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Maheen Akhtar Khan

NUST · 2026
Email
pakhtar635@gmail.com
Phone
9710506086139
LinkedIn
https://www.linkedin.com/in/maheen-akhtar-khan-377082267/
GitHub

Academic

Program
BE Software Engineering
CGPA
3.3
Year
2026
Education
NUST School of Electrical Engineering and Computer Science (NUST-SEECS)
Address
Abu dhabi
DOB

Career

Current role
Software Engineer at Pam
Target role
Skills
JavaScript, TypeScript, C++, SQL, Python, React, Next.js, Node.js, Express, AWS, Lambda, DynamoDB, MongoDB, Firebase, LLM, Prompt Engineering, System Reliability, Backend Development, Frontend Development, Mantine UI, Chakra UI, Tailwind, Shadcn UI, Prisma, PostgreSQL, GraphQL, Pinecone, Gemini API, Groq API, LiveBlocks API, Scraper API, IBM Connect API, Retell AI

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Maheen Akhtar Khan
Cell: 9710506086139 |  Email: pakhtar635@gmail.com
LinkedIn: https://www.linkedin.com/in/maheen-akhtar-khan-377082267/
Address: Khalidiya Tower B , Al bateen w10 , Abu dhabi , Pakistan
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

AI enrichment

Maheen Akhtar Khan is a final-year Software Engineering student with internship experience at Pam and Headstarter AI, focusing on full-stack development and AI integration. She has built scalable backend services and frontend dashboards using React, Node.js, and AWS, while also working on LLM-powered systems and cybersecurity projects.
Skills (AI)
["JavaScript", "TypeScript", "React", "Next.js", "Node.js", "Express", "AWS (Lambda, DynamoDB)", "Python", "C++", "SQL", "MongoDB", "Firebase", "LLM Integration", "Prompt Engineering", "System Design"]
Status: ai_done
Provenance
Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 115
Created: 1778138737