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AI Engineer with less than a year in Python & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduate Software Engineer specializing in next-generation AI products, enterprise assistants, and workflow automation solutions. Proficient in modern generative AI technologies and robust backend infrastructures, with hands-on experience in RAG systems, Agentic AI, LangChain, and FastAPI. Successfully architected and deployed AI-driven solutions to solve complex business challenges.
PMAS-Arid Agriculture University, Rawalpindi
Bachelor of Science · Software Engineering
N/A – June 30, 2026
Kodelix
Software Engineer (AI & Backend Focus)
January 1, 2026 – April 1, 2026
India
Health Insights Agent (Enterprise AI Assistant)
June 27, 2026 – Present
Architected an advanced AI-driven backend system utilizing Retrieval-Augmented Generation (RAG) to analyze, process, and generate actionable insights from complex datasets. Integrated vector databases to ensure fast, context-aware information retrieval, demonstrating strong capabilities in building enterprise-grade AI assistants.
Eco-CSR Consultant (Agentic AI Copilot)
June 27, 2026 – Present
Engineered a web-based consulting copilot focusing on agentic workflow automation and AI-assisted data handling for consulting processes. Deployed the solution ensuring clean backend-frontend communication, maintaining strict version control and professional deployment practices.
VidioMind (AI Workflow Automation)
June 27, 2026 – Present
Integrated generative AI capabilities into a dynamic content processing platform to optimize backend workflows and automate data pipelines. Took ownership of API integrations, effectively connecting scalable Python backends with frontend interfaces for real-time AI product feedback.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with an AI Engineer role, showcasing diverse applications of generative AI and agentic workflows. The breadth of technologies used (Python, FastAPI, LangChain, Vector Databases, Cloud Infrastructure) indicates adaptability and a willingness to explore different tools. The professional experience, though short, also aligns with backend and AI focus. The candidate's educational background in Software Engineering further supports a good cultural fit for a technically driven role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to take ownership of API integrations and collaborate within cross-functional teams. The focus on 'clean backend-frontend communication' and 'strict version control' suggests attention to operational best practices. However, without specific psychometric or English test scores, a detailed assessment of soft skills and operational fit is limited.