Syed Ali Abbas, Developer in Lahore, Punjab, Pakistan
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Syed Ali Abbas

Bio

Ali is a full-stack developer with 6+ years of experience across the TypeScript ecosystem, specializing in React, Next.js, Node.js, and NestJS, with deep strength in microservice back ends and performance-sensitive, data-heavy platforms. He has owned features, end-to-end schema design, the API layer, the front end, infrastructure, and AWS deployments, and is comfortable scaling systems to tens of millions of records. Ali has cut query response times by 40% and search latency by 50%.

Portfolio

Indus Tech
RAG Architecture, Vectors, Node.js, Full-stack, PostgreSQL, LangChain...
CodingCops
Algorithms, Databases, PostgreSQL, Jira, Microservices, Next.js, Kafka Streams...
Devminds Studio
JavaScript, Node.js, Next.js, Express.js, Chatbots...

Experience

  • Data Structures - 8 years
  • Algorithms - 8 years
  • Databases - 7 years
  • JavaScript - 6 years
  • PostgreSQL - 5 years
  • Docker - 5 years
  • Microservices - 5 years
  • Node.js - 5 years

Preferred Environment

MacOS, Windows, Jira, Slack, Git

The most amazing...

...thing I've built is a search and BI engine handling 30+ million records, where I cut query response times by 40% and search latency by 50%.

Work Experience

Senior Full-stack Developer

2025 - 2026
Indus Tech
  • Worked as part of the engineering team to build DipGos, an AI platform that automates construction and pipeline-integrity workflows by turning large volumes of technical documents and inspection reports into instant, queryable answers.
  • Architected and implemented a retrieval-augmented generation (RAG) pipeline that ingested engineering documents, inspection data, and asset-owner histories, then served grounded, citation-backed responses to domain-specific queries.
  • Built the document ingestion and chunking layer, i.e., parsing PDFs, reports, and structured inspection records with embeddings stored in a vector database for fast semantic retrieval.
  • Integrated an LLM-driven query interface that let engineers ask natural-language questions about integrity assessments, regulatory requirements, and historical inspections, reducing manual document search from hours to seconds.
  • Developed the full-stack application around the pipeline, a Next.js/TypeScript front end, and a Node.js/NestJS back end exposing the RAG and automation APIs.
  • Deployed and scaled the system on AWS with containerized services and CI/CD, ensuring reliable, secure handling of sensitive engineering data.
Technologies: RAG Architecture, Vectors, Node.js, Full-stack, PostgreSQL, LangChain, Claude API, AWS IoT, Algorithms, AI Automation, APIs, Authentication, TypeScript, Next.js, Docker, Data Architecture, PDF, Data Analysis, Cursor AI, Claude Code, MacOS, Jira, Slack, Git, JavaScript, Databases, HTML, CSS, Data Structures, Object-oriented Programming (OOP), Redis, ECS, Amazon Elastic Container Registry (ECR), Full-stack Development, NestJS, System Architecture Design, Python, API Integration, Role-based Access Control (RBAC), Architecture, Technical Leadership, Prompt Engineering, AI Integration, Stripe, Vercel, Amazon Web Services (AWS), Google Cloud Platform (GCP), User Experience (UX), AI Agents, Agentic AI, Large Language Models (LLMs), Multi-agent Systems, User Flows, User Interface (UI), Document Processing, REST APIs, Application Modernization, Claude, WebGL, Performance, React Query, Tailwind CSS, DocuSign

Senior Full-stack Engineer

2023 - 2025
CodingCops
  • Reduced average query response time by 40% through microservice optimization and database indexing on a platform handling 30+ million records.
  • Ingested millions of user records into a Redshift data warehouse, enabling centralized reporting and analytics via integrated data pipelines.
  • Architected the complete back end and front end of a data intelligence platform from scratch, owning the full delivery cycle in an Agile team.
  • Designed and deployed a scalable headless back end on AWS that facilitated 1,000+ daily active users with zero critical downtime incidents.
  • Ingested millions of user records into a Redshift data warehouse, enabling centralized reporting and analytics via integrated data pipelines.
Technologies: Algorithms, Databases, PostgreSQL, Jira, Microservices, Next.js, Kafka Streams, MongoDB, APIs, Node.js, AWS IoT, Docker, Neo4j, AI Automation, AI Chatbots, GitHub Workflows, CI/CD Pipelines, Data Analysis, Database Architecture, Data Architecture, React Native, React, Android, iOS, Mobile UX, Mobile App Development, Firebase, Google Play Store, Claude API, Cursor AI, Web Portals, MacOS, Slack, Git, JavaScript, MySQL, HTML, CSS, Data Structures, Object-oriented Programming (OOP), Redis, Amazon CloudFront CDN, ECS, Amazon Elastic Container Registry (ECR), Full-stack Development, Monorepos, NestJS, System Architecture Design, Claude Code, API Integration, Google Maps API, Stripe API, TypeScript, Redux, Role-based Access Control (RBAC), Architecture, Technical Leadership, Prompt Engineering, Stripe, Supabase, Vercel, Amazon Web Services (AWS), User Experience (UX), AI Agents, Agentic AI, User Flows, User Interface (UI), Workflows, REST APIs, Application Modernization, Claude, WebGL, Performance, React Query, Tailwind CSS, DocuSign

Back-end and Full-stack Developer

2022 - 2023
Devminds Studio
  • Delivered custom full-stack web and mobile applications across healthcare, hospitality, retail, and fintech, owning features end to end from schema design through AWS deployment.
  • Built AI-powered chatbots and automation workflows that reduced manual support load and accelerated customer response times across multiple client products.
  • Developed secure, compliance-minded healthcare platforms for patient management and clinical workflows, with role-based access control and audit logging.
  • Built secure payment and mobile-banking features with biometrics, transaction tracking, and strong authentication.
  • Automated KYC flows and integrated an AI assistant for balance queries, transaction history, and fraud-alert notifications.
Technologies: JavaScript, Node.js, Next.js, Express.js, Chatbots, Artificial Intelligence (AI), Microservices, PostgreSQL, AWS IoT, CI/CD Pipelines, Docker, Cloudflare, APIs, Back-end, Full-stack, Role-based Access Control (RBAC), AI Automation, Prompt Engineering, Authentication, Data Architecture, Database Architecture, API Gateways, User Experience (UX), React Native, MERN Stack, MacOS, Slack, Git, MySQL, Databases, HTML, CSS, Data Structures, Algorithms, Redis, Amazon CloudFront CDN, Amazon Elastic Container Registry (ECR), Full-stack Development, API Integration, Stripe API, Redux, Architecture, Stripe, Vercel, Amazon Web Services (AWS), AI Agents, REST APIs, Performance, Progressive Web Applications (PWAs)

Full-stack Developer

2021 - 2022
Mosino
  • Identified and resolved database query inefficiencies, leading to improved data retrieval and application performance.
  • Collaborated with the team to implement best practices, contributing to the overall efficiency of the development process.
  • Played a key role in optimizing the performance of automated door locks and hotel management products, enhancing the value proposition for clients.
  • Worked on both front end and back end, using jQuery for front-end development and .NET for back-end services.
  • Gained expertise in debugging, maintaining applications, and producing production-level code.
Technologies: .NET, jQuery, MySQL, CSS, Design, React, Full-stack, SQL, PostgreSQL, MacOS, Slack, Git, Databases, HTML, Algorithms, Progressive Web Applications (PWAs)

Experience

DiPGOS, a Digital Project Governance Operating System

DIPGOS turns mountains of engineering paperwork into instant answers. Working with the team at Industech Global, I helped build an AI platform that automates construction and pipeline-integrity workflows, with a retrieval-augmented generation (RAG) pipeline at its core. I helped architect the ingestion layer, parsing inspection reports, technical documents, and asset histories, then embedding them into a vector store for fast semantic retrieval. On top of that sat an LLM-powered query interface that let engineers ask plain-language questions about integrity assessments, regulations, and past inspections, collapsing hours of manual document hunting into seconds of grounded, citation-backed answers. I contributed across the full stack, a Next.js/TypeScript front end, a Node.js/NestJS back end, and a containerized AWS deployment built to handle sensitive engineering data securely and at scale.

Business Intelligence Platform

A large-scale internal business intelligence platform built to process and analyze over 30 million records in real time. I served as the primary back-end engineer, designing and managing microservices architecture using Node.js and Kafka for event streaming.

I implemented Elasticsearch to power platform-wide search, reducing search latency by 50%. I optimized database queries against Neo4j, cutting average response time by 40%. I also managed all AWS deployments through automated CI/CD pipelines, achieving 99% uptime. This project involved collaboration with cross-functional teams across back end, design, and QA in an Agile sprint-based workflow.

In-vehicle Entertainment

I designed and developed a scalable headless back end for an in-vehicle entertainment system serving 1,000+ daily active users in live production. I architected the entire server-side infrastructure using Strapi CMS on AWS ECS with Docker containerization.

I reduced query execution time by 50% through targeted database optimization, integrated AWS OpenSearch for data processing, and built a centralized Redshift data warehouse ingesting millions of user records for reporting via S3 pipelines. I configured a fully automated CI/CD pipeline that maintained 99.9% uptime throughout the production lifecycle.

Holmz - High-volume Search & BI Engine

30 million records, sub-second answers. I engineered and scaled a back end that handled 30+ million records without sacrificing speed, re-architecting the data model and rolling out Elasticsearch to cut average query response time by 40% and search latency by 50%. I used Apache Kafka for event streaming and Neo4j for relationship-heavy data, automated AWS deployments to sustain 99% uptime, and established the logging and error-handling standards that kept the system easy to debug and extend as it grew.

Education

2016 - 2020

Bachelor's Degree in Computer Science

University of Management and Technology - Lahore, Pakistan

Skills

Libraries/APIs

Node.js, React, Stripe API, Stripe, REST APIs, WebGL, React Query, jQuery, Google Maps API, Claude API

Tools

Slack, Git, Amazon CloudFront CDN, Claude Code, Claude, Jira, Kafka Streams, Amazon Elastic Container Registry (ECR), Docker Hub, GitHub

Languages

JavaScript, HTML, CSS, TypeScript, Python, SQL

Frameworks

Next.js, React Native, Redux, Tailwind CSS, .NET, Koa, Express.js, NestJS

Paradigms

Object-oriented Programming (OOP), Microservices, Role-based Access Control (RBAC)

Platforms

MacOS, Vercel, Amazon Web Services (AWS), Windows, Docker, AWS ALB, AWS IoT, Android, iOS, Firebase, Google Cloud Platform (GCP)

Storage

Databases, PostgreSQL, Redis, MySQL, Redshift, Database Architecture, MongoDB, Neo4j

Other

Data Structures, Algorithms, Design, CI/CD Pipelines, Full-stack, Artificial Intelligence (AI), Prompt Engineering, User Experience (UX), Cursor AI, Full-stack Development, API Integration, Architecture, Technical Leadership, User Flows, User Interface (UI), Document Processing, Application Modernization, Performance, Progressive Web Applications (PWAs), DocuSign, PDF, AI Integration, Supabase, AI Agents, Agentic AI, Large Language Models (LLMs), Workflows, ECS, GoDaddy, Strapi, Cloudflare, APIs, Warehouses, Looker Studio, Chatbots, Back-end, AI Automation, Authentication, Data Architecture, API Gateways, MERN Stack, RAG Architecture, Vectors, LangChain, Data Analysis, AI Chatbots, GitHub Workflows, Mobile UX, Mobile App Development, Google Play Store, Web Portals, System Architecture Design, Monorepos, Multi-agent Systems

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