Syed Haider Naqvi

Academic

Verbatim text

Syed Haider Naqvi
+923355824715, haidernaqvi81@gmail.com
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DHA 1, Rawalpindi
Linkedln: https://www.linkedin.com/in/haider-naqvi-577852248/
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Education
Bachelor of Science (Computer Science)
Major:
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ata Science, Deep Learning, Data Analytics, Data Visualization, Datamining, Machine Learning
nd Software Project Management & Engineering.
Roots IVY Westridge
A levels {Phvsics Chemistrv. Mathematics Economics)
Roots IVY Westridge
D levels (Physics, Chemistry, Computer Science, Mathematics, Economics, Accounting)
Projects
inal Proiect: AutoMorph: Using Diffusion Models for synthetic driver scenario generation [Torch, Diffusers
>emester Proiects:
Air Quality Index (AQI) Prediction System [DVC, Mlflow, FastAPI, Github, Docker, Python]:
Developed an end-to-end MLOps pipeline to monitor real-time environmental data and predict AQI.
Neural Network-based OS Simulation [C++, Linux, Multi-threading]:
NN with backpropagation using processes for layers, threads for neurons, and IPC via pipes for parallel processing.
Automated Glaucoma Detection [Deep Learning, Image Segmentation]:
Built an ODC segmentation model using CNN/U-Net to detect glaucoma via cup-to-disc ratio on retinal images.
Network Infrastructure Design & Configuration [CISCO Packet Tracer]:
mplemented OSPF, EIGRP, RIP with redistribution, VLSM subnetting, DHCP, NAT, and ACLs in a complex topology.
AST Academic Management System [ASP.NET, SQL, C#, CSS, and HTML]:
Developed a full-stack academic management system replicating the frontend and backend of FLEX.
)DA Project [Javascript, SQL, CSS, HTML] :
Performed ETL (Extract, Transform, Load) techniques on Stock Exchange data.
Work Experience
Deep Learning Engineer, Motive
Mar 2024 - Mar 2025
: urrently working on an exciting project that leverages diffusion models to generate
synthetic data for dataset enrichment.
Skills & Tools
Professional Skills
eadership, Interpersonal Skills Communication.
Technical Skills
TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers, BERT, GPT, TS, Word2Vec, GloVe,
astText, Image Classification, Object Detection, Semantic Segmentation, Named Entity
Recognition, Sentiment Analysis, Transfer Learning, Fine-tuning, GANs, VAEs, Attention
Achievements
II.warded with Scholarship of no tuition fee in A Levels, Deep Learning Specialization, AWS Cloud Practitioner
Trainings/ Certification
Participated in Google's TensorFlow Developer certification training program
l\ttended technical seminar on "Transformer Models in NLP" led by industry experts
Participated in PyTorch workshop focused on implementing GANs for image generation
Worked as teaching assistant for undergraduate Deeo Learning laboratorv sessions
Activities
ead Workshops GDSC 2023-2024
'nterests
Playing Strategy games, Reading motivational books
FAST NUCES ISLAMABAD CAMPUS

AI enrichment