Now

At work

I'm currently leading a 6–7 person engineering team at AYE Finance across data, backend and AI initiatives. My day-to-day work spans technical planning, architecture, breaking initiatives into executable workstreams, coordinating dependencies, code reviews, stakeholder communication and production troubleshooting.

The engineering portfolio includes 8+ ETL/ELT pipelines processing 4B+ records, production APIs and services, an enterprise data platform, and GenAI/RAG systems built around AWS Bedrock. I stay close to implementation rather than treating delivery as something separate from the technical work.

What I'm building

Lending Management System. A full-stack lending platform covering Leads → Loan → Collection, with authentication and authorization, a multi-agent credit-decisioning workflow, report generation and a demo payments integration.

Vintage ML Compressor. A JUCE plugin combining C++ DSP, a hardware-inspired interface and an ML layer that recommends compressor parameters. See the project.

DataFlow. A small ETL framework that compiles YAML pipeline definitions into DuckDB or Spark jobs.

Studying

I'm pursuing an M.Sc. in Data Science & AI at BITS Pilani. Current study sits alongside work, with coursework spanning AI, machine learning, mathematics, statistics and related data science topics.

What I'm focusing on

Right now the focus is the full technical delivery loop: system design, engineering execution, data and AI architecture, production reliability and technical leadership — while staying hands-on enough to understand the systems being built.

For anything related to the site, projects or writing: [email protected].