Open to opportunities

iftekhar joy

@iftekharjoy

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AI Research Intern and DevOps Engineer with a focus on automation.

Canada

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and cloud technologies.

I am a dedicated AI Research Intern and DevOps Engineer with a strong background in computer science and a passion for leveraging technology to drive innovation. Currently pursuing my Master of Science in Computer Science at Bishop’s University, I have honed my skills in AI algorithms and cloud infrastructure management through hands-on experience in various roles.

During my tenure at DocSplain, I enhanced healthcare AI algorithms, improving accuracy and enabling real-time transcription for thousands of users. My previous roles at UCB Fintech and NAGAD Fintech allowed me to mentor junior engineers, optimize CI/CD pipelines, and ensure high uptime for critical applications. I thrive in fast-paced environments and am committed to continuous learning and improvement.

Experience

Work history, roles, and key accomplishments

AI Research Intern

DocSplain

Oct 2023 - Present (1 year 10 months)

Enhanced healthcare AI algorithms, improving accuracy by 1% under the mentorship of Dr. Shirdastian, leading to better patient outcomes. Wrote a Python script to build a speech-to-text feature (OpenAI API), enabling real-time transcription for 10k+ users.

Python Flask Postman)

DevOps Engineer

UCB Fintech Limited

Nov 2021 - Present (3 years 9 months)

Mentored 3 junior engineers, increasing team productivity by 25% & reducing deployment failures by 18% via CI/CD automation. Managed 50+ microservices on RHEL Linux servers using Docker & Kubernetes, achieving 99.98% uptime.

CI CD Docker Kubernetes Jenkins Python YAML Linux Microservices

DevOps Engineer

NAGAD Fintech Limited

Nov 2019 - Present (5 years 9 months)

Ensured 99.9% uptime for 4 critical applications by monitoring systems, troubleshooting performance bottlenecks, and reducing production incidents by 30% through proactive optimizations. Led government stipend distribution (PESP) for more than 1M beneficiaries with 100% SLA compliance, achieving zero downtime during peak transaction periods.