Software Engineer · MoEngage

I build systems
at scale.

Backend engineer by trade, systems thinker by habit. I've designed APIs handling a thousand requests a second, shipped a Python SDK with thousands of downloads and built AI agents that review code like a senior engineer would.

See my work Get in touch →
2.5B+
push notifications / day
250M+
emails / day
20M+
whatsapp notifications / day
1,300+
enterprise clients
Selected work
01
Template Management System
MoEngage · 2023–2025
Python MongoDB Redis Async Processing(Celery)

MoEngage needed a unified way to manage messaging templates across 6 channels — Push, Email, SMS, In-App, On-Site, and WhatsApp. No central system existed. I built one from scratch.

The system handles folder organisation, REST APIs, rate-limiting, Redis caching, and DB optimisations. It sits in the critical path of all outbound & inbound messaging.

1,000+
req/sec peak load
1,300+
enterprise clients
60,000+
templates supported / client
02
Dynamic Content Builder
MoEngage · 2024
Python Jinja2 Personalisation

Marketers were writing raw Jinja syntax to personalise campaigns. Error rates were high, campaigns were breaking, and non-technical teams were blocked entirely.

I built a visual content builder that abstracts all template logic into a drag-and-drop UI — generating correct Jinja under the hood automatically.

100%
Jinja syntax errors eliminated across all channels
30%
marketer productivity uplift across the board
03
Campaign Audience Limit
MoEngage · 2024
Python Celery MongoDB

Enterprise clients were sending campaigns to their entire audience — millions of users — when the goal was a controlled rollout. No cap mechanism existed.

I designed dynamic audience capping enforced at the campaign level, before any message is dispatched.

Billions
of wasted messages prevented monthly
1,300+
enterprise clients protected from overdelivery
04
moe-inform-client SDK
MoEngage Internship · 2022
Python PyPI SDK Design OSS

Developers integrating with MoEngage Inform's transactional messaging (3B+ messages daily) had to deal with raw HTTP and auth flows. I designed and shipped a clean Python SDK to PyPI with proper error handling and versioned releases.

Also unified AWS and Azure deployments into a single CI/CD pipeline, cutting release overhead in half.

7,600+
downloads since launch on PyPI
release velocity via unified AWS + Azure pipeline
Tools & technologies
Languages
Python Go Java JavaScript C++
Backend Frameworks
FastAPI Django Celery Spring Boot Node.js
Databases
MongoDB Redis PostgreSQL MySQL OracleDB
Infra & DevOps
AWS · Azure · GCP Docker · Kubernetes Jenkins · ArgoCD Grafana · Sentry
AI / LLM
LangChain · LangGraph OpenAI API Qdrant · ChromaDB RAG Pipelines
Currently exploring
Agentic AI Agentic workflows LLM Agents MCP servers
Side projects
Review Pilot
LangChain · Qdrant · Celery · OpenAI · GitHub

An AI-powered GitHub App that auto-triggers on pull request events and delivers codebase-aware code reviews. Uses a LangChain + Qdrant RAG pipeline to understand your full repo context — not just the diff — and supports back-and-forth feedback through an inline PR comment chatbot.

View on GitHub →
Education
B.Tech in Computer Science
KL University · Vaddeswaram, Guntur
Graduated 2023 · Full-time on-campus programme
Focused on algorithms, distributed systems, and software engineering fundamentals.
8.85
CGPA / 10.00

Let's build
something.

I'm a software engineer with 3 years at MoEngage — building systems that handle billions of messages and thousands of enterprise clients.

I care about clean APIs, observable systems, and shipping things that actually work at scale. Right now I'm most drawn to the intersection of backend infrastructure and LLM agents.

Open to interesting conversations — roles, collaborations, or just a good problem to talk through.

Email
mohammadtariqueanjum@gmail.com
Others
Recognition
★ Rockstar Award · MoEngage
★ Google Cloud Agentic AI Day 2025