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abhishek09827/README.md
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πŸ‘‹ Hi, I'm Abhishek

Backend & Applied AI Engineer focused on building scalable, observable, production-ready systems.

I work at the intersection of:

  • Cloud-native backend engineering
  • Data platforms & distributed systems
  • LLM-powered applications (RAG, NL - SQL, agents)
  • Cost-aware and reliability-first architectures

I care about systems that survive production - not just demos.


πŸ’Ό Experience

🏒 Cloud Developer - Hewlett Packard Enterprise (HPE)

  • Designing and building cloud-native distributed backend services
  • Developing production systems using Node.js, Python, AWS
  • Built ingestion pipelines with PII masking, validation, transformation layers
  • Worked on CI/CD automation, observability, and production debugging
  • Exploring real-world GenAI integration inside enterprise workflows

🌍 Open Source Contributions

Actively contributing to core ecosystem tools:

  • Contributions to dbt-core (data transformation engine)
  • Contributions to LlamaIndex (LLM orchestration framework)

I enjoy working with maintainers, understanding architecture tradeoffs, and improving core systems.


πŸ”­ What I’m Currently Focused On

  • Production-ready RAG architectures
  • Retrieval evaluation & cost optimization
  • NL - SQL systems with validation layers
  • Observability-first backend design
  • Data pipelines using Airflow + dbt + Kafka
  • AI-assisted developer tooling

🧠 Engineering Philosophy

  • Build systems, not scripts
  • Design for retries, failure, and scale
  • Observability is not optional
  • AI should reduce operational complexity
  • Measure latency, cost, and reliability

πŸ›  Tech Stack

πŸš€ Backend, Cloud & Databases

  • Node.js, Express.js
  • Python (FastAPI, Flask)
  • REST APIs, Microservices, Webhooks
  • AWS (Lambda, S3, EC2, API Gateway)
  • Docker & Serverless Architectures
  • PostgreSQL, MongoDB, Redis, Supabase

πŸ”„ Data Engineering & Applied AI

  • Apache Airflow, Kafka
  • dbt (Postgres) - ELT pipelines
  • Retrieval-Augmented Generation (RAG)
  • LangChain, LlamaIndex
  • Natural Language - SQL systems
  • LLM-backed APIs & model serving

🧰 DevOps & Developer Productivity

  • Linux, Shell scripting
  • CI/CD with GitHub Actions
  • Git & GitHub workflows
  • Production debugging & monitoring
  • System design (Excalidraw)
  • Jira, Confluence

πŸ“Š GitHub Overview


🧠 Problem Solving

I practice data structures & algorithms to strengthen system design fundamentals.


πŸ“ž Let’s Connect

πŸ“© Email: abhishekk09827@gmail.com
πŸ’Ό LinkedIn: https://www.linkedin.com/in/abhishek-kaushik-0a6a16243/
🧠 LeetCode: https://leetcode.com/abhishekk09827/
🌐 GitHub: https://github.com/abhishek09827

πŸ’¬ Open to remote opportunities in Backend, Data Platforms & Applied AI.


⭐ If you find my work interesting, feel free to explore and connect.

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