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Faisal Mehmood
@faisalmehmoodsh
Level 2
Data Scientist, AI and ML
Pakistan
Inglese
Chi sono
Full-Stack AI/ML Engineer and Data Scientist with 10+ years of experience in software development, AI, and automation. Skilled in Python, React, Django, Java, C++, Machine Learning, Deep Learning, LLMs, RAG, NLP, and Computer Vision. Experienced in TensorFlow, PyTorch, Scikit-learn, Keras, MLOps, APIs, Docker, CI/CD, AWS, Azure, and GCP. Expertise in quantitative and qualitative analysis using NVivo, ATLAS.ti, and statistical tools. Specialized in AI applications, speech transcription, speaker diarization, and scalable, production-ready software solutions.
Competenze
Faisal Mehmood
7 USD/ora
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
visione artificiale
I will do data science, machine learning, computer vision, python ai evaluation
Ricerca e riassunti
I will do professional copy writing for business content
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Spiega a Faisal Mehmood cosa ti serve.
7 USD
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oraPortfolio
Esperienza lavorativa
Full-Stack Developer & Data Science Engineer
Perspective Policy Research Institute • Lavoratore autonomo
Aug 2024 - Present • 2 yrs 3 mos
Designed and developed the PPRII research website and its supporting backend, database, and data analytics functionality. Combined full-stack web development with Python-based data science, time series analysis, predictive analytics, and research visualization. Developed the website's frontend interface, backend functionality, database integration, and data management workflows. Integrated MongoDB to store, retrieve, manage, and query research datasets and application information. Built Python-based workflows for data cleaning, preprocessing, transformation, statistical analysis, and historical trend evaluation. Performed time series analysis and predictive modeling to identify patterns, relationships, and changes in research indicators. Integrated Grafana dashboards to visualize historical data, predictive analysis results, statistical indicators, and research trends. Connected database-driven analytical workflows with interactive dashboards to support research reporting and evidence-based decision-making. Worked on backend integration, database queries, website functionality, testing, and performance improvements. Technologies and Skills: Full-Stack Development, Python, MongoDB, Grafana, Time Series Analysis, Predictive Analytics, Data Science, Statistical Analysis, Database Integration, Data Visualization, Dashboard Development.
Self Employed
Freelance • 2 mos
Computer Vision Engineer — Visual SLAM & Feature Matching System
Aug 2026 - Sep 2026 • 1 mo
Project: Visual SLAM and Computer Vision Performance Evaluation Developed a Python-based computer vision experimental workflow for evaluating visual SLAM, feature matching, trajectory estimation, and tracking performance. Worked with ORB feature extraction and RANSAC-based geometric filtering to investigate image feature matching under different parameter settings. Evaluated how RANSAC thresholds and ORB feature counts affect tracking performance and computational efficiency. Analyzed trajectory estimation error, feature matching quality, inlier counts, and tracking success rates. Developed reproducible experiments and generated visualizations showing trajectory error versus RANSAC threshold, tracking success rate, estimated FPS, and accuracy-speed trade-offs. Compared original research results with reproduced experimental outputs and documented the observed differences. Organized experimental results into CSV datasets, comparison tables, performance graphs, and technical reports. Technologies: Python, OpenCV, Computer Vision, Visual SLAM, ORB, RANSAC, Feature Matching, Image Processing, Performance Evaluation, Data Visualization.
AI Backend Engineer — Image Processing & Cloud Storage System
Jun 2026 - Jul 2026 • 1 mo
Project: AI Image Processing Backend with FastAPI, PyTorch and Amazon S3 Developed a Python-based backend for an AI image-processing application, combining deep learning model integration with cloud file storage and API services. Integrated a trained UNet++ image segmentation model into the backend processing workflow. Worked with PyTorch model loading and inference-related application components. Developed FastAPI endpoints for application integration, file handling, and backend operations. Implemented Amazon S3 file upload functionality using boto3 and user-specific storage paths. Designed user-based file organization using S3 object prefixes to separate uploaded content. Worked with Amazon S3 Access Points and IAM permissions for controlled file access. Implemented and investigated presigned URL functionality for accessing files stored in S3. Integrated PostgreSQL database connectivity and prepared the backend for containerized AWS deployment. Technologies: Python, FastAPI, PyTorch, UNet++, Image Segmentation, Amazon S3, boto3, AWS IAM, PostgreSQL, Docker, REST APIs.
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Valutazione dettagliata
- Livello di comunicazione del venditore
- Qualità della consegna
- Valore della consegna
1-5 di 274 recensioni
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Più rilevante
user77932772
Germania
Collaborazione in corso
He was super cooperative and helpful and had a great understanding of the project. I would 100% recommend him to everybody.
Utile?
drv2024
Stati Uniti
Collaborazione in corso
Faisal does AMAZING work. This is my third or fourth time utilizing his services. Great job as always!
Utile?
nonnyanalyst
Nigeria
Working with Faisal was fantastic. He pays great attention to detail, takes feedback exceptionally well, and approaches projects as a true partner. Highly recommended!
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shera123
Marocco
Collaborazione in corso
Professionalism of work, Attention to details, Went above and beyond and Quick responsiveness.
Utile?
nazmulhassan601
Irlanda
Collaborazione in corso
Utile?
