Loading...

Why TechX?

TechX helps you earn verified, resume-ready experience in a mentor-supervised pod. You’ll ship features in a real repo, under senior review, and graduate with artifacts and a reference recruiters can trust.

01

Real projects, real mentorship

You join a small, mentor-led pod inside a live codebase. A senior engineer scopes tickets, reviews your PRs, and unblocks you, so you learn by shipping, not watching.

02

Evidence recruiters can verify

Leave with artifact-backed proof: merged PRs (or ready branches), what you owned, test coverage, screenshots, and a concise impact summary, plus a named mentor reference.

03

A pathway to paid roles

We prioritize paid matches first. When a paid seat isn’t available, an unpaid educational fellowship lets you gain experience now. Strong fellows are referred into paid internships, fellowships, or part-time roles.

Mentor-reviewed PRs • Real codebase & tickets • Portfolio artifacts • Named mentor reference • 15–20 hrs/week • Start in days

Note: Fellowships are educational and not employment; compensation may not be provided. Job offers are not guaranteed. Many fellows transition to paid opportunities based on performance and fit.

Build where companies hire

Mentor-supervised pods inside real codebases. Ship meaningful tickets and leave with links hiring managers can click.

Backend & Distributed Systems

Build production services and APIs that actually move a roadmap: multi-tenant backends, queues and workers, resilience patterns, and observability under a senior mentor’s review on every PR.

Key Outcomes

  • Build and improve simple, reliable APIs that real users rely on.
  • Make apps feel faster and more stable with sensible fixes and clean code.
  • Add basic monitoring so you can catch issues early and explain the impact.
  • Work with tickets/branches, collaborate in PRs, and communicate trade-offs.
  • Leave with GitHub links to your work and a short, clear write-up of what changed and why.
Loading...
Loading...

AI Systems & LLM Engineering

Build AI features teams actually use: retrieval, assistants with tools, guardrails, and evaluations measured by latency, cost, and quality, not vibes. Every PR is mentor-reviewed for safety and reliability.

Key Outcomes (what you’ll learn & show)

  • Design AI features that clearly improve a user task (search, Q&A, summarizing).
  • Write simple prompts and checks that make outputs more reliable and safe.
  • Measure what matters: quality, speed, and cost, so you can show improvement.
  • Explain your approach in plain English and get feedback from a senior mentor.
  • Leave with a short “before vs. after” example set and links to your work.

Data Science

Go from raw data to decisions: pipelines, modeling, and dashboards that product and GTM teams rely on. You’ll build where it counts owning the analysis and the last mile to adoption.

Key Outcomes

  • Ask a focused question and explore the data to answer it.
  • Build a simple, trustworthy model or analysis and explain it clearly.
  • Create a lightweight dashboard or report that teammates can read at a glance.
  • Tell the story: what changed, why it matters, and the next step you recommend.
  • Leave with a shareable notebook/report link and a one-page summary.
Loading...

Past Projects

LLM Conversation Scraper

Distributed Systems

Engineered scraping pipelines for ChatGPT, Claude, Gemini, Copilot, and DeepSeek. Unified styling, extracted chat histories, and proposed a general parsing framework to support multiple models reliably.

What Students Say

Jiajun Li testimonial background
"TechX gave me invaluable hands-on experience in full-stack development. I left the program more confident in my skills and better prepared for the challenges of real-world engineering. The mentorship pushed me to keep learning and adapting quickly to new technologies."
Jiajun Li
Jiajun Li
Computer Science Student at Columbia University

Guaranteed Internship Placement

Real Products. Real Users. Mentor-Backed.

Join a mentor-supervised pod building live features for real companies, leave with merged PR links, a mentor reference, demo recordings, and resume bullets that get interviews.

Placement guaranteed • Merged PRs • Senior review < 24h • Weekly demos • Reference on completion
Not ready to apply?

Join a live info session

Ask questions, meet instructors, and learn which track is right for you

Loading calendar…

All sessions are recorded. Can't make it? Request a recording

Not ready to tackle real-world problems yet? Start with TechX Academy.

Build the confidence and skills to solve real problems with real teams. TechX Academy combines Bootcamp and Externship programs designed to help you learn professional workflows, then transition into a mentor-supervised Internship with a partner company.

Mentor-guided trainingGit/GitHub & real workflowsWeekly demos & feedbackPortfolio projects that prove skill

Every path leads to experience you can show, and the internship that turns it into opportunity.

Join our newsletter

By subscribing, you'll be the first to know about the latest news and updates.

Frequently asked questions

Still have questions? Email and we'll get back within 24 hours.support@techx.dev

What is TechX in one sentence?
TechX is a mentor-led, unpaid educational fellowship where you ship real features in a real codebase and graduate with verifiable work experience and a named mentor reference.
Is this unpaid?
Yes. This is an educational, mentor-supervised experience (not employment). The goal is career acceleration: you gain credible, resume-ready experience by contributing to real projects under senior review.
Do I have to pay anything?
No. TechX internships and fellowships are completely free for students. All mentorship and program costs are covered by partner companies that sponsor senior engineers to guide each project. Your only investment is your time, effort, and commitment to completing the program.
Why should I do an unpaid internship?
Because experience is the most valuable currency early in your career. A TechX fellowship gives you real project experience, senior mentorship, and verifiable results you can show to recruiters, even before your first paid role. Many fellows later transition to paid opportunities or full-time offers with partner companies once they’ve proven themselves through this experience.
Who mentors me?
A senior engineer (often with Big Tech or high-growth startup background) who sets architecture, breaks down tickets, reviews every PR, and provides growth feedback and a reference at the end.
Does this help me get hired?
Many fellows use their work experience and references to land interviews. While offers are never guaranteed, teams value verifiable contributions. Sometimes the host company invites a fellow to continue or convert full-time based on fit and performance.
What’s the weekly time commitment?
Typically 15–20 hours/week across 8–10 weeks (varies by cohort). Expect weekly demos, PR review targets (<24h), and steady progress with mentor guidance.
Who is eligible?
Students, recent grads, and early-career engineers who can commit the time and are comfortable with one language/framework, Git/GitHub, and basic debugging. A short screen or portfolio review helps us place you in the right pod.

Join a Free Community of Aspiring Engineers

Connect with peers, share experiences, and get real-time support from industry professionals and fellow learners.

Icon
TechX