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Zainab Athar

NUST · 2022

zasha325@gmail.com

Phone

03104416786

https://www.linkedin.com/in/zainab-athar-21a088254/

GitHub

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Academic

Program

Bachelors of Software Engineering

CGPA

3.5

Year

2022

Education

School of Electrical Engineering and Computer Science

Address

FLAT 7-B,CSD COMPLEX FLATS, TAMIZUDDIN ROAD, RAWALPINDI , Flat b,block 7 , Rawalpindi , Pakistan

DOB

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Career

Current role

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Target role

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Skills

C++, SWE-Factory, Multi-SWE Bench, SWE-Bench, GitHub, simdjson, fmtlib, Entity Extraction, Relation Extraction, Knowledge Graph, LLMs, Large Language Models, Conversational Workflows, Prompt Engineering, Web Application Security, CSRF, Flowise, LangChain, Prompt-chaining, LLM Pipelines, AI-driven Applications, Forensic Analysis, Tampering Detection, Fake News Detection, Voice Identification, Handwriting Analysis

Interests / quote

Please update objective section.

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.

Zainab Athar
Cell: 03104416786 | Email: zasha325@gmail.com
LinkedIn: https://www.linkedin.com/in/zainab-athar-21a088254/
Address: FLAT 7-B,CSD COMPLEX FLATS, TAMIZUDDIN ROAD, RAWALPINDI , Flat b,block 7 , Rawalpindi , Pakistan
PROFESSIONAL PROFILE
Please update objective section.
EDUCATION
Bachelors of Software Engineering
School of Electrical Engineering and Computer Science , Islamabad , 3.5 (2022)
INTERNSHIP EXPERIENCE
Skylabs AI
01-Jul-2025 - 31-Aug-2025
Developed an automated evaluation pipeline for C++ by designing a hybrid framework combining SWE-Factory and Multi-SWE
Bench. Focused on building a SWE-Bench for C++ to enable accurate and domain-appropriate golden patch generation for GitHub
repositories. Tested the pipeline on multiple repositories including simdjson and fmtlib.
Zhejiang University, China
31-Jul-2025 - 31-Aug-2025
Worked on automated entity and relation extraction for constructing subject–predicate–object triples. Utilized vertical- domain
Englishand Chinesedatasetsincluding CHIP-20 and ReTACRED. Designed and planned a domain-speciﬁc pipeline, experimenting
with preprocessing strategies and model architectures to improve Knowledge Graph construction
Ayla
01-Oct-2024 - 30-Nov-2024
Developed an AI-assisted product to support patients with mild cognitive impairment. Designed conversational workﬂows using Large
Language Models to aid memory recall and daily task assistance, integrating domain-speciﬁc prompts for improved usability and
patient engagement.
OffensioX
01-Aug-2024 - 30-Sep-2024
Identiﬁed and mitigated web application vulnerabilities, with a focus on preventing cross-site request forgery (CSRF) attacks.
Collaborated with the security team to test, analyze, and strengthen application defenses against common exploit patterns.
DataQuartz
01-May-2024 - 23-Aug-2024
Contributed to the development of QuartzGPT by integrating Large Language Models with Flowise and LangChain. As- sisted in
building prompt-chaining workﬂows, orchestrating LLM pipelines, and enhancing system performance for inter- active AI-driven
applications.
FINAL YEAR PROJECT
AI-Assisted Forensic Analysis System for Decision Support
The proposed system is designed to support legal experts by automating complex data analysis tasks, thereby reducing the risk of
human error while ensuring that ﬁnal decisions remain under human control and aligned with legal and ethical standards. Potential
features include tampering detection in images and videos, fake news detection with citations and corrections, voice identiﬁcation
with conﬁdence scores and transcriptions, and handwriting analysis to identify authorship. All outputs must be explainable, auditable,

AI enrichment

Zainab Athar is a Software Engineering graduate with a 3.5 CGPA and extensive internship experience in AI, LLM integration, and cybersecurity. She has developed automated evaluation pipelines, knowledge graph extraction systems, and AI-assisted applications using frameworks like LangChain and Flowise.

Skills (AI)

["Python", "C++", "Large Language Models (LLMs)", "LangChain", "Flowise", "Knowledge Graph Construction", "Web Security", "CSRF Mitigation", "Prompt Engineering", "AI Pipeline Development"]

Status: ai_done

Provenance

Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 3
Created: 1778138736