MACHINE LEARNING
ENGINEER

@ Apertre 3.0

• Project Admin for the project 'task' — https://github.com/anikchand461/task
• It is a CLI project written in Go for task management using terminal.

@ Numpy

• Finalized deprecations in linalg/fft modules (PR #29909) to enhance type safety for ML workflows.
• Improved library stability for scientific computing and generative models (e.g., GANs) through robust SVD/FFT implementations.

@ LocalStack

• Normalized documentation structure for the "Reproducible ML with Cloud Pods" tutorial by adding Introduction and Testing sections (PR #268).
• Enhanced developer onboarding by improving clarity and consistency in AWS emulation guides.

@ ISTE HIT Student Chapter

• Executed ML pipelines for student projects, boosting model accuracy and applying skills to real-world cases.
• Mentored at BitsNBytes 2025 (ISTE), guiding participants through technical challenges and advanced DSA problem-solving.

@ GirlScript Summer of Code

• Mentored contributors in Python and ML projects, providing expert code reviews and advanced debugging guidance.
• Led interactive sessions to instill best coding practices, enhance collaboration, and foster high-performing teamwork.

@ ICNSBT at Haldia

• Secured 1st place for innovative algorithmic solutions.
• Delivered optimized solutions under time constraints.