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Muhammad Talal

FAST · 2025

immohdtalal@gmail.com

Phone

+923053953355

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GitHub

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Academic

Program

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CGPA

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Year

2025

Education

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Address

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DOB

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Verbatim text

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I
Muhammad Talal
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+92 3053953355, immohdtalal@gmail.com
New City Phase 2, Wah Cantt
Linkedln: htt~s:Ll~k.linkedin.comfinLmuhammad-talal-84ab8b271
Github: htt~s:Lfgithub.com[mohdtalal3
Education
Bachelor of Science (Data Science) 3.58 CGPA
Major:
Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Data Base, NLP, Advance
tats, Big Data Analytics,
F.G Degree College for Men, Wah Cantt
F.Sc (Physics, Chemistry, Mathematics)
Suffah Islamic School System, Wah Cantt
Matriculation (Physics, Chemistry, Maths)
Projects
'Final Proiect: Maritime Al [scikit-learn,plotly,spark,mongo-db,leaflet, DL,Kafka, scrapy] [Collabrated with NESCOM]
A predictive analytics system for shipping operations using historical AIS data. Includes Al-driven anomaly detection
(illegal fishing, unusual vessel movement), real-time alerts, optimal time for deployments and geospatial dashboards.
Semester Proiects:
ManaGenie - Your Al Assistant [Python]:
Developed an Al-powered learning assistant leveraging Faiss and LangChain, rag, vectordb ,llama for intelligent PDF
processing and smarter insights.
Future Frame Prediction [Deep Learning]:
Deep learning (ConvLSTM, PredRNN, Transformers) for future video frames on UCF101, achieving 0.75 SSIM with data
preprocessing pipelines.
Assistant Broker Al [ Python,Next js, scrapy]:
Al-powered real estate tool for Dubai scraping real-time data from property websites. Features include Al chatbot for
instant queries, real-time market insights, and automated analysis with visualizations.
DailyNewsGen [Python, React, Scrapy]:
Implemented a Generative Al model for real-time news scraping and storage. Utilized Retrieval-Augmented Generation
(RAG) for dashboard-based insights and Q&A generation.
Work Experience
Generative Al & Automation Engineer I TSN, The 369 Company:
Aug 2024-Jan 2025
Al Photo Conversion: Developed an Al tool to convert photos to SVG for easy customization.
Skills & Tools
Professional Skills
Analytical Thinking, Adaptability,Leadership ,Problem-Solving
Technical Skills
Python, C++, JavaScript; Tableau, D3.js, Matplotlib, Seaborn; Scikit-learn, Keras, PyTorch,
TensorFlow; Hadoop, Kafka, MongoDB, Flask, Streamlit, Data Mining, Web Scraping, ETL
Pipelines,MLops,Devops, Scrapy, Selenium, play wright, request, bs4,langchain, openai, rag
Achievements
Bronze Medalist
::.uccessfully worked with over 100 clients over the span of 2 years
Achieved over $10K in funding/earnings working in KnevaTech (Co Founder)
Trainings I Certification
Neural Networks with PyTorch by IBM
Using Python to Access Web Data by COURSERA
Deep Learning by DeepLearning.AI
Activities
Semi-finals Cricket Tournament Nascon '22
::.emi-finals Cricket Tournament Battle of Batches '22
Interests
::.ports , E-sports , Movies
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Talal is a Data Science graduate with experience as a Generative AI and Automation Engineer, specializing in machine learning, deep learning, and web scraping. He has a track record of developing AI-driven predictive analytics systems and generative tools, supported by co-founding a startup and securing funding.

Skills (AI)

["Python", "Machine Learning", "Deep Learning", "Generative AI", "LangChain", "PyTorch", "TensorFlow", "Scikit-learn", "Web Scraping", "Scrapy", "RAG", "Kafka", "MongoDB", "Spark", "SQL", "JavaScript", "React", "Next.js", "Flask", "Streamlit"]

Status: ai_done

Provenance

Source file: —
Created: 1777724106