# Yassa Fareed Yassa Fareed is a remote worker on Himalayas, AI Engineer at tappengine, based in Pakistan. Source: https://himalayas.app/@yassafareed ```text I build AI and data systems that automate workflows and turn raw data into insights. ``` | Detail | Value | | --- | --- | | Availability | Looking for a job | | Location | Pakistan | | Authorized to work in | Pakistan | | Salary expectations | 71k+ USD | | Job categories | AI Engineer, Software Engineer, Data Engineer, Data Scientist, Machine Learning Engineer, Infrastructure Engineer, Backend Web Developer, Computer Vision Engineer, Artificial Intelligence Engineer, AI ML Engineer, AI Engineering Specialist, AI Engineering, Artificial Intelligence Engineering, Python AI Engineer, AI Engineering Jobs | | Skills | Python, C++, C#, Machine Learning, Generative AI, Data Collection, Data Visualization, Cloud Data Warehousing, SQL, MySQL, PostgreSQL, AWS, AWS Lambda, Cloudwatch, EC2, Django REST Framework, Flask, Kubernetes, Terraform, Ansible, Docker, Airflow, Trino, Presto, Grafana, Kibana, Linux, Apache Superset, Web Scraping, Time Series Analysis, Computer Vision, Tensorflow Lite, MLOps, Deep Learning, IoT, YOLOv4, GitHub, Gitlab, Superset, NumPy, Pandas, Django, JSON, Loki, scikit learn, Keras, Trello, Compiled, TensorFlow, Cursor, RADIUS, ArgoCD | | Portfolio | https://github.com/YassaFareed | ## What I'm looking for ```text I'm looking to contribute to innovative AI, data, and automation projects where I can turn raw data into impactful solutions, tackle new technical challenges, and continue expanding my skills. ``` ## About ```text I'm building AI and data systems at tappengine, following software engineering work at Surmount, where I helped automate broker accounts with data-driven strategies. At SimpliFi, I worked across infrastructure and data, using Python, Kubernetes, Terraform, Docker, Trino, Airflow, Grafana, and data warehousing tools to support scalable pipelines and monitoring. At SnappRetail, I built anomaly-detection and credit-scoring solutions from retailer POS data, deploying daily inference workflows on AWS EC2 and developing Flask APIs for training, preprocessing, and scoring. My earlier work spans computer vision, IoT, forecasting, web scraping, and backend APIs. I've deployed object-detection models to Raspberry Pi and Google Coral Edge TPU, built Forex prediction models, and continue to pursue practical technology that creates impactful solutions. ``` ## Experience ### AI Engineer (current) tappengine. Nov 2025 - Present ```text AI Engineer at tappengine, focusing on AI and data systems. ``` ### Software Engineer Surmount. Sep 2023 - Nov 2025 ```text Worked as Software Engineer at Surmount. ``` Skills: AWS-Lambda, Django-REST-Framework, Flask, Machine-Learning, MySQL, Data-Collection, Data-Visualization, Generative-AI, Grafana, PostgreSQL, Cursor ### Software Engineer - Infrastructure & Data SimpliFi. Sep 2022 - Mar 2024 ```text Worked as Software Engineer - Infrastructure & Data at SimpliFi. ``` Skills: Trino, Kibana, Presto, Problem-Solving, Kubernetes, Terraform, Ansible, Apache-Superset, Linux, Loki, Grafana, Monitoring, Reporting-And-Analysis, Docker ### Data Scientist SnappRetail. Jun 2022 - Sep 2022 ```text Worked on: - Anomaly Detection: Preprocessed and cleaned raw retailer POS data to represent individual transactions, performed feature engineering, and trained unsupervised machine learning models to detect anomalous transactions. Used AWS EC2 for model training, and scheduled daily inference using Linux CLI (crontab) to automatically email transaction status and relevant store data. Developed Fla ``` Skills: Problem-Solving, EC2, Business-Analytics, SQL, Data-Visualization, Predictive-Analytics, Linux, Machine-Learning, Flask ### Python Software Engineer Internship ConceptZI. Aug 2021 - Oct 2021 ```text - Worked as a Python Django Backend Developer and Data Scientist. - Developed time series models for Forex prediction using recurrent neural networks (RNNs) to predict the probability of price increase or decrease based on trends from the past 14 days; deployed the model on an AWS EC2 instance. - Conducted web scraping on Reddit to analyze Forex ticker sentiment by tracking mention counts; process ``` Skills: Time-Series-Analysis, Problem-Solving, EC2, Web-Scraping, SQL, Django-REST-Framework, Predictive-Analytics, Machine-Learning, Flask ### Research Assistant - ML (Computer Vision) syslab.ai. Sep 2020 - Aug 2021 ```text - Worked on a Computer Vision & IoT-based Smart City Safety Surveillance Module, later continued as our Final Year Project for an additional year. - Designed a mechanism to address data drift that occurs when deploying object detection models. - Utilized two devices: Google Coral Edge TPU and Raspberry Pi 4. - Collected image data for fire, mask/no-mask, and weapons from sources like YouTube, Goog ``` Skills: Problem-Solving, Computer-Vision, Tensorflow-Lite, Data-Collection, MLOps, Predictive-Analytics, Linux, Machine-Learning, Deep-Learning, R&D, IoT ### Data Science & Business Analytics Intern The Sparks Foundation. Jul 2021 - Jul 2021 ```text Remote internship. Did 5 "Tasks" like exploratory data analysis and model predictions. Tasks: https://github.com/YassaFareed/The-Sparks-Foundation-Tasks ``` ## Education ### National University of Computer and Emerging Sciences Bachelor's degree, Computer Science. 2018 - 2022 ```text Competitions: DevDay 2021 Data Science competition winner DevDay 2022 Data Science competition winner ``` ### PIAIC AI & ML. 2019 - 2020 ```text AI Specialization (4-Quarter Program | 4 hours/week) Completed a comprehensive AI course covering Python, Machine Learning, NLP, CNNs, and cloud deployment. Key topics and skills included: - Python for Machine Learning: Utilized libraries such as NumPy, Pandas, and Scikit-learn for data processing and model building. - Model Training & Optimization: Built and optimized Classification and Regressi ``` ### Whales College GCE A' Levels, Science. 2016 - 2018 ### Karachi Public School GCE O' Levels ## Tech stack - Superset - Amazon EC2 - Amazon CloudWatch - GitHub - GitLab - Kubernetes - NumPy - Pandas - MySQL - PostgreSQL - Django - Terraform - JSON - Loki - TensorFlow - scikit-learn - Keras - Tensorflow Lite - Django REST framework - Grafana - Kibana - Linux - Trello - Ansible - AWS Lambda - Airflow - Compiled - Amazon Web Services (AWS) - SQL - Cursor - Trino - Argo CD - Radius To contact Yassa, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire). ## People also viewed - [Awais Tahseen](https://himalayas.app/@awaistahseen): AI and ML Engineer, Tkrupt - [Hussain Ahmad](https://himalayas.app/@hussainahmad): Data Science Intern, Mobilink Microfinance Bank - [aakash ali](https://himalayas.app/@aakashali): Machine Learning Intern, Elevvo Pathways - [Saad Ali](https://himalayas.app/@saadali13): AI Engineer, Avennex - [Muhammad Saad Akhtar](https://himalayas.app/@muhammadsaadakhtar): Data Analyst Associate Intern, Excelerate - [mir khalil](https://himalayas.app/@mirkhalil): AI & Automation Engineer, Intellifyx Solutions - [Abdul Rehman](https://himalayas.app/@abdulrehman62): Freelance AI & Data Engineer, Independent AI Consulting International - [Mehak Channa](https://himalayas.app/@mehakchanna): Frontend Developer Intern, FlyRank AI - [Younas Sohail](https://himalayas.app/@younassohail): Backend AI / Data Extraction Intern, FlyRank - [Ehty alee1919](https://himalayas.app/@ehtyalee1919): Junior Data Scientist and AI Engineer, IT Directorate