Praveen Radhakrishnan
AI Engineer · Data & AI Consultant
pavirad@gmail.com · linkedin.com/in/pavirad · github.com/0xtreme
Melbourne, Australia
AI engineer working on production GenAI, across retrieval, evaluation and guardrails. Twenty years of enterprise data platform work behind it, in banking, energy, superannuation and government. The retrieval layer is not somebody else's problem.
Selected AI work
- Built an evaluation framework measuring faithfulness, answer relevancy and contextual precision, with evaluation datasets for ongoing model monitoring.
- Designed the guardrail and observability layer for a production LLM system, covering content filtering, API latency and token usage.
- Took a multimodal Azure OpenAI system from first design to production inside a government agency.
- Twenty years building the data platforms underneath, from Databricks lakehouse and change data capture to warehouse migrations and ETL across regulated industries.
Experience
Frontier model evaluationAlignerr
Current- A/B prompt testing across frontier models, scoring reasoning and behaviour against detailed rubrics.
- Reviewing scored evaluations for correctness and consistency of application.
Senior Consultant, Data & AI ArchitectSISU Solutions
Dec 2024 – May 2026AI platforms for government child welfare agencies
- Architected a multimodal Azure OpenAI case note summarisation system end to end, design through production. Text, audio and image through blob storage.
- Implemented the evaluation framework measuring faithfulness, answer relevancy and contextual precision, with evaluation datasets and a metrics framework for model performance monitoring.
- Designed the monitoring and observability layer tracking API latency, token usage and content filtering hits.
- Architected a live call centre intelligence platform using streaming transcription on Azure Communication Services, with event driven processing via SignalR and Event Grid under 500ms, a vector embeddings pipeline for RAG and a Neo4j graph for network analysis.
- Embedded with the government engineering team, working within enterprise security constraints, legacy data infrastructure and compliance requirements.
Senior Consultant, Data EngineerMUFG Pension & Market Services
Nov 2023 – Jun 2024Australia's largest superannuation administration platform
- Cut a critical SQL Server batch from four hours to 45 minutes.
- Built a data quality framework catching anomalies before production, and automated reconciliation across 100M+ monthly transactions.
- Built Power BI pipelines for APRA regulatory reporting, and incremental loading patterns to cut transfer volumes.
Senior Consultant, Data EngineerEnergyAustralia
Jul 2022 – Oct 202310TB+ daily for 1.7M customers
- Built Databricks Delta Lake pipelines on a bronze/silver/gold medallion architecture in PySpark and Spark SQL.
- Tuned performance with adaptive query execution and partition strategy, and replaced a legacy Oracle Data Integrator estate with a Python ETL framework.
- Migrated an on premises Oracle warehouse to AWS Redshift.
Senior Consultant, Data Designer & EngineerNational Australia Bank
Jun 2019 – Jul 2022Big Four bank, billions in daily transactions
- Designed live ingestion of call centre events, and an AWS data lake on S3, Glue and Athena for unstructured analysis.
- Implemented change data capture for continuous warehouse updates, and dimensional models supporting 50+ executive KPIs.
- Established data governance practices for Open Banking compliance.
Enterprise data and ETLRepublic Services · Discount Tire · Fortune 500 clients, US
2005 – 2019- Built an enterprise operational data store integrating 25+ source systems, led a Denodo data virtualisation rollout, and developed 500+ Informatica mappings with continuous CDC via PowerExchange.
- Delivered master data management, a SAP migration across 900+ retail sites, and an AS/400 to SQL Server modernisation.
- Led data engineering teams of up to 30 across onshore and offshore.
Skills
- AI
- Azure OpenAI, RAG, evaluation and guardrails, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, FAISS), prompt engineering, Hugging Face
- Data
- Databricks, Delta Lake, PySpark, Spark SQL, Kafka, Airflow, Informatica, change data capture, dimensional modelling
- Cloud
- Azure (Data Factory, Synapse, ADLS, Functions), AWS (Redshift, Glue, S3, EMR)
- Languages & stores
- Python, SQL, PL/SQL, FastAPI, SQL Server, Oracle, PostgreSQL, Neo4j
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).