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I’m Junaid Atif, a Senior Full Stack & AI Engineer with 5+ years of experience building scalable AI SaaS platforms, distributed systems, and cloud applications. I primarily work with Python, FastAPI, React/Next.js, and TypeScript, and I enjoy turning complex data workflows into reliable, production-ready products. I’ve led architecture and development across insurance/insurtech, pricing and location intelligence, LLM/RAG systems, ETL pipelines, and multi-agent AI automation. From designing robust backend services with PostgreSQL, Redis, Docker/Kubernetes, and AWS, to deploying AI features like grounded conversational search and RAG-based agents, my focus is always on building dependable, maintainable solutions that ship.…I’m Junaid Atif, a Senior Full Stack & AI Engineer with 5+ years of experience building scalable AI SaaS platforms, distributed systems, and cloud applications. I primarily work with Python, FastAPI, React/Next.js, and TypeScript, and I enjoy turning complex data workflows into reliable, production-ready products. I’ve led architecture and development across insurance/insurtech, pricing and location intelligence, LLM/RAG systems, ETL pipelines, and multi-agent AI automation. From designing robust backend services with PostgreSQL, Redis, Docker/Kubernetes, and AWS, to deploying AI features like grounded conversational search and RAG-based agents, my focus is always on building dependable, maintainable solutions that ship.

Junaid Atif

Designer, Graphic Designer, Product Designer, +7

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I’m Junaid Atif, a Senior Full Stack & AI Engineer with 5+ years of experience building scalable AI SaaS platforms, distributed systems, and cloud applications. I primarily work with Python, FastAPI, React/Next.js, and TypeScript, and I enjoy turning complex data workflows into reliable, production-ready products. I’ve led architecture and development across insurance/insurtech, pricing and location intelligence, LLM/RAG systems, ETL pipelines, and multi-agent AI automation. From designing robust backend services with PostgreSQL, Redis, Docker/Kubernetes, and AWS, to deploying AI features like grounded conversational search and RAG-based agents, my focus is always on building dependable, maintainable solutions that ship.…I’m Junaid Atif, a Senior Full Stack & AI Engineer with 5+ years of experience building scalable AI SaaS platforms, distributed systems, and cloud applications. I primarily work with Python, FastAPI, React/Next.js, and TypeScript, and I enjoy turning complex data workflows into reliable, production-ready products. I’ve led architecture and development across insurance/insurtech, pricing and location intelligence, LLM/RAG systems, ETL pipelines, and multi-agent AI automation. From designing robust backend services with PostgreSQL, Redis, Docker/Kubernetes, and AWS, to deploying AI features like grounded conversational search and RAG-based agents, my focus is always on building dependable, maintainable solutions that ship.

Available to hire

I’m Junaid Atif, a Senior Full Stack & AI Engineer with 5+ years of experience building scalable AI SaaS platforms, distributed systems, and cloud applications. I primarily work with Python, FastAPI, React/Next.js, and TypeScript, and I enjoy turning complex data workflows into reliable, production-ready products.

I’ve led architecture and development across insurance/insurtech, pricing and location intelligence, LLM/RAG systems, ETL pipelines, and multi-agent AI automation. From designing robust backend services with PostgreSQL, Redis, Docker/Kubernetes, and AWS, to deploying AI features like grounded conversational search and RAG-based agents, my focus is always on building dependable, maintainable solutions that ship.

Skills

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Intermediate

Intermediate

DaVinci Resolve Studio

Intermediate

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Beginner

Language

English

Fluent

Urdu

Advanced

Work Experience

AI Engineer (AI-Powered Basketball Scouting & Analytics Platform) at Basketball Scout AI

January 1, 2026 - Present

Built and launched AI-powered basketball scouting platforms supporting 107K+ player profiles across 25+ leagues. Led platform delivery from data architecture through AI development to production launch, establishing core architecture and AI capabilities. Built automated pipelines to continuously process and update 100K+ player records, team statistics, news, and scouting data. Delivered AI scouting reports, grounded conversational search, and an LLM-driven player similarity engine using RAG and semantic search.

Basketball Atlas Technical Lead — AI & Full Stack Engineer (Remote) at Basketball Atlas

January 1, 2026 - Present

Led end-to-end architecture and development of a basketball intelligence platform covering hundreds of thousands of players and thousands of teams. Built scraping and ETL pipelines to aggregate and normalize multi-source basketball data into a centralized database, with continuously updating player stats, team data, news, and scouting information. Delivered production AI capabilities including AI scouting reports, grounded conversational search using platform data, and a “Doppelgänger” player similarity engine powered by RAG, semantic search, vector retrieval, and LLM pipelines. Scaled FastAPI, React/Next.js, PostgreSQL, Redis, and Celery architecture for large datasets, asynchronous AI workloads, and continuous feature delivery.

AI-Powered Basketball Scouting Platform Builder at Basketballsco tai (Basketball Scout AI)

January 1, 2026 - Present

Built and launched AI-powered basketball scouting platforms supporting 107K+ player profiles across 25+ leagues. Led platform development from data architecture and AI development through production launch, building core architecture and AI capabilities. Built automated pipelines to continuously process and update 100K+ player records, team statistics, news, and scouting data. Delivered AI scouting reports, grounded conversational search, and a player similarity engine powered by LLMs, RAG, and semantic search. Scaled FastAPI, Next.js, and PostgreSQL architecture to support growing datasets, asynchronous AI workloads, and production feature delivery.

Basketball Atlas Technical Lead — AI & Full Stack Engineer at Basketball Atlas

January 1, 2026 - Present

Led architecture and development of a basketball intelligence platform from scratch, covering 200,000+ players, 700+ leagues, and thousands of teams. Built scraping and ETL pipelines to aggregate, normalize, and unify data from multiple sources into a centralized basketball database with continuously updating player stats, team data, news, and scouting information. Delivered production AI capabilities including AI scouting reports, a grounded conversational AI agent backed by platform data, and a “Doppelgänger” player similarity engine using RAG, semantic search, vector retrieval, and LLM pipelines. Scaled the FastAPI, React/Next.js, PostgreSQL, Redis, and Celery architecture to support large datasets, asynchronous AI workloads, and continuous feature delivery.

AI Full Stack Engineer (Marketing Intelligence Platform) at Adology AI

November 1, 2024 - January 1, 2026

Transformed raw social data from multiple platforms into actionable marketing insights for teams. Built a React + Tailwind dashboard to visualize campaign performance across multiple marketing channels, providing a centralized view of campaign intelligence. Built a Python data pipeline integrating multiple social APIs to process inputs and deliver near real-time marketing insights, enabling centralized multi-channel campaign data and real-time intelligence.

AI Full Stack & AI Engineer (Remote) at Adology AI

November 1, 2024 - January 1, 2026

Re-architected a Celery/Redis worker architecture into scalable AWS pipelines using SQS, Lambda, AWS Batch, and EventBridge for reliable processing of high-volume advertising media and frame-by-frame video workloads. Built frame-level multimodal embedding pipelines, semantic media retrieval, and a grounded RAG “Inquire” assistant using custom customer/brand data. Designed vector search and analytics backend powering a customer-facing intelligence dashboard to help users search, analyze, and extract insights from large volumes of advertising media.

AI Full Stack Engineer (Marketing Intelligence Platform - Adolgy AI) at adologyai.com

November 1, 2024 - January 1, 2026

Transformed raw social data from multiple platforms into actionable marketing intelligence to help teams turn large volumes of data into practical strategies. Built a React + Tailwind dashboard to visualize campaign performance across multiple marketing channels with a centralized view of campaign insights. Built a Python data pipeline integrating multiple social APIs to process and deliver near-real-time marketing insights, centralizing multi-channel campaign data and enabling real-time insights.

AI Full Stack & AI Engineer (Adolgy AI) at Adolgy AI

November 1, 2024 - January 1, 2026

Re-architected an existing Celery/Redis worker architecture into scalable AWS pipelines using SQS, Lambda, AWS Batch, and EventBridge for reliable processing of high-volume advertising media and frame-by-frame video workloads. Built frame-level multimodal embedding pipelines, semantic media retrieval, and a RAG “Inquire” assistant delivering grounded answers using customer and brand data. Designed vector search and analytics backends powering a customer-facing intelligence dashboard for searching, analyzing, and extracting insights from large volumes of advertising media. Used Claude Code and Cursor with structured multi-agent workflows to accelerate development while maintaining clean and maintainable code.

Contributor at CKAN

May 1, 2024 - May 1, 2025

Contributed to the core Python codebase of CKAN, an open-source data management platform used to power hundreds of public data portals worldwide. Supported deployment and operation of CKAN-based data platforms across many data portals.

Contributor at CKAN (Open-Source Data Management Platform)

May 1, 2024 - May 1, 2025

Powered data hubs and data portals using CKAN to publish, share, and manage data. Enabled organizations to publish, share, and use data through centralized data portals. Supported deployment and operations of CKAN-based data platforms across hundreds of data portals. Improved datasets so they became more accessible, discoverable, and reusable for organizations and their users.

Senior Full Stack Engineer at Self-Employed

January 1, 2024 - Present

Lead design, architecture, and implementation of high-performance Python backend systems using FastAPI and Django; built scalable cloud solutions on AWS/GCP with microservices, serverless functions, and container orchestration.

Lead AI Workflow Developer at Generative Print Solutions, Adology

January 1, 2024 - Present

Designed AI workflows generating print-ready food packaging backgrounds using Google AI Studio and Imagin4, ensuring bleed/trim/safe zone compliance. Mastered advanced prompt engineering for consistent, high-quality outputs meeting commercial printing standards across label formats.

AI Print Design Engineer – Label Generation Workflows at Self-Employed

January 1, 2024 - Present

Designed AI workflows generating print-ready food packaging backgrounds using Google AI Studio / imagen 4, ensuring bleed/trim/safe zone compliance. Mastered advanced prompt engineering for consistent, high-quality outputs meeting commercial printing standards across label formats.

AI Print Design Engineer at Label Generation Workflows / Self-Employed

January 1, 2024 - Present

Designed AI-driven print workflows generating production-ready packaging visuals, ensuring bleed/trim/safe zones and CMYK compliance across label formats.

DevSync Software Engineer at DevSync

January 1, 2023 - November 1, 2024

Architected and developed data-intensive applications and web scraping systems for collecting and processing data from multiple sources. Led the transition to a microservices architecture, improving system performance by 50% and reducing maintenance overhead by 75% through better service isolation and scalability. Designed and implemented secure, scalable backend systems emphasizing data integrity, reliability, and maintainability across production applications. Delivered 30+ production features including payment gateway integrations and order management systems.

DevSinс Software Engineer at Devsinc

January 1, 2023 - November 1, 2024

Architected and developed data-intensive applications and web scraping systems to collect and process data from multiple sources, supporting scalable and reliable business workflows. Led the transition to a microservices architecture, improving system performance by 50% and reducing maintenance overhead by 75% through better service isolation and scalability. Designed and implemented secure, scalable backend systems focusing on data integrity, reliability, and maintainability across production applications. Delivered 30+ production features including payment gateway integrations and order management systems, translating business requirements into reliable technical solutions.

Full Stack Engineer at Pavo Insurance Solutions

January 1, 2022 - January 1, 2024

Built backend microservices in Flask with asynchronous processing using Celery and Redis; designed and implemented semantic search and AI chatbots using RAG and modern LLMs; contributed on frontend using React.js and Next.js; optimized API and database performance for high-throughput workflows; integrated third-party data sources and automated ETL pipelines.

Independent AI Engineer at Twine

January 1, 2022 - December 31, 2023

Proven full-time contract delivery for creative/ tech marketplaces like Twine. Delivered end-to-end AI image generation pipelines for production-ready packaging designs and optimized workflows.

Lead AI Workflow Developer – Generative Print Solutions, Adology at Generative Print Solutions, Adology

January 1, 2022 - December 31, 2023

Delivered end-to-end AI image generation pipelines transforming user inputs into production-ready designs for branded packaging. Collaborated with stakeholders iterating on workflow improvements, focusing on detail-oriented quality control for real-world printing.

Lead AI Workflow Developer at Generative Print Solutions, Adology

January 1, 2022 - January 1, 2023

Delivered end-to-end AI image generation pipelines transforming user inputs into production-ready designs for branded packaging; collaborated with stakeholders on workflow improvements with emphasis on detailed, quality-controlled printing outputs.

AI Engineer – Physical Product AI at Devsinc

January 1, 2021 - January 1, 2022

Applied AI image generation for physical product packaging; prepared models and outputs for a custom label-maker platform, enabling scalable production-ready designs.

Independent AI Engineer & Full Stack Consultant (Remote)

September 1, 2020 - Present

Delivered AI products and automation systems for global clients, including LLM integrations, RAG systems, data pipelines, web scraping, and workflow automation. Worked across API design, backend services, and production deployment patterns. Pavo Insurance: Architected and developed an insurtech orchestration API for policy, claims, and AI services, including Auto Flow, Risk Radar, and FNOL AI. IPM Hub & IPMS: Built production platforms supporting operational and management workflows across backend services, APIs, databases, frontend apps, and integrations. GeoPrice: Developed a location and pricing intelligence platform with automated data pipelines for collecting, processing, and delivering market data.

Self Employed Independent AI Engineer & Full Stack Consultant

September 1, 2020 - Present

Delivered AI products, SaaS platforms, and automation systems for global clients via Upwork and direct engagements. Built solutions covering LLM integrations, RAG systems, data pipelines, web scraping, and workflow automation. Worked on an InsurTech platform (API + microservices) including AutoFlow, Risk Radar, and FNOL AI. Contributed to production platforms for operational and management workflows across backend services, APIs, databases, frontend apps, and integrations. Developed a geolocation and pricing intelligence platform with automated data pipelines for collecting and delivering local market data. Built consumer-facing mobile/web apps and contributed to backend services, APIs, and production delivery. Contributed to the open-source CKAN data management platform codebase.

Software Engineer at Devs Inc

January 1, 2020 - January 1, 2022

Developed cloud-based services on AWS; managed AWS infrastructure using Terraform; optimized database queries and indexing; improved API response times; implemented automated testing and CI/CD pipelines where applicable.

Software Engineer at Devsinc

January 1, 2020 - January 1, 2022

Supported the design and development of cloud-based services on AWS for scalable application delivery; managed AWS infrastructure using Terraform; optimized database queries and indexing; collaborated with product managers and engineers to deliver features in an agile environment with React/Next.js front-end.