Maheen Akhtar Khan

PROFESSIONAL PROFILE I am a Software Engineer with a strong focus on backend and platform engineering, experienced in building, operating, and scaling production systems used by thousands of real users. Currently, I work as a Software Engineer at Pam, a voice AI platform serving over 5,000 users across 500+ US-based auto dealerships, where I contribute to the development of customer-facing dashboards, backend services, and AI-driven workflows that power critical business operations. My technical background spans JavaScript, TypeScript, C++, SQL, and Python, with hands-on experience using modern frameworks and tools such as React, Next.js, Node.js, Express, AWS (Lambda, DynamoDB), MongoDB, Firebase, and cloud-based deployment platforms. I regularly work across the full stack, with a particular emphasis on backend logic, system reliability, and building flexible, configuration-driven features that support evolving product requirements. I am comfortable owning features from requirements through deployment, while also supporting live systems by debugging issues, improving existing functionality, and collaborating closely with product and operations teams. Alongside my industry experience, I have a strong interest in AI and LLM-powered systems. Through both professional and academic projects, I have worked with LLM integrations, prompt engineering, and task-specific model tuning to enhance automation, content generation, and user interactions. My Final Year Project, CyberShield, reflects this intersection of systems engineering and AI, combining a scalable web platform with simulated phishing, risk analysis, and AI-assisted components to address real-world cybersecurity challenges. I am currently completing my Bachelor’s degree in Software Engineering at NUST, where I have built a solid foundation in data structures, databases, cloud computing, and software design. I thrive in fast-paced, ambiguous environments, value clean and maintainable systems, and am motivated by building products that deliver measurable, real-world impact. EDUCATION BE Software Engineering (Bachelors in Software Engineering) NUST School of Electrical Engineering and Computer Science (NUST-SEECS) , Islamabad , 3.3 (2026) INTERNSHIP EXPERIENCE PAM 01-Oct-2024 - 24-Jan-2026 • Developed, deployed, and maintained key features on the admin dashboard (website / dashboard), which serves over 5,000+ users and 500+ US-based auto dealerships. • Designed and implemented new platform features enabling dynamic configuration of system behavior, taking them from requirements through deployment to support more flexible workflows. • Collaborated with a cross- functional, asynchronous team, with a main focus on frontend development utilizing React/Next/TypeScript/Mantine UI/Chakra UI, and backend development utilizing Node/AWS DynamoDB/AWS Lambda/Retell AI • Engineered an internal tool to streamline the onboarding process, significantly reducing onboarding time by leveraging a React frontend and Node/AWS backend • Contributed to the support team by troubleshooting issues, refining existing features, and developing custom solutions to meet customer needs HEADSTARTER AI 01-Jul-2024 - 01-Sep-2024 • Built 9 AI projects, with the goal of achieving a sizeable amount of active users on the final project • Collaborated with a team of 3 fellows, with a main focus on frontend development utilizing React/Next/TypeScript/Tailwind/Shadcn UI, and backend development utilizing Node/Firebase/Mongo/Prisma/PostgreSQL/GraphQL/Pinecone/AWS • Worked with fellows on API development & various APIs such as Gemini API/Groq API/LiveBlocks API/Scraper API/IBM Connect API

I am a Software Engineer with a strong focus on backend and platform engineering, experienced in building, operating, and scaling production systems used by thousands of real users. Currently, I work as a Software Engineer at Pam, a voice AI platform serving over 5,000 users across 500+ US-based auto dealerships, where I contribute to the development of customer-facing dashboards, backend services, and AI-driven workflows that power critical business operations. My technical background spans JavaScript, TypeScript, C++, SQL, and Python, with hands-on experience using modern frameworks and tools such as React, Next.js, Node.js, Express, AWS (Lambda, DynamoDB), MongoDB, Firebase, and cloud-based deployment platforms. I regularly work across the full stack, with a particular emphasis on backend logic, system reliability, and building flexible, configuration-driven features that support evolving product requirements. I am comfortable owning features from requirements through deployment, while also supporting live systems by debugging issues, improving existing functionality, and collaborating closely with product and operations teams. Alongside my industry experience, I have a strong interest in AI and LLM-powered systems. Through both professional and academic projects, I have worked with LLM integrations, prompt engineering, and task-specific model tuning to enhance automation, content generation, and user interactions. My Final Year Project, CyberShield, reflects this intersection of systems engineering and AI, combining a scalable web platform with simulated phishing, risk analysis, and AI-assisted components to address real-world cybersecurity challenges. I am currently completing my Bachelor’s degree in Software Engineering at NUST, where I have built a solid foundation in data structures, databases, cloud computing, and software design. I thrive in fast-paced, ambiguous environments, value clean and maintainable systems, and am motivated by building products that deliver measurable, real-world impact.