Open to opportunities

Piyush Gupta

@piyushgupta3

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Trainee product delivery and ML engineer driving production support and applied machine learning solutions.

India

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What I'm looking for

I seek roles where I can combine product delivery and applied ML—working on production systems, model deployment, cross-functional collaboration, and impactful, user-focused solutions.

I am a trainee in product delivery and support with hands-on experience in production operations, ticket triage, and cross-team coordination to ensure timely SLA-driven resolutions.

I have built and trained ControlNet-based diffusion models and constructed dataset pipelines using Objaverse for 2D rendering and wireframe generation during a research internship at Samsung Prism.

I lead and contributed to ML projects including an IoT-based EEG seizure detection system (edge AI with Raspberry Pi) and a carbon-footprint estimation web app, achieving high accuracy and strong user engagement metrics.

I bring practical engineering skills in Python, PyTorch, TensorFlow, and full-stack tooling, a strong foundation in algorithms and software engineering, and experience volunteering in intercultural education and leadership roles.

Experience

Work history, roles, and key accomplishments

Current

Trainee - Product Delivery

Current

SEW.ai

Jan 2026 - Present (5 months)

Support product delivery and production operations by monitoring support queues, triaging client tickets (bug/CR/client-side), coordinating with technical, QA, and delivery teams to allocate developers, assist with unit testing and UAT sign-off, and manage incidents to meet SLA/ETA targets.

Incident Management SLA Management Unit Testing UAT Agile

Research Intern

Samsung Prism

Oct 2025 - Dec 2025 (2 months)

Developed ControlNet-based diffusion models for text-to-2D-image generation with wireframe/skeleton controls and built a training data pipeline using Objaverse for wireframe generation and 2D rendering.

Diffusion Models ControlNet Data Pipelines Objaverse Python PyTorch

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Engineering

2022 -

Grade: 7.66 CGPA

Pursuing a Bachelor of Engineering in Computer Engineering with specialization in Conversational AI, covering NLP, Generative AI, speech, and data science; current CGPA 7.66.