Achu Prasad

About Achu Prasad

I’m a senior full-stack software engineer with 5+ years of experience building and shipping real products; the kind teams rely on every day. I love turning messy, ambiguous problems into clean, scalable systems, and I’m happiest when I can take something from idea → architecture → production → iteration.Alongside software engineering, I have a strong Data Science background (MSc) and hands-on experience applying machine learning to real problems: forecasting, anomaly/fraud detection, and building data-driven services that support decision-making. I enjoy working at the intersection of product, data, and engineering: where good models meet good systems.What I care about most is building software that holds up under pressure: clear APIs, thoughtful architecture, strong performance, and reliability you don’t have to think about. I’m hands-on across the stack (TypeScript/React, Node.js, Python, Go, SQL/Postgres, Redis, Docker, cloud) and I enjoy going deep when the problem demands it, whether that’s improving latency, simplifying a complex codebase, or designing an extensible platform.I also care a lot about the people side of engineering. I like raising the bar through code reviews, mentoring, and creating a culture where quality and speed work together, not against each other. If you’re building platform software, automation, or data-driven products and you enjoy solving hard problems with curious people, I’d love to connect.

Experience

1. Software Engineer Data Scientist - Remote (India)

   Pio Software

   Sep 2024 — Present · London, GB

   Built and shipped production Atlassian Marketplace apps focused on enterprise workflows, integration, and admin experiences.Owned delivery of features end-to-end: requirements, technical design, implementation, testing, release, and support in production.Developed LLM-powered capabilities (prompt engineering + evaluation + guardrails) to improve response quality and user outcomes in real workflows.Designed an extensible integration framework with secure policies, auditability, and clean extension points for adding new external providers (Hexagonal / Ports & Adapters).Improved reliability and maintainability through clean architecture, better error handling, and performance optimisations (caching, pagination patterns, and resilient API flows).

Education

• University of Kerala

  Bachelor's degree, Mathematics

  2014 — 2017

• University of Greenwich

  Master's degree, Data Science

  2021 — 2022