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Manognaaaaaa/README.md 
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Typing SVG 
$ cat tech_stack.conf
[languages]
primary   = Python, Java, C/C++
web       = JavaScript, HTML, CSS
data      = SQL (PostgreSQL)

[frameworks]
backend   = Flask, FastAPI, Node.js
frontend  = React

[ml_and_ai]
core      = Scikit-Learn, PyTorch, Pandas, NumPy, Matplotlib
llm       = Llama 3, LangChain, LangGraph
vector_db = Pinecone, ChromaDB
vision    = OpenCV
graphs    = NetworkX

[tools]
vcs       = Git
editor    = VS Code, Eclipse
$ ls -la projects/
drwxr-xr-x graph_traffic_risk_engine/ 
STACK       Python · NetworkX · Scikit-Learn
OBJECTIVE   Modelled 550+ road segments as a weighted graph
            to surface latent "Risk Personas" from traffic data
RESULT      0.915 F1-score on evening dry-weather scenarios
drwxr-xr-x rag_csv_intelligence_pipeline/ 
STACK       Llama 3 · LangChain · ChromaDB · Python
OBJECTIVE   Natural-language querying over raw CSV datasets
            with fully local data residency
RESULT      Sub-2s retrieval · zero cloud dependency
drwxr-xr-x nerf_3d_scene_synthesis/ 
STACK       PyTorch · OpenCV
OBJECTIVE   Generate photorealistic 3D scenes from sparse 2D images
METHOD      Custom ray marching + positional encoding

$ curl https://api.github.com/users/Manognaaaaaa/stats
manogna@dev:~$ █

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