Feedbird

I am the first programmer, salesperson, and marketer of Feedbird. This is an exciting rollercoaster. Learning a lot of things, and improving a lot.

Founder

Calculate Data

➡ Managed a team of highly enthusiastic AI engineers.
➡ Developed a tool for football analytics in broadcast video, player, and ball detection using YoloV7 
      and YoloX respectively. Camera view translation using Siamese Network and FLANN.
➡ Developed a traffic analytics (Trafflytic)tool with backend functionality, data collection, cleansing, and 
      wrangling and training YoloV7model with Strong Sort tracking.
➡ Interacted with customers to collect and finalize requirements and on-time delivery.

Technical Director

Turing.com

I am a vetted Turing computer vision and data scientist, can't share much about work here. DM me for more info 😅😅😅

Data Scientist

IDWise

➡ Worked under the leadership of Facebook/Meta based computer vision engineer. 
➡ Deployed a labeling server on AWS EC2 to collect data for information extraction from unstructured documents. 
➡ Trained a LayoutLM-V2 model on unstructured documents such as passports, id-cards, etc. of different countries.
➡ Hands-on experience in training a Tesseract OCR model.
➡ Trained Tesseract model to recognize Urdu Nastaliq Font - cursed font.
➡ Designed many validators to confirm information extracted from Pakistan id-card.
➡ Designed a library for Urdu data augmentation.

Senior Computer Vision Consultant

AGriTechCo

➡ Developing and designing machine learning models. (https://infarmer.io)
➡ AWS Lambda architecture development and deployment.
➡ Deployed AWS lambda using Github actions
➡ Designing and deploying docker solutions.
➡ Deployed docker on ECS using github actions
➡ ERA5 rain data analysis and forecasting.
➡ Developed APIs on Flask.
➡ Create innovative solutions to meet the technical requirements.
➡ Participate in the development of documentation.
➡ Support the Agile software development lifecycle.
➡ Communicate key project data to team members and build team cohesion and effectiveness.
➡ Experience visualizing/presenting data for stakeholders.

Senior Data Scientist

Visionet Systems Inc.

➡ Exploratory data analysis to drive data insights and engineering data, which included acquiring, cleaning, and transforming big datasets from multiple sources and creating dynamic input features for the model prediction.
➡ Designed and built XGBoost models to predict a given problem using the NLP method for feature engineering.
➡ Deployed different techniques to optimize model performance, including Beysian grid search and recall maximization.
➡ Created SQL query to enhance the report on quality metrics for the Talent Analytics Team and automated reporting from the database using power data.
➡ Assisting with the creation of advanced chart visualizations in Power BI—such as dual axis, box plots, bullet graphs, treemaps, bubble charts, and waterfall charts—to solve complex problems and to create interactive dashboards and visualizations to provide visualized reporting to clients for decision making.

AI Consultant

Zeroz AI

➡ Led multiple projects related to Computer Vision, Natural Language Processing (NLP), and Data Analytics.
➡ Led a team of multiple people for the Machine Learning Project. Completed successfully from requirement collection to delivering the product. 
➡ For Computer Vision, have worked on multiple models such as Yolo (v2, v4, v5), Faster-RCNN, RCNN, DNN, CNN, InceptionNet, MobileNet, Zero-Shot Learning, ResNet, UNet, GANs, etc.
Developed a Semantic Segmentation labeling Tool using ResNet 50 pre-trained model, Tool automatically learns on-the-go and recommends labels to its users.
➡ Developed a system for Entity Recognition from the document, such as information retrieval from a resume.
➡ Worked on the GPT-2 model for content generation for Search Engine Optimization (SEO), given a title and keyword, models had to generate content of the specified length.
➡ Developed an API that uses deep models to find the match of products from different eCommerce platforms such as Amazon, eBay, Ali Express. This API uses visual and textual features for comparison. The main challenge in this API was retrieval, and had to find a similar product from millions of other products.
➡ Have collected the dataset related to furniture with multiple attributes such as price range, type of furniture, wood quality, etc. This dataset is publicly available upon request. The size of the dataset is more than 900 GBs of images.
➡ Trained Faster-RCNN and Yolo models for Arial Semantic Segmentation.
Image Style transfer using GAN.
➡ Developed and designed Encoder-Decoder model from scratch for Anomaly Detection in the numerical dataset.
➡ For Natural Language Processing, I have worked on GPT-2, LSTM, Bert, Entity Recognizer model, Word2Vac, CNN based language model etc.
➡ Had worked with the docker to deploy a deep model with its environment on a server to remove the OS dependency. This is the easiest way to work in a multi-developer environment.

Senior Machine Learning Developer

Kitware Inc.

➡️ Led Machine Learning Team for the product development, which explained the Root Cause Analysis of clinical quality measures (CQMs) . The product was presented in ACO Summits.
➡️ Emotion detection using very little data. Used a pre-trained model to extract features and trained the head of the model to obtain results, multiple models were tested such as zero-shot learning, UNet, and Convolutional Neural Network.
➡️ Have used the Transfer learning and Active learning approaches in my projects for improved results.
➡️ Have developed a deep-learning based Long-Short Term Memory (LSTM) model for language translation from English to Jamaican and vice versa.
➡️ Fine-tuned GPT-2 model to convert a given book to a movie script.
➡️ Developed and Design KPIs defined by the DavaCare product.
➡️ Predict the total cost incurred in a month by an Accountable Care Organization (ACO) using partial available claims information using time-series forecasting algorithms like LSTM.
➡️ Developed data cleaning and preprocessing APIs.
➡️ An active learning based pipeline for quick and robust data labeling using BERT.
➡️ Developed a Reinforcement Learning Model for the Quadcopter movement model.
➡️ Worked on Hidden Markov Model to find the pattern in the given data. 
➡️ Have worked on NN, SVM, Linear Regression, Logistic Regression, KNN, K-mean, Self Organizing Map (SOM), Random Forest, Decision Tree etc. 
➡️ Have worked on Tensorflow, Keras, Pytorch, Scipy, Numpy, Pandas, Scikit-Learn, Matplotlib, and many more.
➡️ Transform data into MySQL and apply multiple AI/ML models like Regression, Clustering, Summarize Text and Word2Vec for quantitative and qualitative analysis on pharmaceutical data to better understand the needs of targets.

Machine Learning Engineer

Noerric Technologies

➡ Upgraded existing architecture to reduce processing time from15minutes to 10 seconds.
➡ Deployed data processing architecture on AWS lambda along with automatic satellite tile fetching as soon as it was available for use.
➡ Devised routing architecture to secure lambda accessibility to the outside world.
➡ Build an automatic advisory update system to help farmers stay informed.
➡ Analyzed rain data using statistical models to find 1 in 10 event occurrences of rain and the ideal threshold value for insurance companies.
➡ Extracted seasonality of the rain to forecast future trends.

Gaper - Hire the best Remote Software Engineers | Remote American Software Developer Jobs

➡ Utilize data scraping techniques to collect job listings, candidate profiles, and relevant information from various sources, including platforms like Indeed, Glassdoor, CareerBuilder, and more.
➡ Develop AI-driven algorithms and tools to link and consolidate data from multiple job-finding platforms. Ensure data quality and consistency.
➡ Pre-process scraped data to clean, format, and structure it for analysis. This includes handling missing values and standardizing data.
➡ Apply data analysis and machine learning techniques to extract meaningful insights from job listings and candidate profiles. Identify trends, skill requirements, and industry-specific information.
➡ Implement AI-driven recommendation systems to match job seekers with suitable job listings and vice versa. Improve the recruitment process.
➡ Utilize AI and machine learning models to predict job market trends, candidate behavior, and other relevant factors for recruiting decisions.
➡ Create informative data visualizations to present insights and trends to recruiters and stakeholders. Use tools like Matplotlib, Seaborn, or Tableau.
➡ Apply NLP techniques to extract and analyze text data from job descriptions and resumes. Enhance keyword matching and skills recognition.
➡ Ensure that data handling and storage comply with privacy regulations (e.g. GDPR) and that sensitive information is protected.
➡ Stay updated on the latest trends in AI, and data science to maintain a competitive edge.

Hey there, I'm Salman - a passionate Computer Vision Engineer and Data Scientist who loves to make things happen!🤩 My mission is to create value for businesses using the latest and greatest technologies like artificial intelligence, machine learning, and deep learning.🚀

I specialize in deep learning models and have honed my skills in training, validating, and testing models using cutting-edge deployment platforms like Flask, Django, AWS Lambda, and Sagemaker. Using advanced techniques like active learning and transfer learning, I've achieved amazing results for my clients. My goal is to help businesses unleash the full power of AI technologies and exceed their wildest expectations!

I also have an in-depth understanding of standalone data analytics platforms like Knime and PowerBI, and I use the newest Python libraries to deliver actionable insights that help businesses make informed decisions. My sole focus is always on creating exceptional value for my clients, and I'm fully committed to delivering results that help businesses thrive.

If you're looking for a passionate, experienced, and dedicated Computer Vision Engineer and Data Scientist, then look no further! Let's collaborate and work together to achieve your business goals, and unlock the full potential of AI technologies to drive your business forward.🤝

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