Chinmay Bansal

AI Researcher

Delhi, India1 yr 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Specialized in Deep Learning and Computer Vision.
Designed and deployed real-time CV pipelines.
Active contributor to open-source AI projects.

Stackforce AI infers this person is a skilled candidate in AI/ML and software engineering with a focus on mobile architectures.

Contact

Skills

Core Skills

Machine LearningAndroid Development

Other Skills

FlaskFlutterGitHub workflowsVercelGenerative AIPythonNumPyPandasMatplotlibScikit-learnPython (Programming Language)Artificial Intelligence (AI)Deep LearningComputer VisionFirebase

About

B.Tech CS (AI/ML) undergrad specializing in Deep Learning, Computer Vision, and scalable AI-integrated mobile architectures. Experienced in designing neural networks and deploying real-time CV pipelines using PyTorch, TensorFlow, OpenCV, and YOLO. My expertise bridges medical imaging research with end-user deployment, leveraging Flutter, FastAPI, and on-device ML optimization via TensorFlow Lite. I actively document my engineering methodologies on Hashnode and maintain a GitHub portfolio dedicated to production-grade architectures, including custom AutoML platforms. Currently seeking AI/ML or software engineering internships to build advanced intelligence systems.

Experience

1 yr 8 mos

Total Experience

11 mos

Average Tenure

1 yr 8 mos

Current Experience

Open source connect

Contributor

Feb 2026 – Present · 3 mos · Remote

Mrac

2 roles

Secretary

Promoted

Nov 2025 – Present · 6 mos

Key Responsibilities
Planned and executed technical workshops and hands-on training sessions
Led end-to-end event execution including curriculum planning and session delivery
Managed technical documentation, repositories, and post-event resources
Coordinated between leadership, speakers, and participants for smooth execution
Major Achievements
Co-led a 2-day End-to-End Application Architecture workshop
Guided participants through full-stack development using Flask and Flutter
Enabled cloud deployment using GitHub workflows and Vercel
Helped shift workshops from theory-focused to project-driven learning

Android DevelopmentMachine Learning

Core Member

Sep 2024 – Nov 2025 · 1 yr 2 mos

Android DevelopmentMachine Learning

Ybi foundation

Summer Intern

Jun 2025 – Jun 2025 · 0 mo · Remote

Summer Intern – AI & Generative AI
Worked with Python, NumPy, Pandas, Matplotlib, and Scikit-learn
Implemented ML models for classification and regression
Gained hands-on exposure to data preprocessing, model evaluation, and GenAI concepts

Machine LearningGenerative AI