
Md Adnan Taufique
@mdadnantaufique
I build production computer vision and agentic AI systems across industries.
What I'm looking for
I've built and led production AI systems at Polyfins Technology, spanning model training, inference optimization, backend services, and deployment. My work includes clinical-grade eczema and psoriasis progression detection using full-body detection, segmentation, skin-area measurement, and automated BSA/EASI scoring.
At NITEX, I led a four-member AI team delivering multimodal computer vision and NLP services for fashion e-commerce. I built search, document extraction, data scraping, tagging, fashion attribute extraction, and segmentation systems across more than 40 e-commerce sites and Instagram accounts.
I'm currently building AI agent backends for vehicle search, deal scoring, market analysis, and comparisons at CruiseIQ, alongside receipt-scanning and image-based extraction for Loya. At Ekagra Health, I develop deep-learning models and EMR/EHR add-on applications, including wound assessment and secure patient document-management tools.
I also created dreamteam, an open-source multi-agent delivery harness with independent verification gates for build, audit, research, and QA. Across healthcare, automotive, real estate, and e-commerce, I focus on making ML systems reliable at scale with Python, PyTorch, ONNX, FastAPI, Docker, Kubernetes, and cloud platforms.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Ekagra Health
Jun 2025 - Present (1 year 3 months)
Build deep-learning models and add-on apps on top of EMR/EHR systems used by clinicians. Researched and trained a YOLO-based wound segmentation model for automated wound boundary detection and measurement.
Senior ML Engineer
Polyfins Technology Inc.
Oct 2018 - Present (7 years 11 months)
Led AI team developing eczema and psoriasis progression detector with full-body detection, segmentation, and automated BSA and EASI scoring. Deployed system using PyTorch, HuggingFace, and ONNXRuntime for clinical-grade inference within CPU constraints.
AI Engineer
NITEX
Dec 2022 - Aug 2024 (1 year 8 months)
Led 4-member AI team architecting and deploying production solutions in fashion e-commerce. Deployed and maintained multi-modal computer vision and NLP services using NVIDIA Triton, Docker, and Nginx.
Education
Degrees, certifications, and relevant coursework
Ahsanullah University of Science and Technology
Bachelor of Science, Computer Science and Engineering
2014 - 2018
Bachelor of Science in Computer Science and Engineering from Ahsanullah University of Science and Technology (2014-2018).
Availability
Location
Authorized to work in
Portfolio
github.com/adnantaufiqu/dreamteamSalary expectations
Job categories
Skills
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