Search Results for "career"
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Showing 84 open source projects for "career"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Career-Ops
AI-powered job search system built on Claude Code
Career Ops is an open-source platform designed to help individuals manage their job search process with a structured, operations-style approach that treats career development like a pipeline. It provides a system for organizing job applications, tracking progress across different stages, and maintaining visibility into opportunities, much like a lightweight CRM tailored for job seekers. -
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2026 New Grad Positions
A collection of full time roles in SWE, Quant, and PM for new grads
2026 New Grad Positions is a community-maintained repository that tracks full-time technology roles for new graduates. It focuses on software engineering, quantitative, product management, and related early-career positions. The repository helps students and recent graduates find opportunities without manually searching dozens of company career pages. Listings are organized for quick scanning and are updated collaboratively through community contributions. The project is closely tied to Simplify and Coder Quad, making it part of a broader job-search ecosystem for early-career tech candidates. ... -
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A to Z Resources for Students
Curated list of resources for developers
A to Z Resources for Students is a curated directory of learning materials, developer tools, programs, events, and career opportunities for students and early-career technologists. It helps users discover resources for learning programming languages, frameworks, AI, machine learning, cybersecurity, mobile development, and other technical fields. The collection also includes hackathons, competitions, internships, student programs, open-source opportunities, and networking communities. ... -
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Remote Jobs
A list of semi to fully remote-friendly companies (jobs) in tech
Remote Jobs is a community-curated, open source repository that lists companies around the world that support remote work. Each entry describes a company, whether it’s fully remote or partially remote, what regions they hire in, and links to their career pages. The repo serves as a living directory for job seekers looking for remote-friendly employers and for companies wishing to be listed. Contributions are encouraged via pull requests, with guidelines to keep information accurate and up to date. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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InterviewGuide
Repository that collects extensive computer science
InterviewGuide is a widely-starred open-source repository that collects extensive computer science learning notes, interview preparation materials, and job search strategies aimed especially at students and early-career developers. It was created by a developer who documented his own journey from campus to tech industry, including detailed learning pathways for languages like C/C++, Go, JavaScript, and frameworks like Vue, as well as topics such as operating systems, networks, databases, and Redis. The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews. -
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swyx's second brain
Public obsidian store of resources and lists and stuff
swyx's second brain is Shawn Wang's public second-brain repository and digital garden, maintained as a collection of raw Obsidian notes. It stores personal research, resource lists, project ideas, writing material, reviews, career notes, and recurring observations. The folders follow the PARA approach, separating projects, ongoing areas, reference resources, and archived material. It also consolidates several older public lists covering developer tools, podcasts, automation, email utilities, and other technical interests. The same material can be explored through GitHub or a published Obsidian site. ... -
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Best-websites-a-programmer-should-visit
Some useful websites for programmers
...Because it spans beginner to advanced topics, you can use it as an on-ramp when starting out and as a roadmap for deeper specialization later. It also surfaces non-code essentials like productivity, writing, and career guidance, acknowledging that strong developers need more than syntax. The simple Markdown format makes it easy to browse, mirror, or fork, and the open contribution model keeps the list evolving as the ecosystem changes. -
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zhangxuefeng-skill
Zhang Xuefeng's cognitive operating system
...Rather than functioning as a simple quote collection, it encodes structured heuristics, mental models, and decision logic derived from books, interviews, and real-life case analysis. The skill is designed to be used within AI coding agents such as Claude Code, where it can be invoked to provide guidance on topics like college major selection, career planning, and long-term life decisions. It emphasizes pragmatic, outcome-driven reasoning focused on employment prospects, income potential, and social constraints rather than abstract ideals. The architecture organizes knowledge into reproducible decision flows, enabling consistent outputs across different scenarios. It also demonstrates how human expertise can be translated into modular AI skills that can be reused and adapted. -
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Professional Programming
A collection of learning resources for curious software engineers
...It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice. Each resource is hand-picked by the maintainer, focusing on timeless, high-signal articles, talks, and books rather than trendy or shallow content. Because it has been maintained for many years, it also acts as a kind of “canon” of articles that many engineers reference throughout their careers. ... -
Earn up to 16% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
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HowToLiveBetter
Evidence-based living guidelines sorted by cost-effectiveness
HowToLiveBetter is an evidence-focused interactive life guide that organizes hundreds of practical recommendations by cost, expected benefit, and strength of evidence. It covers health, longevity, emergency response, personal finance, legal risks, unemployment, entrepreneurship, relationships, parenting, travel, and skill development. Each recommendation explains what resources it costs and what outcome it is intended to improve. Evidence ratings are tied to journal research and official... -
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AgentGuide
AI Agent Development Guide, LangGraph in Action, Advanced RAG
...It also includes practical projects, interview preparation materials, and curated research papers related to AI agents and LLM engineering. The project is designed not only for learning but also for career preparation, helping developers understand how to build portfolio projects and prepare for AI engineering roles. -
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Writing AI Conference Papers
Writing AI Conference Papers: A Handbook for Beginners
...The project provides structured guidance on how to transform research ideas into complete manuscripts, covering topics such as defining the core contribution, organizing the paper structure, and refining technical details. It emphasizes practical advice and common pitfalls, making it especially useful for students or early-career researchers who may struggle with academic writing conventions. The guide breaks down the process into manageable stages, from identifying novelty and contributions to drafting, revising, and preparing submissions for conferences. It also highlights the importance of clarity, storytelling, and proper framing of results to improve the chances of acceptance. -
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truffleHog
Searches through git repositories for high entropy strings and secrets
...With support for custom integrations and new integrations added all the time, you can secure your secrets across your entire environment. TruffleHog is developed by a team entirely comprised of career security experts. Security is our passion and primary concern, and all features are developed with best practices in mind. TruffleHog enables you to track and manage secrets within our intuitive management interface, including links to exactly where secrets have been found. TruffleHog runs quietly in the background, continuously scanning your environment for secrets. -
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Markdown-Resume-Template
Resume template designed to be edited in Markdown
...The template emphasizes clarity and impact—concise summaries, accomplishment-driven bullet points, and sections that highlight projects, experience, and skills. Because it’s plain text, you can track changes in Git, branch for different roles, and keep a full revision history of your career materials. The structure avoids flashy but unreadable designs, favoring a hierarchy and layout that ATS systems and human reviewers can parse quickly. You can fork the repo, make it your own, and export to HTML or PDF using standard tooling. It’s especially useful for developers who want a low-friction, repeatable way to maintain multiple resume variants while keeping formatting consistent. -
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. ... -
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Open Source Jobs
A list of Open Source projects offering jobs
...It is especially valuable for developers who want careers aligned with open collaboration, public codebases, and distributed engineering culture. Overall, open-source-jobs functions as a practical career discovery resource within the open source ecosystem. -
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Book1_Python-For-Beginners
The Iris Book: Addition, Subtraction, Multiplication, and Division
...It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support self-paced learning, making it suitable for students, career switchers, and hobbyists. Because the book is part of a larger data science pathway, it also prepares readers for later work in visualization and machine learning. Overall, it serves as an accessible on-ramp into Python within a broader analytical learning journey. -
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Computer Science courses video lectures
List of Computer Science courses with video lectures
...Because it’s updated and community maintained, the collection grows with new offerings and helps learners evaluate what courses are available before starting. For self-taught engineers, graduates, or career-changers, this repository acts as a roadmap: pick courses, follow them, mark completion, and build a depth of theoretical foundation. It’s especially useful when mapping out a learning path rather than relying on a single bootcamp or video series. -
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Academic Research Skills for Claude Code
Academic Research Skills for Claude Code
...It likely integrates examples, templates, and conceptual explanations to bridge the gap between theory and practical research execution. The repository emphasizes skill-building rather than automation, making it especially useful for students and early-career researchers. Its overall goal is to enhance research literacy and reproducibility in academic workflows. -
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AI Job Search
AI-powered job application framework built on Claude Code
AI Job Search is a Claude Code-based framework for managing job applications from profile setup to interview preparation. It helps users turn their CV, documents, and career background into a structured application profile. The workflow can search job portals, score roles by fit, rank openings, and generate tailored application materials. It also creates LaTeX-based CVs and cover letters, then runs a reviewer-style pass before presenting final outputs. Extra commands support interview prep, outcome tracking, skill-gap analysis, profile expansion, and custom job-board skills. ... -
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AI Engineer Headquarters
A collection of scientific methods, processes, algorithms
AI-Engineer-Headquarters is a comprehensive educational repository designed to help developers become advanced AI engineers through a structured learning path and practical system-building exercises. The project serves as a curated collection of resources, methodologies, and tools covering topics across the entire artificial intelligence development lifecycle. Rather than focusing only on theoretical knowledge, the repository emphasizes applied learning and encourages engineers to build real... -
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AIGC-Interview-Book
AIGC algorithm engineer interview secrets
...Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing, and machine learning theory. In addition to technical concepts, the repository also contains interview preparation materials such as practice questions, hiring insights, and career advice for AI engineers. The materials are organized so readers can study fundamental topics as well as advanced research areas that frequently appear in technical interviews. -
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DATA SCIENCE ROADMAP
Data Science Roadmap from A to Z
DATA SCIENCE ROADMAP is an educational repository designed to guide learners through the process of becoming proficient in data science and machine learning. The project presents a structured roadmap that outlines the knowledge and skills required for different stages of a data science career. Topics typically include programming with Python, statistics, mathematics, machine learning algorithms, data visualization, and big data technologies. The roadmap also includes links to courses, tutorials, and external resources that help learners study each topic in more depth. By organizing these subjects into a logical sequence, the repository helps beginners understand how different technical skills connect within the broader data science workflow. ... -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project... -
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Perfect Roadmap To Learn Data Science
Basic To Intermediate Python data science guide
Perfect Roadmap To Learn Data Science In 2025 is an extended, updated learning pathway curated for the modern data-science landscape — blending classical data-analysis, statistics, machine learning, deep learning, computer vision, NLP, as well as current deployment and MLOps practices to prepare learners for data-science careers in 2025. The roadmap is organized to guide learners systematically: starting with Python fundamentals and math/statistics, then progressing through classical...
