MRParchment Map

Expertise route · capability marks

What I can design, build, and explain in AI/ML.

Technical strengths shaped by first-principles implementation and production-style delivery.

I

Foundations

Machine Learning

Supervised workflows, optimization, metrics, diagnostics, error analysis, and model reasoning.
II

Math Core

From-Scratch Implementations

NumPy-first models, manual gradient checks, convergence behavior, and transparent algorithm design.
III

Neural Systems

Deep Learning + NLP

TensorFlow, Keras, TF-IDF, Word2Vec, LSTMs, classification systems, and text pipelines.
IV

Delivery

Project Engineering

Modular Python, APIs, dashboards, readable documentation, Git workflow, and deployable structure.
V

Research

Research Translation

Paper framing, prototype implementation, reproducibility, and technical communication.
VI

Collaboration

Open Source

GSSoC'26 selected contributor, merged PR work, issue-driven development, and review feedback loops.