Full Stack Engineer with 1+ years in AI, Deep Learning & Web Development
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Assessing your cultural and operational fit
AI-focused Full Stack Software Engineer (1+ years) building production AI-driven applications and scalable backend services for SaaS platforms. Hands-on with LangChain, LangGraph, and MCP-based agentic workflows, LLM integration (GPT-40, Llama 3.1), RAG / vector search, and the full ML lifecycle – from deep learning (TensorFlow/Keras) and Apache Spark MLlib to MLflow model tracking, monitoring, and evaluation. Equally strong across the full stack – building responsive React / Next.js + TypeScript frontends backed by Node.js/NestJS and Python/FastAPI services – delivering secure, compliant, multi-tenant platforms in Agile/SAFe environments. B.S. in Data Science.
FAST National University
Bachelor of Science · Data Science
August 1, 2021 – June 30, 2025
Federal Law Enforcement
Full Stack Software Engineer
January 1, 2026 – Present
Islamabad, Islamabad Capital Territory, Pakistan
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Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI image generation and voice-to-website generators to legal RAG assistants and recommendation engines, demonstrates adaptability and a broad interest in applying technology to various domains. The experience across different company types (Federal Law Enforcement, contract roles, startups) indicates flexibility and a willingness to engage with varied organizational cultures. The target role of 'Full Stack Engineer' aligns well with the candidate's demonstrated expertise across both frontend, backend, and AI/ML aspects.
Soft Skills & Operational Fit
The candidate's resume highlights significant contributions to complex projects, indicating strong problem-solving skills and a results-oriented approach. The descriptions of reducing manual screening by 70% and estimation time by 75% suggest an ability to deliver impactful solutions. Experience in Agile/SAFe environments implies familiarity with structured development methodologies and team collaboration. The detailed technical descriptions suggest strong communication of technical concepts.