Hasnain Ali

Senior AI Engineer with 5+ years of experience building and deploying production-grade LLM and agentic systems end-to-end, from model development to scalable infrastructure and real-world deployment. Proven track record of delivering high-impact AI systems under pressure, including platforms handling 100K+ automated interactions and generating $2M+ annual revenue. Strong ownership mindset with experience working in fast-paced, high-intensity environments, often operating without predefined roadmaps and consistently shipping systems that exceed performance and business expectations.

Software Engineer at DEVSINC (2024-10 – Present)

• Led end-to-end design and deployment of production-grade GenAI systems (LLMs, RAG, agentic workflows) for enterprise clients, owning architecture, model strategy, backend, and infrastructure.
• Built multi-agent workflows (LangGraph) improving task completion reliability and reducing manual operations.
• Designed RAG/KAG pipelines improving factual grounding, long-context reasoning, and system reliability in production environments.
• Optimized system performance and cost through token-efficient architectures and async processing.
• Delivered systems under tight deadlines in high-pressure environments, consistently meeting or exceeding performance expectations.

Associate Software Engineer at AMROOD LABS (2024-02 – 2024-10)

• Developed and scaled Django-based backend systems for a production mobile application.
• Integrated PostgreSQL and AWS S3, improving storage efficiency and performance.
• Built OpenAI-powered legal document automation, reducing manual contract analysis effort by ~60%.
• Delivered AI-enabled features in collaboration with cross-functional teams under production constraints.

Lead Engineer at 2ndPlace (2022-01 – 2024-02)

Founded and led the development of a global travel discovery platform, driving product vision, architecture, and deployment across a full technology stack (Django backend, React frontend).

• Spearheaded design of an AI-enhanced search and recommendation system integrating geolocation, user preferences, and natural language processing to improve relevance and reduce search latency.
• Built and scaled platform infrastructure supporting 3,500+ active users and 1,200+ clients, ensuring high performance, reliability, and user growth.
• Implemented robust CI/CD pipelines and cloud deployments on AWS, ensuring efficient delivery, monitoring, and scaling of services.
• Oversaw the database and listings ecosystem of 15,000+ global travel entries, optimizing data indexing, caching, and response times for a smooth user experience.

Bachelors in Computer Science – Comsats University Islamabad (CUI)