Sandeep Singh
Sandeep

Sandeep Singh

Technical Lead · Backend und Full-Stack

Reden
Lernen

Was ich plane
zu lesen und zu bauen.

Ich lerne durch Bauen, nicht durch Lesen. Aber jeder Entwickler braucht eine Leseliste. Hier ist meine, ehrlich und in Arbeit.

Leseliste
Personal Growth
In Bearbeitung

Atomic Habits

James Clear

"Small systems compound into big results. Already applying habit-stacking and implementation intention frameworks to my engineering routine."

Personal Growth
Abgeschlossen

Man's Search for Meaning

Viktor Frankl

"Frankl's account of finding purpose in the worst conditions reframes how I think about motivation and meaning in work. Essential reading."

Personal Growth
Abgeschlossen

The Secret

Rhonda Byrne

"A foundational read on mindset and the law of attraction. Changed how I approach goals and the energy I bring to building things."

Backend
In Bearbeitung

Designing Data-Intensive Applications

Martin Kleppmann

"The definitive book on distributed systems, databases, and data pipelines. Working through chapters 1 and 7 at the moment."

AI/ML
Geplant

Designing Machine Learning Systems

Chip Huyen

"Production ML pipelines, data loops, and deployment. Directly relevant to building reliable RAG and LLM systems at scale."

Backend
Geplant

Architecture Patterns with Python

Harry Percival and Bob Gregory

"Domain-driven design, CQRS, and event-driven architecture in Python. Exactly what you need for building maintainable FastAPI systems."

Career
Geplant

Staff Engineer: Leadership Beyond the Management Track

Will Larson

"The natural next read for a Technical Lead thinking about the Staff+ trajectory. Covers archetypes, influence, and technical strategy."

Engineering
Geplant

The Pragmatic Programmer

David Thomas and Andrew Hunt

"Timeless principles on writing better software. DRY, orthogonality, and automation are as relevant today as ever."

Data
Geplant

Fundamentals of Data Engineering

Joe Reis and Matt Housley

"Covers the full data engineering lifecycle: ingestion, storage, transformation. Useful context for building robust AI data pipelines."

AI/ML
Geplant

Building LLM Powered Applications

Valentina Alto

"Practical coverage of RAG patterns, prompt engineering, and LLM application architecture. Directly maps to my current stack."

Kurse und Ressourcen

Ein öffentliches Logbuch dessen, was ich lerne und baue: Kurse, Videos und Ressourcen, die geprägt haben, wie ich baue.

ETA: Demnächst