Praveen Radhakrishnan

Lead Data Engineer · AI Engineer

pavirad@gmail.com · linkedin.com/in/pavirad · github.com/0xtreme

Melbourne, Australia · Australian citizen · Contract or permanent

Lead data and AI engineer with a long background across banking, energy, retail, superannuation and government. Experienced in data platforms, cloud migrations and ETL/ELT on Azure, AWS and Databricks, with a recent focus on production Azure OpenAI and RAG systems, LLM evaluation and AI coding-agent review.

Selected AI work

  • Reviews full AI coding-agent transcripts and identifies invented APIs, partial fixes, weakened tests, regressions and changes outside task scope.
  • Produces detailed evaluation rationales used as preference data for reinforcement learning from human feedback.
  • Delivered a multimodal Azure OpenAI case note summarisation system from first design through production in government.
  • Set up LLM evaluation datasets and metrics for faithfulness, answer relevancy and contextual precision.

Experience

AI Engineer, Code Evaluation & ReviewAlignerr

May 2026 – Present

Code review and evaluation of AI coding agents for LLM training

  • Reviews peer evaluations and rates their quality.
  • Reads full agent transcripts across task understanding, planning, tool calls, file changes, tests and final diffs, flagging recurring failure patterns.
  • Writes detailed rationales for each judgement, used as RLHF preference data.
  • Applies shared rubrics and reviewer guidelines consistently across codebases and task types.

Senior Consultant, Data & AI ArchitectSISU Solutions

Dec 2024 – May 2026

AI platforms for government child welfare agencies

  • Designed and delivered a case note summarisation system using Azure OpenAI, Azure Functions, Cosmos DB and Azure AI Search.
  • Set up evaluation datasets and metrics for faithfulness, answer relevancy and contextual precision.
  • Built multimodal text, audio and image input backed by Azure Blob Storage, with monitoring for latency, token usage and content filter hits.
  • Designed a real-time call transcription pipeline using Azure Communication Services, SignalR and Event Grid, with vector embeddings for RAG and Neo4j network analysis.
  • Worked through government security reviews, legacy data constraints and compliance requirements.

Senior Consultant, Data EngineerMUFG Pension & Market Services

Nov 2023 – Jun 2024

Australia's largest superannuation administration platform

  • Tuned critical SQL Server stored procedures to shorten the batch window.
  • Built a data quality framework to catch anomalies before production and automated monthly transaction reconciliation.
  • Built Power BI pipelines for APRA reporting, moved key loads to incremental patterns and delivered database security remediation.

Senior Consultant, Data EngineerEnergyAustralia

Jul 2022 – Oct 2023

One of Australia's largest energy retailers

  • Migrated an on premises Oracle warehouse to AWS Redshift.
  • Built a Databricks Delta Lake using Bronze, Silver and Gold medallion architecture.
  • Replaced Oracle Data Integrator jobs with Python ETL and tuned Spark workloads with adaptive query execution.
  • Added S3 lifecycle policies and data quality monitoring with Great Expectations.

Senior Consultant, Data Designer & EngineerNational Australia Bank

Jun 2019 – Jul 2022

Big Four Australian bank

  • Designed end-to-end real-time reporting for call centre metrics and built an AWS data lake on S3, Glue and Athena.
  • Built JSON flattening logic, query optimisations and dimensional models for executive KPI dashboards.
  • Implemented change data capture for near-real-time warehouse updates and Open Banking data governance practices.

Enterprise data and ETLRepublic Services · Discount Tire · Fortune 500 clients, US

2005 – 2019
  • Built an enterprise operational data store, led a Denodo data virtualisation rollout, delivered master data management and real-time CDC with Informatica PowerExchange.
  • Migrated AS/400 data to SQL Server, led SAP data migration across retail stores and built real-time point-of-sale ETL.
  • Built Informatica, Oracle and SQL Server warehouse solutions and managed onsite and offshore data engineering teams.

Skills

Generative AI
Azure OpenAI, RAG, agentic AI (LangGraph, CrewAI), LangChain, LlamaIndex, Azure AI Search, vector databases, prompt engineering, Hugging Face
LLM evaluation
Evaluation frameworks and datasets, faithfulness, answer relevancy, contextual precision, pairwise preference evaluation, RLHF data, agentic coding review
Data engineering
Python, PySpark, SQL, Databricks, Spark, Delta Lake, Kafka, Airflow, ETL/ELT, data modelling, data quality, Great Expectations
Cloud
Azure (Data Factory, Databricks, Synapse, ADLS, Functions, Event Grid), AWS (Redshift, Glue, S3, EMR, Athena)
Platforms
Informatica, SSIS, Oracle Data Integrator, Denodo, SQL Server, Oracle, PostgreSQL, Cosmos DB, MongoDB, Neo4j
Development
Python, Pandas, FastAPI, JavaScript, React, Next.js, Bash, Git, CI/CD, Docker, Terraform, Supabase, Vercel

Education & certifications

2018
MS Computer Science, machine learning specialisation. Georgia Institute of Technology.
2005
BTech Information Technology. Mahatma Gandhi University, India.
Certified
Databricks Certified Data Engineer Associate (2024).