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Senior AI Engineer with 7+ years of experience building production-grade AI systems, LLM applications, RAG pipelines, agentic workflows, and scalable backend platforms. Experienced with Python, LangChain, LangGraph, OpenAI, Anthropic, vector databases, cloud infrastructure, and full-stack development. Led the design and deployment of AI automation solutions, conversational agents, and enterprise-grade applications serving real-world users across multiple industries.
COMSATS University Islamabad
Bachelor of Science (BS) · Computer Science
September 14, 2015 – September 27, 2019
Cultural Fit Analysis
The candidate's experience is primarily within a single company, 'Try Soft AI', which might suggest less exposure to diverse organizational cultures. However, the progression through different roles within that company indicates adaptability and growth. The projects listed demonstrate a strong focus on practical, business-oriented AI solutions, which aligns with a results-driven culture. The breadth of technical skills (Python, Node.js, GCP, AWS, various AI/ML frameworks) suggests a willingness to learn and adapt to new technologies, which is a positive cultural indicator. The remote work experience also points to self-discipline and effective remote collaboration capabilities.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and mentoring skills, particularly in AI agent orchestration and system architecture. Their experience in reducing manual operations by up to 70% suggests a results-oriented and efficiency-focused approach. The consistent employment at 'Try Soft AI' for over 4 years, progressing from Junior ML Engineer to Senior AI Developer, indicates loyalty and growth within an organization. The focus on automation and real-time systems aligns well with an Automation Engineer role.