Raushan Singh

Product Manager

Bengaluru, Karnataka, India5 yrs 5 mos experience

Key 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.
Stackforce AI infers this person is a Data Engineering and AI Infrastructure expert in SaaS.

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Skills

Core Skills

Data EngineeringEtlMachine Learning

Other Skills

DatabricksVisualizationClickhousePysparkData ModelingSQLDeep LearningPythonFlaskAzure Container AppsFastAPINext.jsSupabaseAndroid DevelopmentData Science

About

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

Experience

5 yrs 5 mos
Total Experience
1 yr 5 mos
Average Tenure
1 yr
Current Experience

Confluent

Technical Solution Engineer (AI)

Jun 2025Present · 1 yr

100ms

Data Engineer

Jan 2023Jun 2025 · 2 yrs 5 mos

  • Engineered an automated Billing ETL pipeline using Databricks, decreasing billing processing time by 90% and boosting accuracy by 30%, Used by over 20 team members.
  • Constructed a visualization ecosystem that slashed debugging time by 90%, accelerating issue resolution
  • Migrated the Rockset database system to Clickhouse, enhancing real-time performance and improving query
  • speeds by 75%.
DatabricksETLVisualizationClickhouseData Engineering

Zs

Data Engineer

Jan 2022Jan 2023 · 1 yr · Gurugram, Haryana, India

  • Developed an end-to-end ETL data pipeline using Pyspark
  • Extracted Data from Reltio to build MDM data model
  • Designing Data Models and architecture
  • Tools: - Pyspark, S3, HDFS, Kafka, EMR, Redshift, Athena,
  • Airflow, SQL, scripting, Excel, Glue.
PysparkETLData ModelingSQLData Engineering

Tata consultancy services

Data Engineer

Jan 2021Jan 2022 · 1 yr · Bangalore Urban, Karnataka, India

Vision insight ai

Machine Learning Engineer

Jan 2020Mar 2020 · 2 mos · Pune Area, India

  • Working on Entity Matching using DeepMatcher
  • Created Script for Custom Embedding of Retail Data.
  • Tools: Python, Deep Learning
Deep LearningPythonMachine Learning

Fortune tech

Internship

Jul 2019Dec 2019 · 5 mos · Pune

  • Created a Segmentation for Car Damage Detection.
  • Deployed the model using Flask, Heroku.
  • Improved accuracy of the model to 80% by using different architecture of CNN.
  • Tools: Python, VIA, detectron2, CNN
FlaskPythonMachine Learning

Education

Bharati Vidyapeeth

Bachelor of Technology - BTech — Engineering

Jan 2016Jan 2020

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