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Areesha Tariq

NUST · 2026

areeshatariq4@gmail.com

Phone

0923468639864

https://www.linkedin.com/in/areesha-tariq-04525624a/

GitHub

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Academic

Program

BSCS

CGPA

2.56

Year

2026

Education

SEECS

Address

Rawalpindi, Pakistan

DOB

—

Career

Current role

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Target role

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Skills

React, TypeScript, Tailwind CSS, Node.js, Git, Docker, Vite, TensorRT, LaTeX, Mapbox, AI Deployment on Edge Devices, Deep Learning, Web Development, Drone Application Development

Verbatim text

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Areesha Tariq
Cell: 0923468639864 |  Email: areeshatariq4@gmail.com
LinkedIn: https://www.linkedin.com/in/areesha-tariq-04525624a/
Address: CARE OF M. YASEEN, 94, SHUJA ROAD, CLIFTON ALLAMACOLONY, IQBAL TOWN , Rawalpindi , Pakistan
PROFESSIONAL PROFILE
I am a Computer Science undergraduate with a keen interest in developing practical solutions that address real-world challenges
through technology. I approach problems with a structured and creative mindset, translating complex concepts into actionable, user-
focused outcomes. I have experience collaborating on multidisciplinary projects, managing end-to-end development processes, and
quickly adapting to new tools and technologies. I am particularly passionate about innovation and applying technology to create
meaningful societal and environmental impact.
EDUCATION
BSCS
SEECS , Islamabad , 2.56 (2026)
INTERNSHIP EXPERIENCE
Communication Systems and Networking (CSN) Lab
25-Jun-2025 - 25-Aug-2026
1. AI Deployment on Edge Devices: Learned how to deploy deep learning models on an NVIDIA Jetson Nano. Using TensorRT
allowed optimization of inference times and achieved better latency. This will help in wildﬁre detection for drones and ensure
operational autonomy in remote environments without cloud dependency. 2. Web Dashboard Planning: Finalized the functional
requirements and wireframing for a web dashboard. Established implementation details providing a clear development blueprint for
the team. 3. Drone Application Development: Initiated development of the drone's notiﬁcation application, starting with the Live
Satellite Map integration using Mapbox and user interface. 4. Technical Documentation: Adopted LaTeX for writing professional
research papers and technical reports to ensure clear and formal documentation of the DL models we trained and research we
conducted.
FINAL YEAR PROJECT
AI Powered Drone System for Real Time Fire Detection and Mitigation
This project addresses the problem of late wildﬁre detection and slow response in remote and hard-to-access areas. It uses AI-
powered drones with onboard edge computing to detect ﬁres early, monitor their spread, and identify trapped people or animals in
real time. Satellite data and community reports are combined through a conﬁdence system to reduce false alarms and ensure
accurate alerts. The system delivers live information through web and mobile platforms, enabling faster coordination, better decision-
making, and more effective wildfire mitigation.
TECHNICAL EXPERTISE
Full-Stack Developer
Full-Stack Developer & Tech Enthusiast with immense insterest in all forms of creative problem solving. Experienced in developing
responsive font-end applications with React, TypeScript, and Tailwind CSS, with backend development using Node.js. Skilled in
working with Git, Docker, and Vite.

AI enrichment

Areesha Tariq is a Computer Science undergraduate graduating in 2026 with a focus on full-stack development and AI deployment on edge devices. She has practical experience in building responsive web applications using React and Node.js, as well as deploying deep learning models for drone-based wildfire detection.

Skills (AI)

["React", "TypeScript", "Tailwind CSS", "Node.js", "Git", "Docker", "Vite", "TensorRT", "NVIDIA Jetson Nano", "Mapbox", "LaTeX", "Full-Stack Development", "AI Deployment"]

Status: ai_done

Provenance

Source file: SEECS - Computer Science-2026.pdf
From job #258 page 119
Created: 1778167261