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kavya2693/README.md

MATCH (me) RETURN who

CREATE (me:Engineer:Leader {
  name:      "Kavyasri Jadala",
  role:      "Senior Manager — AI/ML & Data Products",
  based_in:  "Dubai, UAE  ·  Golden Visa",
  focus:     ["Knowledge Graphs", "Graph-RAG", "GenAI", "MLOps"],
  domains:   ["Healthcare/Pharma", "Energy", "E-commerce", "Supply Chain"],
  education: "M.S. Data Science, Purdue University"
})
MATCH (me)-[:BUILDS]->(system:MLSystem)
WHERE system.verified = true          // the part everyone skips
RETURN me.mission;

// ▸ "Build machine-learning systems you can actually trust in production."

cat /skills

Knowledge Graphs & Semantics

Neo4j AWS Neptune RDF OWL SHACL SPARQL Cypher GraphQL

LLM · RAG · GenAI

LangChain LlamaIndex Graph--RAG Pinecone FAISS Hugging Face OpenAI

Machine Learning

Python PyTorch TensorFlow scikit-learn XGBoost LightGBM

Data Engineering & MLOps

dbt Airflow MLflow Docker Kubernetes SQL

Cloud & BI

AWS GCP Azure SageMaker Power BI Tableau


ls -la ~/pinned

Project What it does
ontoloop Agent loop that turns drug-safety narratives into a knowledge graph and repairs it until a SHACL validator passes — the verifier never calls a model.
blastradius Column-level lineage that doesn't stop at the warehouse edge: statically finds the application code a column change will break.
landcover-spatial-cv Satellite land-cover classification with spatial cross-validation that blocks leakage — an honest 95.8%, not an inflated one.
gulf-shield-osint Arabic-native OSINT + desert-optimised SAR change detection for Gulf security — Western tools don't speak Arabic or work in deserts.
youtube-summarizer Video-intelligence app: transcript-first summarisation with a map-reduce path so long talks aren't truncated.

MATCH (n:Graph) RETURN n · full showcase →

Knowledge graphs are where I do my sharpest work — modeling, validating, and querying enterprise data as a graph.

Graph system
ontoloop Safety-report knowledge graph repaired until a SHACL validator passes — the verifier never calls a model.
blastradius SQL and Python fused into one dependency graph, so column-impact becomes a reachability query.
cryptographic-risk KG 6,400-node crypto-posture graph — SHACL, risk scoring vs NIST/FIPS/PCI, graph ML, and NL→Cypher. (prototype)
cex-knowledge-graph · mincalvina Production-shaped commercial KGs — AWS Neptune, LinkML/RDF ontologies, GraphQL, entity resolution. (private)

RDF · OWL · SHACL · LinkML · SPARQL · Cypher · Neo4j · AWS Neptune · Graph-RAG


./stats.sh


cat /certs

Neo4j Certified AWS SA AWS CP CAP Power BI


tail -f /connect



"The trustworthy part of a model is the part everyone skips. I build that part."

Pinned Loading

  1. GCP_Crudeoilprice_prediction GCP_Crudeoilprice_prediction Public

    Jupyter Notebook

  2. RAG RAG Public

    Local RAG chatbot for knowledge mining over your PDFs — ChromaDB vector store with on-device Llama 2 / Zephyr-7B, so nothing leaves the machine.

    Python

  3. KnowledgeGraph KnowledgeGraph Public

    Modeling customer-journey and marketing data as a knowledge graph — nodes, edges, and the queries that replace endless table joins.

  4. landcover-spatial-cv landcover-spatial-cv Public

    Python

  5. gulf-shield-osint gulf-shield-osint Public

    Python

  6. RG-Forecasting RG-Forecasting Public

    sales forecasting

    Python