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AI Engineer with 1+ years in AI-driven systems & backend development
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AI/ML Engineer with 2+ years of experience delivering scalable, secure, and high-performance AI-driven systems. Strong expertise in backend development using Python, FastAPI, Django, and REST APIs, with experience in MySQL and PostgreSQL. Skilled in building modern frontend interfaces using React, Next.js, and TypeScript. Experienced in integrating Generative AI solutions, including Large Language Models (LLMs), AI agents, and AI-assisted workflows using LangChain and LangGraph. Proficient in cloud and development tooling, including Docker, CI/CD pipelines, and Git-based workflows, delivering maintainable and production-ready solutions.
Cholistan University of Veterinary & Animal Sciences
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2024
Punjab College
Intermediate · Science
June 1, 2018 – May 31, 2020
GRQ Holdings - Nexa Commerce Division
Full Stack AI Engineer
November 1, 2025 – Present
India
Dafon Environmental Technology Co., Ltd.
AI Engineer
January 1, 2025 – September 1, 2025
Taiwan
AI-Powered Content Engine
June 27, 2026 – Present
Built fully automated n8n pipeline reading RSS feeds, ranking articles via AI agents, and auto-publishing to 6+ platforms. Generated platform-specific captions, images, and videos using Google Gemini, Vertex AI (Veo3), and OpenRouter. Used Placid.app & Creatomate for dynamic visual content creation. Managed campaigns via Google Sheets as a trigger-based control panel – zero manual intervention.
AI-Powered Campaign Management Platform (Publisha.io)
June 27, 2026 – Present
Publisha.io is a multi-tenant campaign management platform that enables businesses to plan, create, and publish marketing content efficiently. It supports team collaboration, role-based access, automated campaign scheduling, and multi-channel publishing with secure data separation between organizations. The platform uses LangChain for AI-driven content generation across blogs, social media, and campaigns, with human review workflows and reliable background task scheduling.
AI Doctor – Healthcare Web Application (LLM-Powered Medical Assistant)
June 27, 2026 – Present
Built an LLM-powered healthcare chatbot using LangChain, LangGraph, and RAG. FastAPI backend + Next.js frontend with TypeScript and CSS modules. Recommends health tips, nutrition guidance, and medicine based on user input. Implemented local data storage for session-based user interactions.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including social media automation, campaign management, and healthcare applications, demonstrates adaptability and a broad interest in applying AI across different domains. The experience with various AI tools and platforms, coupled with full-stack development, indicates a versatile and collaborative mindset suitable for dynamic team environments. The focus on practical, deployable solutions aligns well with a product-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a strong ability to deliver end-to-end solutions, manage complex integrations, and automate operational tasks, indicating good problem-solving and practical application skills. The focus on reducing manual workloads and improving efficiency suggests a results-oriented approach.