Abu Hanzla

Full Stack Engineer specializing in scalable SaaS, AI-powered features, and production-grade web applications.

Based in: Lahore, PakistanMost recently: Associate Software Engineer, Zylo SolutionsExperience: 1 year

Hire me

Experienced Full Stack Engineer with a proven track record of shipping end-to-end solutions using Next.js, NestJS, and FastAPI. He excels at integrating complex systems like Stripe payments, multi-tenant architectures, and RAG-based AI workflows to deliver measurable business impact.

Experience

Associate Software Engineer

Zylo SolutionsLahore, PakistanworkOct 2025 – May 2026

Summary

Architected and deployed scalable web applications leveraging Next.js, NestJS, and FastAPI across multiple product lines. Designed PostgreSQL and MongoDB data models supporting complex business workflows and real-time features. Implemented Stripe and Paddle payment integrations enabling subscription-based SaaS billing for production systems. Optimized API performance and database queries resulting in improved application responsiveness and user experience.

What I did

  • Built role-based access control and a client-broker relationship model.
  • Designed REST APIs specifically for mobile consumption to minimize over-fetching.
  • Ran multiple backend services in Docker on EC2.
  • Implemented CI/CD pipelines that ran linting, type checks, and tests on every pull request.
  • Managed React Native release flows including APK builds, versioning, and internal testing on Google Play and TestFlight.
  • Wrote production Python for the API layer, AI feed optimization engine, and e-commerce integrations.

Results

  • Designed and deployed a NestJS and PostgreSQL backend on AWS for an iOS app with 2,000+ downloads.
  • Maintained API response times under 200ms across endpoints by optimizing payloads and indexing queries.
  • Architected a multi-tenant PostgreSQL schema to isolate customer data while maintaining query performance.
  • Integrated Stripe and Paddle billing systems for a production-ready product.
  • Served 2,000+ downloads on the Australian App Store.
  • Improved feed quality metrics by 40% through an AI feed optimization engine.
Next.jsNestJSFastAPIPostgreSQLMongoDBStripePaddleDockerCI/CDOpenAPIGoogle Play ConsoleTestFlightPython

Full Stack Developer

Applied Intelligence Solutions (Private) LimitedLahore, Pakistan (Remote)workJun 2025 – Oct 2025

Summary

Developed and maintained full-stack web applications using Next.js, NestJS, tRPC, and TypeScript. Built type-safe APIs with PostgreSQL and MongoDB, ensuring data consistency across microservices. Implemented responsive UI components using Tailwind CSS and Shadcn/UI, improving development velocity by 30%. Collaborated with cross-functional teams to translate product requirements into scalable technical solutions.

What I did

  • Started first job as a Software Engineer while in the 3rd semester of university.
Next.jsNestJStRPCTypeScriptPostgreSQLMongoDBTailwind CSSShadcn/UI

Skills

Technical

Next.jsNext.js
TypeScriptTypeScript
TailwindCSSTailwindCSS
CSSCSS
Node.jsNode.js
NestJS
RESTful APIs
JavaScriptJavaScript
PostgreSQLPostgreSQL
HTMLHTML
React.jsReact.js
Paddle
Express.jsExpress.js
Stripe
MongoDBMongoDB
FastAPIFastAPI
Shadcn/UI
Prisma ORM
SupabaseSupabase
React ReduxReact Redux
tRPC
AWS
RAG Systems
LangChain
System Design
DockerDocker
CI/CD
RBAC
pgvector
Inngest
Re-ranking
Context Management
Ollama
PythonPython
Hugging Face
LoRA
Model Evaluation
Data Rebalancing
SFTTrainer
bitsandbytes
scikit-learn
CDN caching
Dataset Preparation
MMKV

Areas of expertise

Project Ownership

Projects

ScaleApp Backend & Platform

Backend Engineerprofessional
Designed and deployed production NestJS backend serving iOS app with 2,000+ downloads on Australian App Store. Implemented role-based access control (RBAC) and client-broker relationships, enabling secure multi-user workflows. Built RESTful API architecture optimized for mobile consumption with sub-200ms response times across endpoints. Engineered secure authentication and profile management supporting real-world brokerage operations at scale.
NestJSTypeScriptPostgreSQLAWS

SocialOS

Full Stack Developerpersonal
Built full-stack social platform prototype with real-time features and responsive design, deployed and live. Implemented user authentication, feed management, and interactive components achieving responsive UI performance. Demonstrated ability to rapidly prototype and ship product features while maintaining code quality.
Next.jsReactTailwind CSSNode.jsLangChain

Multi-Framework API Schema Validation MCP Tool

Contributoropen_source
Developed reusable MCP tool supporting API schema validation across multiple framework ecosystems. Contributed to open-source community with well-documented, production-ready tooling. Improved developer experience by reducing validation boilerplate across heterogeneous tech stacks.
TypeScriptNode.js

Appisol Intelligent Website

Software Engineerprofessional
Engineered company website with integrated AI-powered conversational system using Retrieval-Augmented Generation (RAG). Delivered end-to-end solution from architecture to deployment, demonstrating ability to integrate cutting-edge AI features. Enabled interactive AI demos for client engagement, differentiating digital presence in competitive market.
Next.jsRAGAI IntegrationLlamaOllamaPostgreSQLpgvectorInngestcal.comPython

reventure.app

personal
A web and mobile application with over 250k monthly users where I implemented CDN and MMKV caching to improve speed and offline functionality.

MagicFeedPro

Lead Engineerprofessional
Engineered SaaS platform enabling e-commerce feed optimization across WooCommerce and Shopify, reaching production with real user traction. Implemented subscription-based billing system with Stripe and Paddle, processing recurring payments for multiple customer tiers. Built AI-powered product feed optimization engine using FastAPI backend, improving customer feed quality metrics by 40%. Architected multi-tenant database schema supporting isolated customer data while maintaining query performance at scale.
Next.jsFastAPIStripePaddlePostgreSQLLangChainVercelDockerEC2Python

ML Fine-tuning Experiments

personal
Hands-on learning of the fine-tuning workflow including dataset preparation, fine-tuning small open models with LoRA using Hugging Face, and evaluating against baselines.
PythonHugging FaceLoRA

E-commerce Product Classification Fine-tuning

personal
Fine-tuned a small open model using LoRA to classify e-commerce products into categories from titles and descriptions using a dataset of 1,500 labeled products.
LoRAGoogle ColabT4 GPUQwen2.5-1.5B-InstructHugging Face transformersHugging Face datasetspeft

Education

Bachelor of Science in Computer Science

University of EducationComputer ScienceGPA 3.28
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Abu's twin is AI, it can make mistakes.

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