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Nabeel R. - Flask Developer, React Native, nextjs

My name is Nabeel R. and I have over 7 years years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Natural Language Processing, Python, PyTorch, Machine Learning, etc.. I hold a degree in Master of Science (MS). Some of the notable projects I’ve worked on include: NLP Summarization, Sentiment analysis and deep analysis Platform, Face recognition using one shot learning, Auto Pilot social media bot using OpenAI ChatGPT & GPT4, Fine-tuning Stable Diffusion Model, Object detection on statue images, etc.. I am based in Lahore, Pakistan. I've successfully completed 16 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Flask Developer

    7 years

  • Deep Learning

    4 Years

  • Natural Language Processing

    1 Year

  • Python

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

NLP Summarization, Sentiment analysis and deep analysis Platform

Summarization you can perform your summarization with two different methods(datasets).Along with that you can do your summarization from a link or by uploading a file. Sentiment Analysis Sentiment Analysis can be done with two different methods(datasets).Along with that you can do your Analysis from a link or by uploading a file. Deep Analysis Do your Deep analysis. upload a file or provide a link.

Face recognition using one shot learning

Performed face recognition via one-shot learning in tensorflow. This system was built on top of facenet pre-trained model and had the capacity to scale up for a large number of users to be recognized in real time.

Auto Pilot social media bot using OpenAI ChatGPT & GPT4

Created a bot that scraps popular social media sites and generates posts & comments for the users. Text generation is being performed using OpenAI GPT3

Fine-tuning Stable Diffusion Model

Optimized the existing training scripts to train the Stable Diffusion on a custom dataset

Object detection on statue images

Performed object detection and classification on statues. Also performed classification of statues into different categories. The model was built using Detectron2 and yolov4.

Education

  • ITU, Lahore

    Master of Science (MS) in Data Science

    2018-01-01-2020-01-01

Languages

  • English