of Low Resource Languages Using Hybrid BERT-BiGRU

Conference Paper | Jun 2024
Md. Injamul Haque, Saiful Islam, Md Jabed Hosen, Fowzia Rahman Taznin, Shakil Rana

Impact of Lifestyle on Career: A Review

Chapter | Dec 2023
Md. Injamul Haque, Md Jabed Hosen, Saiful Islam, Ahmed Wasif Reza

$ ls -la certifications/

Machine Learning Specialization

Comprehensive specialization covering supervised learning, neural networks, and ML best practices

Platform: Coursera

Software Engineer Certificate

Validated expertise in software engineering principles and problem-solving

Platform: HackerRank

Problem Solving Basic

Fundamental algorithmic problem-solving and data structures proficiency

Platform: HackerRank

Intermediate Machine Learning

Advanced ML techniques including handling missing values, pipelines, and cross-validation

Platform: Kaggle

Computer Vision

Deep learning techniques for image processing and visual recognition

Platform: Kaggle

SQL for Data Science

Database querying and data manipulation for analytics and data science workflows

Platform: Coursera