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 – PresentCode 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 2026AI 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 2024Australia'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 2023One 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 2022Big 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).