Open to opportunities

Hi, I'm Siam.
I build AI and web applications.

Ex-Grab, Ex-AskTuring AI
Founder of K22B, a fast-shipping web-dev garage
RAG, API endpoints, observability → jack of many trades
MNC-grade engineering rigour, early-stage startup velocity
Likes eating biriyani and reading books

Python · Go · LangChain · LGTM · Dramatiq · Kubernetes · Azure · AWS

01 Experience

  1. Feb 2025 – May 2026

    Full Stack Engineer · AskTuring.ai

    California, United States (remote)

    • Led a cross-functional epic that enhanced email ingestion and retrieval in a production RAG architecture.
    • Redesigned the file upload and ingestion pipeline, raising reliability from 70% to 99.95%+ with Dramatiq-based distributed workflows, retries, and reconciler workers.
    • Implemented end-to-end observability with the LGTM stack (Loki, Grafana, Tempo, Mimir) for real-time monitoring and faster incident response.
    • Python
    • Azure
    • Docker
    • Dramatiq
    • LangChain
    • CrewAI
    • LGTM
  2. Aug 2024 – Feb 2025

    Full Stack Engineer, Internship · Grab (MyTeksi Sdn Bhd)

    Kuala Lumpur, Malaysia

    • Fixed a critical MLflow access control bug, eliminating daily manual password resets for 150+ data scientists and engineers.
    • Built MLOps tools with the AI Infrastructure team, supporting 100+ data scientists across Grab.
    • Deployed OIDC-based authentication with LDAP group access for MLflow, streamlining experiment tracking and service integration.
    • Developed a central API gateway and feature-serving endpoints for refreshed data in ML pipelines.
    • Go
    • Python
    • Kubernetes
    • AWS
    • MLflow
    • OIDC

02 GitHub Activity

View profile →

1,113 contributions in the last year

MayJunJulAugSepOctNovDecJanFebMarAprMay
Mon
Wed
Fri
Less
More

03 Featured projects

All projects →

04 Writing

All posts →

First post coming soon. Working on it.

05 Get in touch

I'm open to AI infrastructure, backend, and full-stack roles. If you're hiring, building something interesting, or just want to compare notes on RAG reliability, I'd love to talk.

Book a 15-min intro call or send an email. Both reach me.