09/07/2026 updated
100 % available
Full-Stack Software Developer & AI Automation Engineer
sukkur, Pakistan
Only remote
Bachelor's in Software EngineeringFull-Stack Web Development
Expertise in designing, building, and deploying production web applications end-to-end using JavaScript, TypeScript, Python, React, Next.js, Vue.js, Node.js, Express.js, FastAPI, Django, and Flask, combined with REST and GraphQL API design and responsive frontend architecture.
AI & Automation Engineering
Hands-on experience integrating LLM APIs including Anthropic and OpenAI to build agentic workflows, automation pipelines, and AI-driven data-cleaning solutions, leveraging tools such as Claude Code, MCP, RAG, NLP, Pandas, NumPy, and scikit-learn.
Cloud & DevOps
Proficiency in cloud deployment and containerization using AWS, Docker, and Kubernetes, with experience in CI/CD pipelines via GitHub Actions, Jenkins, and GitLab CI, as well as automated testing and build pipeline management.
Database Management
Solid knowledge of SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Firebase, covering database design, query optimization, and integration into full-stack applications.
Frontend Design & UI/UX
Practical skills in UI/UX design and prototyping using Figma, Canva, Adobe Photoshop, and Adobe Illustrator, with a focus on responsive web design, wireframing, and creating user-friendly interfaces optimized for diverse environments.
Data Science & Analytics
Applied knowledge of machine learning, statistical methods, and data analysis using Python libraries such as Pandas, NumPy, and scikit-learn, including building interactive BI dashboards for real-time visual insights and KPI tracking.
Python Web Scraping & Data Pipelines
Experience building and maintaining Python web-scraping pipelines to source, clean, and normalize external datasets for platform preprocessing workflows.
SaaS Product Development
End-to-end ownership of SaaS product lifecycle including roadmap planning, user-feedback collection, feature scoping, and release prioritization, demonstrated through founding and leading the VisIQ platform serving 1,000+ daily active users.
Expertise in designing, building, and deploying production web applications end-to-end using JavaScript, TypeScript, Python, React, Next.js, Vue.js, Node.js, Express.js, FastAPI, Django, and Flask, combined with REST and GraphQL API design and responsive frontend architecture.
AI & Automation Engineering
Hands-on experience integrating LLM APIs including Anthropic and OpenAI to build agentic workflows, automation pipelines, and AI-driven data-cleaning solutions, leveraging tools such as Claude Code, MCP, RAG, NLP, Pandas, NumPy, and scikit-learn.
Cloud & DevOps
Proficiency in cloud deployment and containerization using AWS, Docker, and Kubernetes, with experience in CI/CD pipelines via GitHub Actions, Jenkins, and GitLab CI, as well as automated testing and build pipeline management.
Database Management
Solid knowledge of SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Firebase, covering database design, query optimization, and integration into full-stack applications.
Frontend Design & UI/UX
Practical skills in UI/UX design and prototyping using Figma, Canva, Adobe Photoshop, and Adobe Illustrator, with a focus on responsive web design, wireframing, and creating user-friendly interfaces optimized for diverse environments.
Data Science & Analytics
Applied knowledge of machine learning, statistical methods, and data analysis using Python libraries such as Pandas, NumPy, and scikit-learn, including building interactive BI dashboards for real-time visual insights and KPI tracking.
Python Web Scraping & Data Pipelines
Experience building and maintaining Python web-scraping pipelines to source, clean, and normalize external datasets for platform preprocessing workflows.
SaaS Product Development
End-to-end ownership of SaaS product lifecycle including roadmap planning, user-feedback collection, feature scoping, and release prioritization, demonstrated through founding and leading the VisIQ platform serving 1,000+ daily active users.
Languages
EnglishFluent
Project history
Designed, developed, and deployed a full-stack SaaS platform end to end, including authentication system, responsive dashboard, and complete front-end architecture scaling to 1,000+ daily active data scientists, ML engineers, and analysts. Engineered an AI-driven automation pipeline that cut a multi-hour manual data-cleaning process to seconds, improving processing efficiency by over 99%. Built and maintained Python web-scraping pipelines to source, clean, and normalize external datasets. Owned the entire product lifecycle solo, including roadmap planning, user-feedback collection, feature scoping, and release prioritization.
Built an automated trading bot integrating broker APIs for live market data and trade execution, with custom indicator and strategy logic using Pandas and NumPy. Deployed on a VPS with Docker and systemd for 24/7 uptime and auto-restarts; used PostgreSQL for trade logging, performance tracking, and error monitoring.
Built an interactive BI dashboard converting raw datasets into real-time visual insights and KPI tracking, prioritizing clean UX and actionable reporting.
Certificates
Claude code
Anthropic2026
Data science certification
IBA sukkur university2026