Hi, I'm

Shahzaib Ali Senior Full-Stack EngineerAI-Native Products

7+ years shipping production React, Next.js and Node.js applications, and now building retrieval and agent workflows into them.

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Experience

My Journey at a Glance

Junior developer to engineering lead, and the work that moved it along.

System Nexgen
LahoreDec 2018 – Jun 2019
1. Junior Full-Stack Developer
  Dec 2018 – Jun 2019
  - Built ERP features with React on the front end and .NET on the back end.
  - Shipped inventory and reporting screens with their supporting APIs and queries.
- React
- .NET
Stop 1 of 4
Technerds
LahoreJun 2019 – Feb 2020
1. Full-Stack Developer
  Jun 2019 – Feb 2020
  - Built React front ends and Node.js APIs for a healthcare platform used by patients, clinics and practitioners.
  - Delivered the appointment scheduling module end to end.
- React
- Node.js
Stop 2 of 4
Freelance
RemoteFeb 2020 – Sep 2022
1. Full-Stack Developer
  Feb 2020 – Sep 2022
  - Completed 50+ React and Node.js engagements for international clients, owning scoping through post-launch support.
  - Built 6 full-scale applications among them: e-commerce platforms, booking systems and admin dashboards.
- React
- Node.js
Stop 3 of 4
Ropstam Solutions
IslamabadSep 2022 – Aug 2026
1. MERN Stack Developer
  Sep 2022 – Jun 2023
  - Sole full-stack developer on a live real-time concert platform serving 20,000 active users, inheriting a serverless AWS codebase.
  - Cut a core report from 30 seconds to 700 milliseconds through query-level filtering, indexing and removing redundant fetches.
  - Traced drifting like and comment counts to a read-modify-write in application code and replaced it with an atomic database increment.
2. Team Lead, MERN
  Jun 2023 – Dec 2024
  - Final reviewer on every team pull request, and set the React and Node conventions the team worked to.
  - Mentored 6 developers through daily delivery and code review; 3 progressed from junior to full-stack roles.
3. Engineering Lead
  Dec 2024 – Aug 2026
  - Built the prospect-collection pipeline for an outreach product as a LangGraph agent, orchestrating multi-step targeting as a directed graph rather than a linear script.
  - Moved campaign execution onto BullMQ queues so work runs asynchronously outside the request cycle.
  - Owned front-end and back-end architecture across 4 concurrent client projects, and produced the estimates behind 6 project wins.
- Next.js
- Node.js
- MongoDB
- LangGraph
- BullMQ
- AWS
- Team Leadership
- Project Estimation
- Requirement Gathering
Stop 4 of 4

Capabilities

What I Do

Full-stack product work, with retrieval and agent workflows built into it rather than bolted on.

Product Engineering, End to End
Whole features, from data model to shipped interface, owned rather than handed off at a boundary.
- React
- Next.js
- TypeScript
- Node.js
- Express
- Redux
API and Data Architecture
REST contracts and schemas designed to survive the second and third feature, not just the first. Background work moved onto queues so it runs outside the request cycle.
- REST API design
- MongoDB aggregation
- PostgreSQL
- MySQL
- BullMQ
Performance and Reliability
Finding why something is slow or wrong under load, then fixing the cause rather than the symptom: query plans, indexing strategy, and the concurrency bugs that only appear under real traffic.
- Query profiling
- Indexing
- Concurrency
- AWS Lambda
- CloudWatch
Retrieval Systems (RAG)
Retrieval that knows when its context is too thin. It grades what came back, rewriting and re-issuing the query, and answering "I don't know" rather than guessing confidently.
- Chunking
- Embeddings
- Pinecone
- Retrieval scoring
- LangChain
Agentic Workflows
Multi-step work modelled as a directed graph rather than a linear script, with tool calling and queue-backed execution. Shipped into a production outreach product.
- LangGraph
- Tool calling
- OpenAI API
- Queue-backed execution