← Back to cohort

Zainab Shah

FAST · 2024
Email
go2zainab@gmail.com
Phone
03316122294
LinkedIn
https://www.linkedin.com/in/zainab-shah-5b2b85206
GitHub

Academic

Program
CGPA
Year
2024
Education
Address
DOB

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 Shah
03316122294
House 16, Street 109, Sector B, DHA Phase 3, Islamabad
LinkedIn:
Education
FAST NUCES
BS(AI)
Computer Vision, NLP, Machine/Deep Learning
Westminster Academy Islamabad
Mathematics, Physics, Chemistry
Westminster Academy Islamabad
Mathematics, Physics, Chemistry
Projects
Final Project:
AutoCruiter (Langchain, Django, MySQL, Node JS, OpenCV)
A web application automating recruitment through CV shortlisting, personalized interview question generation, and
automated interviews.
Semester Projects:
Knowledge Grounded Voice-bot (Langchain, Silero, PyAudio)
Developed a voice-enabled chatbot using LLM and curated data of Daraz.
PictureSays (Transformers Encoder-Decoder Model, Keras)
Used transformers and various image processing techniques to caption images.
Meme Sentiment Analysis (Pytorch, Neural Networks)
Used neural networks to classify the sentiment of memes based on multiple labels.
MLOps focused CI/CD pipeline (Docker, Jenkins, Github Actions, DVC, Apache Airflow)
Implemented a complete CI/CD pipeline on an AI-based project.
Multimodal Emotion Detection (facenet_pytorch, transformers, moviepy, torchaudio)
Performed emotion detection using three modalities, visual, audio and textual.
Work Experience
AI Engineer, Originatorz
June 2023 - March 2024
Develop end-to-end AI powered solutions for enterprises, leveraging full-stack expertise.
AI Intern, Musketeers Tech Pvt. Ltd.
June 2023 - August 2023
Collaborated on AI-based tasks such as causal language models, emotion detection and chatbot creation.
IT Intern, Telenor Global Shared Services
July 2022 - August 2022
Worked on ERP Systems and automations as well as conducting data extractions.
Skills & Tools
Professional Skills:
Communication & Collaboration, Leadership, Problem Solving
Technical Skills:
Languages: Python, C++, SQL, HTML & Java, Data Curation , Django, CI/CD Pipeline
Achievements
Runner Up in the Women's Online Safety Hackathon 2021 held by Women Techmakers, GDG Islamabad.
2nd Runner Up in a tech-based ideathon held by GDSC FAST, Ministry of IT & PSEB.
Training / Certification
AWS Cloud Practitioner (certification in progress)
Activities
Head Events in Women-in-Tech - GDSC FAST.
Secretary of Conventional Arts - FAST Society of Arts.
Volunteered at a medical camp  and as a volunteer teacher at a slum school.
Interests
Event Management, Debates, Travelling
go2zainab@gmail.com
https://www.linkedin.com/in/zainab-shah-5b2b85206
Majors:
Cambridge International A levels (
)
Cambridge International O levels (
)

AI enrichment

Zainab Shah is an AI Engineer with a BS in Artificial Intelligence and experience developing end-to-end AI solutions, including LLM-based applications and multimodal systems. She possesses a strong technical background in Python, deep learning frameworks, and MLOps practices, supported by relevant internship and full-time work experience.
Skills (AI)
["Python", "C++", "SQL", "Java", "Django", "Node.js", "Langchain", "OpenCV", "PyTorch", "TensorFlow/Keras", "Transformers", "Docker", "Jenkins", "GitHub Actions", "DVC", "Apache Airflow", "Computer Vision", "NLP", "Machine Learning", "Deep Learning"]
Status: ai_done
Provenance
Source file:
Created: 1777723988