Akbar Awais

Software Engineer at Dassault Systèmes with 4 years of experience building enterprise-scale React applications, REST APIs, and AI-powered features for procurement platforms.

Delivered measurable impact: reduced page load time by ~4 seconds through frontend optimization, cut deployment time by 93% through automation engineering, and integrated AI/LLM tools (OpenAI, LangChain) into production workflows. Recognized with multiple performance awards including the "Genius" Award.

Software Engineering Specialist at Dassault Systèmes (2022-10 – Present)

• Reduced page load time by ~4 seconds by implementing memoization, lazy loading, and code splitting across the frontend, significantly improving application responsiveness and user experience.
• Engineered RELWS, a single-command VM automation workflow for build, patching, deployment, and log access — reduced UI/JAR patching time by ~93% (7 min → 30 sec) and log retrieval time by ~88% (2 min → 15 sec), eliminating manual operational overhead.
• Integrated AI-assisted retrieval, summarization, and evaluation tools into enterprise RFx workflows using OpenAI and LLM pipelines, enabling users to analyze procurement data through natural-language interactions.
• Built reusable React/JavaScript component library and common implementation patterns adopted across multiple teams, reducing duplicated development effort and improving code consistency across the platform.
• Developed REST APIs and Java services for end-to-end procurement workflows, including multi-supplier RFP response publishing, with robust error handling and frontend-backend consistency.
• Delivered enterprise RFx platform features supporting supplier selection, bid evaluation, and procurement workflows, contributing to a product used by global enterprise clients.

Bachelor of Engineering in Information Science & Engineering – CMR Institute of Technology (2018 – 2022)