Raushan Singh — Product Manager
I build systems where real-time data meets AI — streaming pipelines, RAG systems, and cloud infrastructure that works in production. 5 years of data engineering across startups and enterprises: → Real-time pipelines processing 30M+ events/day with sub-100ms latency → RAG systems and LLM pipelines with LangChain, LangGraph, AWS Bedrock, Pinecone → Production database migrations with zero downtime → ETL pipelines on Databricks, Airflow, PySpark → Multi-agent systems with memory and tool use → Cloud infrastructure on AWS and GCP Core stack: Kafka · Flink · Python · PySpark · Databricks · Airflow · LangChain · LangGraph · AWS · GCP · Terraform · Docker · ClickHouse · Pinecone · Chroma Recently built side live AI agent platform on Azure in 4 weeks — full auth, container orchestration, BYOK architecture. raushanai.dev
Stackforce AI infers this person is a Data Engineering and AI Infrastructure expert in SaaS.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs 5 mos
Skills
- Data Engineering
- Etl
- Machine Learning
Career Highlights
- Built real-time data pipelines processing 30M+ events/day.
- Developed RAG systems and LLM pipelines using advanced tools.
- Successfully migrated databases with zero downtime.
Work Experience
Confluent
Technical Solution Engineer (AI) (1 yr)
100ms
Data Engineer (2 yrs 5 mos)
ZS
Data Engineer (1 yr)
Tata Consultancy Services
Data Engineer (1 yr)
Vision Insight AI
Machine Learning Engineer (2 mos)
Fortune Tech
Internship (5 mos)
Education
Bachelor of Technology - BTech at Bharati Vidyapeeth