Farid Ullah Email and Phone Number
I am Farid Ullah, a passionate and skilled AI and Machine Learning Engineer with expertise in designing and deploying solutions using state-of-the-art technologies. My experience spans various domains including LLM chatbots, database agents, NLP, computer vision, predictive analytics, and cloud services such as Azure and AWS. I enjoy solving complex problems through innovative approaches and have a track record of success in both individual and team-based projects.Expertise Areas:Machine LearningDeveloped and trained models for Natural Language Processing (NLP), computer vision, and predictive analytics.Leveraged Keras models and converted them to ONNX format for efficiency and faster predictions.Fine-tuned pretrained models such as BERT and Flan-T5 for various downstream tasks.Experienced with deploying web applications and APIs on AWS EC2 instances, along with assigning elastic IPs and domain mapping.Containerized applications using Docker for scalable deployment.Python FrameworksProficient in using Python frameworks like FastAPI, Django, and Flask for building and deploying web applications and APIs.Integrated AI models into web services and developed APIs for ML models, including neural network training and deployment.Cloud TechnologiesWorked extensively with Azure Cloud Machine Learning services and AWS services such as S3, Lambda, API Gateway, and ECR.Proficient in using Anthropic LLM models for large-scale language model applications.NVIDIA DeepStreamDeployed DeepStream applications on Jetson AGX Xavier and desktop environments.Installed the DeepStream SDK and NVIDIA TAO toolkit, trained custom object detection models, and tested them on DeepStream apps.Automated system processes using cron jobs for efficient application management.Web DevelopmentBuilt and deployed web applications using Django, Flask, and FastAPI frameworks, integrating AI models into functional web services.Data AnalyticsSkilled in data analysis, visualization, and storytelling to derive actionable insights from data.Strong background in predictive analytics and developing strategies for data-driven decision-making.
Northbay Solutions
View- Website:
- northbaysolutions.com
- Employees:
- 395
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Principal Software Engineer (Ai Engineer And Data Scientist )Northbay SolutionsIslamabad, Pk
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Principal Ai EngineerNorthbay Solutions Jun 2024 - PresentIslamabad, Islāmābād, Pakistan📗 Project: Intelligize's AI AppsOverview: Developed AI-driven applications for Intelligize, focused on providing specialized search and chatbot capabilities.Accounting Standards: Implemented a Q&A-based search and chatbot for Accounting Standard Codification.SEC Regulations: Created an app to answer questions related to SEC regulations.Impact: Enhanced user access to complex accounting and regulatory information through AI-powered tools.
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Ai EngineerMobiz Dec 2023 - Jun 2024Park Road Office No: 302 It Capital Technology Park Near Comsat University Islamabad📗 Project: Knowledge BotOverview: Developed a Knowledge Bot using Retrieval-Augmented Generation (RAG) for streamlined access to organizational documents, featuring DocuTalk and MentorMind.DocuTalk: Handles general, HR, and sales queries specific to user needs.MentorMind: Provides advanced mentoring for internal support.Architecture: Utilized Azure services (OpenAI, Cognitive Search, Redis, MS SQL, App Service, AD, Logic App, Function, Blob Storage), FastAPI backend, Next.js frontend, and SharePoint for document hosting.Impact: Enhanced organizational knowledge management through advanced AI and cloud integration.📗 Project: SQL Hybrid AgentOverview: Created an AI-powered agent for interactive MS SQL query creation and execution.Features: Utilizes LangChain for query generation, supports multiple query chains, and integrates with Microsoft Teams via Copilot.Backend: Developed with FastAPI, integrated with Azure Power Automate for workflow automation.Optimization: PTU-enabled models reduce latency and enhance performance.Impact: Streamlined database interactions and workflow automation with AI integration.📗 Project: DGX API DeploymentOverview: Implemented a deployment pipeline for DGX clusters, integrating SonarQube for code quality checks and Docker health checks.Deployment: Automated deployment to Nvidia NGC repo upon successful checks.Monitoring: Included GPU usage tracking, telemetry data, logs, and job creation on DGX clusters.Impact: Ensured robust, automated deployment and monitoring on high-performance computing environments. -
Senior Machine Learning EngineerToktoai Nov 2020 - Nov 2023Nstp Nust Islamabad📗 Machine Learning Models✏️Trained models including LSTM, RNN, BILSTM, Transformers, USE, DistilBert, SentBert.✏️Integrated SentBert and DistilBert as embedding layers in TensorFlow deep learning models.✏️Implemented models like Random Forest, XGBoost, LightGBM, SVM, Logistic Regression, Linear Regression.📗 Project: Real-Time Safety MonitoringOverview: A computer vision project deployed on Nvidia Jetson AGX Xavier, providing real-time inference over a LAN connection.Deployment: Integrated YOLOv4 with DeepStream Python applications for monitoring safety on construction sites.Real-Time Monitoring: Achieved impressive real-time inference for detecting helmets, balcony placement, and safety conditions.📗 Project: AI RecruiterOverview: Developed to enhance the recruitment process by leveraging advanced AI models and cloud-based infrastructure.LLM Integration: Utilized ChatGPT 3.5-turbo alongside NER pre-trained models for extracting and analyzing resume details.Custom Algorithms: Applied weights based on experience, job title, location, and skills, followed by a reranking algorithm to prioritize candidates.Semantic Similarity: Employed ONNX embedding models to assess semantic similarity between job requirements and candidate profiles.Cloud Infrastructure: Deployed using AWS services, including S3 for storage, API Gateway, Lambda functions, Step Functions for orchestration, and ECR for container management.Impact: Provided a sophisticated, AI-driven solution for more accurate and efficient candidate selection, enhancing the capabilities of recruitment agencies.Chatbots Development✏️ Proficient in developing Chatbot applications using TensorFlow and LLMs.API Development✏️Created APIs using Flask, FastAPI, and Django.✏️Conducted remote testing of APIs using Ngrok and Postman.✏️Deployed web applications on AWS EC2 instances.✏️Utilized Gunicorn + Nginx server with automated restart configurations. -
Learned Materials Related To Data Scientist / Data AnalystPiaic Dec 2019 - Dec 2021Islāmābād, PakistanCompleted All road maps and achieved AI certificate From PIAIC- Python from basic to advance ( Used different platforms )- Deep Learning with Python ( book )- Hands-on Practice with Data Analysis with Python ( book ).- Learn Amazon Sage Maker ( book )- Docker basic ( book )- Linux Basic Command ( book )- Git ( version control ) - Hands-on Practice with Tensorflow and computer vision ( book ) -
Machine Learning EngineerExperts Vision Engineering And Technology Innovations (Pvt.) Ltd. Sep 2018 - Oct 2020📗 Project: TalentMatch AIOverview: Designed to assist recruitment agencies in shortlisting candidates by extracting key information from resumes.NLP Models: Utilized custom-trained models on a proprietary dataset for various downstream tasks.Hybrid Approach: Employed a combination of models to enhance accuracy in resume analysis.NER Integration: Extracted details such as job title, experience, location, and skills using custom-trained Named Entity Recognition (NER) models.Collaboration: Worked within a team, overcoming challenges and achieving significant milestones.Impact: Streamlined the candidate shortlisting process, improving the efficiency and accuracy of recruitment efforts. -
InterniExperts Vision Engineering And Technology Innovations (Pvt.) Ltd. Feb 2018 - Aug 2018PakistanPredictive AnalyticsConcepts: Understanding of predictive modeling, regression, and classification techniques.Tools: Scikit-learn for building models, Pandas for data manipulation, and Matplotlib/Seaborn for visualization.Application: Forecasting trends, customer behavior analysis, and risk assessment.2. Data PreprocessingConcepts: Data cleaning, normalization, standardization, and feature engineering.Tools: Pandas for handling missing data, Scikit-learn for scaling and encoding categorical variables.Application: Preparing raw data for model training to improve performance and accuracy.3. Model Evaluation and TuningConcepts: Cross-validation, hyperparameter tuning, model selection.Tools: Scikit-learn for GridSearchCV, RandomizedSearchCV, and cross-validation techniques.Application: Improving model accuracy by fine-tuning hyperparameters and selecting the best model.
Farid Ullah Education Details
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Information Security & Data Scence (Core Subjects ) -
Oxford Public School
Frequently Asked Questions about Farid Ullah
What company does Farid Ullah work for?
Farid Ullah works for Northbay Solutions
What is Farid Ullah's role at the current company?
Farid Ullah's current role is Principal Software Engineer (AI Engineer and Data Scientist ).
What schools did Farid Ullah attend?
Farid Ullah attended Piaic, Riphah International University, University Of Azad Jammu And Kashmir, Oxford Public School.
Who are Farid Ullah's colleagues?
Farid Ullah's colleagues are Awais Khurshed, Mudassar Hasnain, Muhammad Arslan Hassan, Hamza Akbar, Majid Javed, Abdul Wadood Baig, Qamar Zaman.
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Farid Ullah
Comsats Institute Of Information And Technology.... Talk About Health, Safety And Environment, It, Gis Mapping,Abbottabad District -
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Farid Ullah
Full-Stack Engineer | Aws Enthusiast | Building Scalable Solutions On Aws CloudIslāmābād, Pakistan -
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