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Injamul User

@injamuluser

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Skilled software engineer focusing on AI-driven systems, performance optimization, and scalable backends.

Bangladesh

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What I'm looking for

I seek roles where I can design and deploy production-grade AI systems, optimize performance at scale, collaborate cross-functionally, and continue research-informed innovation in ML and CV.

I am a software engineer and machine learning practitioner who builds scalable, maintainable AI-driven systems that deliver measurable business impact. I specialize in Python, Java, C/C++, backend API design, and performance optimization.

My recent work includes optimizing speech and TTS pipelines with int8 quantization to reduce latency to under 200ms, engineering an autonomous AI interview agent that achieved 60% cost savings, and scaling asynchronous systems to support 500+ concurrent sessions with dramatic response-time improvements.

I collaborate cross-functionally, publish research in medical imaging and NLP, and apply best practices in software architecture, testing, and code review to drive robust production deployments and continuous innovation.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Interactive Cares

Jul 2025 - Present (3 months)

Optimized STT/TTS pipelines and engineered a 3-agent AI interview system, reducing latency from ~2s to <200ms and achieving 60% cost savings while supporting 500+ concurrent sessions with 85% faster responses.

Python Redis AsyncIO API Design Performance Tuning GPT Optimization

Machine Learning Engineer

DevTechGuru Limited

Feb 2024 - Jul 2025 (1 year 5 months)

Developed backend and AI features for parking management and surgical-assist systems, delivering YOLOv8-based plate detection at 93% accuracy and real-time hip anatomy landmark detection for clinical use.

Python YOLOv8 Computer Vision Backend Development API Design CNN Integration SQL Software Architecture

Machine Learning Researcher

Health Informatics Research Lab

Dec 2022 - Dec 2023 (1 year)

Contributed to Q1 medical imaging AI papers and developed NLP and computer vision models using deep learning frameworks to advance diagnostic tools.

TensorFlow PyTorch Computer Vision NLP Deep Learning EC2 SQL LightGBM Research

Education

Degrees, certifications, and relevant coursework

Daffodil International University

Bachelor of Science, Computer Science and Engineering

2020 - 2024

Grade: 3.74/4

Activities and societies: Coursework: Object Oriented Programming, Databases, Discrete Mathematics, Data Structures and Algorithms, Operating Systems, Computer Networks, Machine Learning, Data Mining, Advanced Data Structures and Algorithms, Information Retrieval, Image Processing.

Completed a BSc in Computer Science and Engineering with coursework in algorithms, machine learning, databases, and computer vision and a final GPA of 3.74/4.