RESUME TECHNICAL CAPABILITIES SHOWCASE

Developer Playground

Exposing interactive simulations demonstrating integration of advanced AI/ML, Full Stack frameworks, Data Structures, SQL Sandboxes, and Git workflows powering OpenVeda.

GenAI / LLM & AI/ML Track

Demonstrating multi-agent systems, RAG indexes, NLP pipelines, and analytical classifiers.

AGENTIC AGENT WORKFLOWS

CrewAI & LangGraph Proposal Orchestrator

Simulates a cooperative team of agents. Select a mentoring organization, click run, and watch the agents retrieve playbook context via **LangChain RAG** and orchestrate a proposal outline through a **LangGraph** node flow.

Target Org:
No agent execution trace. Click "Orchestrate Agents" below...
NATURAL LANGUAGE PROCESSING

Hugging Face Transformers NLP Analyzer

Exposes how developers can integrate **Transformers** to run sentiment audits on code reviews or classify code structures. Paste code below to extract token mappings and metrics.

CLASSIFICATION & CLUSTERING

PyTorch & Scikit-learn Predictive Match Classifier

Tweak the sliders below to simulate input vectors feeding into a **PyTorch** Neural Network weight model or a **Scikit-learn** logistic classifier. The model calculates the student's probability of securing selection based on git activity and syllabus preparation.

Git Commits (Feature 1)25 commits
Pull Requests Merged (Feature 2)4 PRs
Data Structure / Systems Core Score (Feature 3)85% Score
CLASSIFICATION PROBABILITY
70%
Classification: Marginal