Tejan Challa

Computer Science Grad'25 | Val Player

[Claude @claudeai]

New in the Claude Marketplace: @augmentcode, @boltdotnew, @coderabbitai, @hebbia, and @WeAreLegora.

Apply your existing Anthropic spend commitment toward their Claude-powered products.

Learn more: https://t.co/J3Sdsg2lU6

[Tejan Challa @Tejan_Ch]

Built my own private cloud with Docker 🐳
One YAML file deploys: → Nextcloud (Google Drive replacement) → Vaultwarden (password manager) → Jellyfin (media server) → Uptime Kuma (monitoring)
Zero subscriptions. Full control.
https://t.co/S6PWyLpqoZ

[Tejan Challa @Tejan_Ch]

Just shipped my CVD Risk Predictor, an ML-powered cardiovascular screening tool built from my MSc dissertation!
308K patient records Gradient Boosting + SMOTE (AUC: 0.827) Tiered treatment recommendations (T1–T5) React + FastAPI + deployed on Vercel.
https://t.co/JxhEKDFLVS

[Tejan Challa @Tejan_Ch]

Built an AI Resume Analyzer.
Upload CV + paste job description → get a match score, skill gap analysis, and specific fixes.
Built it because I needed it myself. Now it's live for everyone.
Python + Groq API. Link in bio.
#AI #BuildInPublic #OpenToWork

[Tejan Challa @Tejan_Ch]

If you're building in AI or hiring junior ML engineers — let's connect.

#AI #MachineLearning #Portfolio #DeepLearning #NLP #ComputerVision

[Tejan Challa @Tejan_Ch]

My portfolio site is live.

I built it to have one place where all my AI/ML work lives — projects, skills, and what I'm building next.

What's on there right now:

[Tejan Challa @Tejan_Ch]

→ Brain Image Classification — ensemble deep learning system for tumor detection from MRI scans
More projects coming. Currently finishing my MSc in Artificial Intelligence at the National College of Ireland.
Check it out: https://t.co/vRd6ykLBxd
GitHub: https://t.co/hc4yYZEsYU

[Tejan Challa @Tejan_Ch]

Built a RAG-powered research assistant using Cohere's API.

Upload docs → ask questions in plain English → get answers with citations.

Cohere Embed + ChromaDB + Command model. Full pipeline, deployed live.

Try it: https://t.co/voQ8vnEWfw
@cohere @coaborhere.

#AI #RAG #Cohere

[Tejan Challa @Tejan_Ch]

Built a neural network from scratch with just NumPy.

No PyTorch. No TensorFlow. Just math and code.

Forward pass → loss → backprop → gradient descent. All manual.
If you can't explain it from scratch, you don't really understand it.
Code: https://t.co/r9eQwh1mLD
#AI #ML #DL

[Tejan Challa @Tejan_Ch]

Live Vercel link
https://t.co/X7TBmFUvrs

[Tejan Challa @Tejan_Ch]

Built a multi-agent AI data analyst 🤖
Upload any CSV + ask a question in English → 4 agents collaborate:
Profiler analyzes quality
Cleaner fixes issues
Analyst writes & runs real pandas code
The reporter writes a summary
Github link: https://t.co/OKfT12eze7

[Tejan Challa @Tejan_Ch]

The Analyst agent doesn't guess — it writes actual Python code, executes it with pandas/matplotlib, and returns computed results + charts.
Ask "highest revenue product?" → it runs df.groupby().sum() → returns $97k for Laptops.
That's the difference between a wrapper and a tool.

[Anthropic @AnthropicAI]

New Anthropic research: Project Deal.

We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf.

[Tejan Challa @Tejan_Ch]

So happy to announce I just got into Rust School 📷 Cohort 01! Thanks to @_HerDAO, @Onallee and @Hari_priyoo for making this possible. Let’s build!

[Tejan Challa @Tejan_Ch]

@PRINCEK05672836 Thank you 😊

[Tejan Challa @Tejan_Ch]

Completed the AWS course: Fundamentals of Machine Learning & Artificial Intelligence.

Strengthened my understanding of core ML concepts, model types, and AI fundamentals.

Continuing to build deeper in this space 🚀

[Tejan Challa @Tejan_Ch]

Completed “Understanding ChatGPT” on DataCamp.

Learned how LLMs work, prompt design basics, and real-world use cases.

Exploring more in AI and generative models next.

[Tejan Challa @Tejan_Ch]

Completed AWS ML Engineer Associate Curriculum Overview.

Gained clarity on the ML engineer role, workflows, and AWS-based ML pipelines.

Moving closer toward hands-on implementation.