Why TechX?
TechX guarantees you’ll gain verified, resume-ready work experience on a real product with senior mentorship so recruiters see evidence, not exercises.
Guaranteed work experience
We don't prep you for experience, we place you into it. We prioritize matching you to a paid role; when that's not available, we move you through a focused ramp and onto a mentor supervised company project. Either way, you finish with real work on a real product.
Built inside real companies
You’ll join a small pod embedded in a live codebase. A senior engineer sets scope, unblocks you, and reviews your work so you learn by shipping, not by watching. Expect a weekly cadence, clear priorities, and standards that mirror high performing teams.
Proof that wins interviews
Leave with artifact-backed evidence hiring managers can verify: links to your contributions, what you owned, and a concise summary of impact plus a mentor endorsement and interview ready talking points.
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.
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.
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
"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."
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.
Frequently asked questions
Still have questions? Email support@techx.dev and we’ll get back within 24 hours.