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Syed Muhammad Ammar

FAST · 2023
Email
syed.ammar.98sep@gmail.com
Phone
+923209934331
LinkedIn
https://www.linkedin.com/in/syed-muhammad-ammar-880a56187/
GitHub

Academic

Program
CGPA
Year
2023
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.
ATIONAL UNIVERSITY | lk
Syed Muhammad Ammar
+923209934331, syed.ammar.98sep@gmail.com
Chaklala Scheme - III, Rawalpindi.
LinkedIn: https://www.linkedin.com/in/syed-muhammad-ammar-880a56187/
[Education
Master of Science (Data Science) 2023
Major: Data Science
Sir Syed CASE 2020
Bachelor of Science
Major: Computer Science
Sir Syed College Rawalpindi 2016
Intermediate Pre-Engineering
APSACS Ord Rd (Boys) 2014
Matriculation (Physics, Chemistry, Biology, Math)
Research Work:
Thesis: Disaster response identification for multi-modal data using Text-Image Attention Layer Mechanism (Novel)"
In order to consume dual modality (image and text) data, simple concatenation technique is used on basis of multi-model
deep learning approach. However, simple concatenation technique does not hold all of the information and lack enrich
features which can create significant impact on training and results. The research provides a novel architecture which
comprises of transformers encoders and text-to-image attention layer. The model achieves 89% f1-score which is greater
than the state of the art result (84.2%). The research aims to contribute towards computer vision and nlp community.
Projects:
@ Developed Room detection system using YoloV5 (Pytorch) on floor plan.
@ Developed MultiGPT model uinsg LLaMA, Openflamingo and Vicuna (prompt engineering).
@ Developed custom face-net architecture (pytorch) using triplet loss function.
@ Developed multi-self-attention module for image & text using pytorch.
@ Developed AutoML (Forecasting) application using darts(framework) time series.
e@ Developed K-Means clustering algorithm for big data based on Hadoop mechanism.
@ Developed TRENDICA — Forecasting, Market-Basket Analysis & Churn-Prediction (Pyspark).
(More projects are on https://github.com/S-M-Ammar )
Work Experience
Fivver | Upwork
Data Scientiest Jan 2019 - Present
(CARE pvt Itd
Software Engineer Jul 2020 - Present
Razor Group Berlin (Remote)
Data & Automation Engineer Sep 2022 - Present
Skills & Tools
Professional Skills Team Management, Leadership, Interpersonal Skills, Communication.
Technical Skills Python, NodeJS, MongoDB, MySQL, Flask, Fast Api, Machine Learning, Pytorch, Deep Learning, Genetic
Programming, AWS, PySpark, Kafka, Hadoop, Docker, Jenkins, Mocha.js, Firebase, GitHub, C++, Scikit-
learn, Tensor-flow, JavaScript, R, Hasura, React.js, Vue.js, PostgreSQL, Golang, GitLab
Achievements
Gold Medalist in BSCS
Trainings / Certification
BM Tools for Data Science
PIAIC Artificial Intelligence
Activities / Interest
Football , Table Tennis , E-gaming , Movies / Seasons

AI enrichment

Syed Muhammad Ammar is a Data Scientist with a Master's degree in Data Science and extensive experience in machine learning, deep learning, and data engineering. He has a strong track record of developing custom AI models, including transformer-based architectures and computer vision systems, while working across multiple freelance and remote roles.
Skills (AI)
["Python", "PyTorch", "Deep Learning", "Machine Learning", "NLP", "Computer Vision", "Transformers", "PySpark", "Hadoop", "AWS", "Docker", "FastAPI", "Flask", "MongoDB", "PostgreSQL", "Kafka", "Genetic Programming", "Prompt Engineering"]
Status: ai_done
Provenance
Source file:
Created: 1777726226