Pravesh Kumar
Engineering Lead at Persistent Systems
Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolPravesh Kumar is an engineering lead based in Delhi with a strong background in cloud-native data engineering and over two years in lead roles building high-throughput pipelines and HA architectures. He has hands-on experience ingesting and processing massive datasets—designing a pipeline that consumes and stores roughly 500 TB of raw data weekly using Kafka and Python—and migrating streaming systems across AWS and Google Cloud. Pravesh has led Dataflow streaming ETL development, automated GCP infrastructure with Terraform and Cloud Build, and worked across pharmaceutical data sources like Veeva and Health Cloud into GBQ and Postgres. His earlier career delivering web solutions with .NET and JavaScript gives him full-stack pragmatism when translating business needs into production systems. Colleagues describe him as a delivery-focused technologist who combines operational rigor with practical cloud architecture skills.
2 years of coding experience
11 years of employment as a software developer
University of DelhiGNIIT, Computer Science, GNIIT, Computer Science at NIIT Institute
Github Skills (24)
langchain10
graph10
vectordb10
neo4j10
data-import10
graphdb10
unstructured-data10
knowledge-graph10
nlp10
genai10
pytorch9
python9
machine-learning9
natural-language-processing9
deep-learning9
Programming languages (2)
Github contributions (4)
destiny966113/llm-graph-builder
Aug 2024 - Aug 2024
Neo4j graph construction from unstructured data using LLMs
Contributions:1 push in 1 day
neo4j-labs/llm-graph-builder
Jan 2024 - Mar 2025
Neo4j graph construction from unstructured data using LLMs
Contributions:85 reviews, 132 PRs, 304 pushes in 1 year 2 months
data-importgenaigraphgraph-raggraph-search
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