
Veronica Aluri
@veronicaaluri
I build production Generative AI, agentic workflows, and cloud ML solutions.
What I'm looking for
At Capital One, I build Generative AI prototypes for enterprise document understanding, summarization, and context-aware query resolution using Azure OpenAI, LangChain, RAG, Pinecone, and Weaviate.
I’ve delivered production ML, NLP, recommendation, and analytics solutions at Capgemini and Wipro, building scalable pipelines across GCP Vertex AI, AWS SageMaker, Azure ML, PySpark, Databricks, and SQL.
I turn AI proof points into production decisions by owning architecture, integrations, APIs, observability, guardrails, and stakeholder-ready value narratives.
Experience
Work history, roles, and key accomplishments
Develops generative AI prototypes and agentic workflows using Azure OpenAI and LangChain, building RAG pipelines and fine-tuning transformer models for enterprise document understanding and summarization.
Education
Degrees, certifications, and relevant coursework
Governors State University
Master of Science, Computer Science
2024 -
Pursuing a Master of Science in Computer Science, expected to complete in April 2026.
Annamacharya Institute of Technology and Sciences
Bachelor of Technology, Civil Engineering
2015 - 2019
Earned a Bachelor of Technology in Civil Engineering, completing the program in March 2019.
Tech stack
Software and tools used professionally
Dialogflow
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
PySpark
Databricks
OpenCV
Terraform
Azure DevOps
JavaScript
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
NLTK
Kafka
RabbitMQ
FastAPI
Gemini
Google Cloud Dataflow
Airflow
GuardRails
SQL
Amazon SageMaker
XGBoost
LangChain
Weaviate
Pinecone
Delta Lake
Agentic
Modal
Faiss
Rasa
Lambda Cloud
Availability
Location
Authorized to work in
Job categories
Skills
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