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Abhinav Bhatt

Data & AI @ ANZ

Bangalore Urban

2+ years of work experience

ANZ
Aug 20251 yr 2 mosPresent

Bengaluru, Karnataka, India

• Architected an automated RAG evaluation pipeline using a Medallion data architecture to transform raw queries, retrieved contexts, and LLM responses into structured evaluation datasets • Developed a composite RAG Quality Index (RQI) combining retrieval and generation signals to track system performance and guide prompt and retrieval optimization. • Built an enterprise-scale Windows patching automation workflow using GitHub Actions, automating patching across 4,000+ servers, reducing manual effort by ~90%, and delivering an estimated USD 1.2M in annual savings.
Junglee Games
Sep 20241 yrAug 2025

Bengaluru, Karnataka, India

• Built a near real-time game integrity pipeline using Spark Streaming and Kafka to detect multi-accounting and fraudulent gameplay patterns. • Engineered a Change Data Capture (CDC) framework to support MongoDB Atlas migration, ensuring zero data loss across 100+ tables and reliable downstream replication. • Contributed to Delta Lake migration, improving query performance by ~18% while enabling ACID transactions, time travel, and scalable upsert operations. • Implemented and optimized ETL. workflows using PySpark and SQL, collaborating with stakeholders to streamline ingestion and transformation pipelines • Designed a data lineage solution for 50+ ETL pipelines, improving traceability, transparency, and debugging efficiency.
CodingCrib
Jan 20245 mosMay 2024

Bengaluru, Karnataka, India

Google Developer Student Clubs
Jun 20236 mosNov 2023

Bengaluru, Karnataka, India

GitHub
@abhi542
Medium
@abhinavmbhatt
LeetCode
@abhinavmbhatt
YouTubeyoutube.com/@abhinavv.mp4

Abhinav’s AI Stack

antigravity
antigravity
claude code
claude code
gemini
gemini
github copilot
github copilot
langchain
langchain
langgraph
langgraph

Education

Bms institute of technology and management

Bachelor's degree, Computer and Information Sciences, General

Bms institute of technology and management

20214 yrs2025
kendriya vidyalaya

School, Physics, Chemistry, Maths, Computer Science, English

kendriya vidyalaya

200912 yrs2021

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Headline

Data & AI @ ANZ

About

Software Engineer focused on Data Engineering, AI, and Process Automation. At ANZ, I work across Data Engineering, Enterprise AI, and cloud platforms, building RAG evaluation frameworks, data migration pipelines, and large-scale automation using Python and AWS. Previously, I worked as a Data Engineer at Junglee Games, building scalable data systems using PySpark, Spark Streaming, Kafka, and SQL. I enjoy building scalable, reliable, and production-ready Data and AI systems. Outside of engineering, I'm an international chess player, content creator, and sports enthusiast.

Location

Bangalore Urban

AI stack

antigravity

claude code

gemini

github copilot

langchain

langgraph

Work experience

Software Engineer at ANZ, Aug 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Architected an automated RAG evaluation pipeline using a Medallion data architecture to transform raw queries, retrieved contexts, and LLM responses into structured evaluation datasets • Developed a composite RAG Quality Index (RQI) combining retrieval and generation signals to track system performance and guide prompt and retrieval optimization. • Built an enterprise-scale Windows patching automation workflow using GitHub Actions, automating patching across 4,000+ servers, reducing manual effort by ~90%, and delivering an estimated USD 1.2M in annual savings.

Data Engineer at Junglee Games, Sep 2024 - Aug 2025 · 1 yr, Bengaluru, Karnataka, India, • Built a near real-time game integrity pipeline using Spark Streaming and Kafka to detect multi-accounting and fraudulent gameplay patterns. • Engineered a Change Data Capture (CDC) framework to support MongoDB Atlas migration, ensuring zero data loss across 100+ tables and reliable downstream replication. • Contributed to Delta Lake migration, improving query performance by ~18% while enabling ACID transactions, time travel, and scalable upsert operations. • Implemented and optimized ETL. workflows using PySpark and SQL, collaborating with stakeholders to streamline ingestion and transformation pipelines • Designed a data lineage solution for 50+ ETL pipelines, improving traceability, transparency, and debugging efficiency.

Head of Content at CodingCrib, Jan 2024 - May 2024 · 5 mos, Bengaluru, Karnataka, India

Head of Design at Google Developer Student Clubs, Jun 2023 - Nov 2023 · 6 mos, Bengaluru, Karnataka, India

Education

Bachelor's degree, Computer and Information Sciences, General, Bms institute of technology and management

School, Physics, Chemistry, Maths, Computer Science, English, kendriya vidyalaya

Public links

github: https://github.com/abhi542

medium: https://medium.com/@abhinavmbhatt

youtube.com: https://youtube.com/@abhinavv.mp4

leetcode: https://leetcode.com/abhinavmbhatt