Shubham N J
@shubhamnj
Machine learning researcher and software engineer specializing in AI-driven solutions.
What I'm looking for
I am a machine learning researcher and software engineer with hands-on experience building AI systems, computer-vision pipelines, and scalable backend services across academic and industry settings. I have led projects ranging from medical imaging research and multimodal emotion recognition to production features like tax-compliant e-invoicing, RAG chatbots, and performance-critical reconciliation tools.
My work emphasizes practical impact: I collaborated with clinicians to define labeling for a non‑invasive dysphagia diagnostic, cut IPO processing from days to minutes with an automated reconciliation tool, and integrated multi‑tenant enterprise systems across global teams. I blend strong engineering (C#, Python, NodeJS) and ML skills (TensorFlow, PyTorch, CV, LLMs) with product-focused delivery and cross-disciplinary collaboration.
Experience
Work history, roles, and key accomplishments
Machine Learning Researcher
Osnabrück University
Sep 2024 - Sep 2025 (1 year)
Worked on a BMBF-funded pilot to develop a cost-effective, non-invasive alternative to fMRI for detecting neurological disorders via dysphagia analysis; designed classical CV bolus tracker and rule-based classifier and experimented with segmentation models (UNet, MedSam2).
Associate Software Engineer
Abylle Solutions
Feb 2023 - Sep 2024 (1 year 7 months)
Developed a design and costing tool integrating 15+ products and SolidWorks, migrated legacy Python code, and built multi-tenant, ZATCA-compliant e-invoicing and invoice signing/validation modules for Saudi Arabia clients.
Software Engineering Intern
Abylle Solutions
Jun 2021 - Jan 2023 (1 year 7 months)
Built a reconciliation tool that reduced IPO data processing from 15 days to 10 minutes, developed a financial wellness mobile app, and created services bridging modern e-invoicing with AS400 legacy systems.
Education
Degrees, certifications, and relevant coursework
Osnabrück University
Master of Science, Cognitive Science (Artificial Intelligence)
2024 -
Grade: 1.5 (German system)
Pursuing Master of Science in Cognitive Science with a major in Artificial Intelligence; GPA/grade reported as 1.5 in the German grading system.
Bangalore University
Bachelor of Technology, Computer Science and Engineering
2019 - 2023
Grade: 9.28/10
Completed Bachelor of Technology in Computer Science and Engineering with a final grade of 9.28/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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