Jul 2023 – Feb 2024 · 7 mos · United States · Remote

• AI integrations
• Visualisation, UI/UX improvements
• System maintenance
• Mentoring
• Desktop components delivery

Aug 2022 – Jul 2023 · 11 mos · United States · Remote

• As an Associate Software Engineer at Astera I worked on DataPrep, a desktop ETL product used by international enterprise customers to clean, transform, and prepare large datasets for analytics and downstream pipelines. I contributed across the product lifecycle — from feature design and implementation to QA collaboration and documentation — with a strong focus on usability and developer experience for data teams.
• A major area of my work was ATL (Astera Transformation Language) — an in-house, scriptable DSL designed to simplify ETL tasks. I helped design and extend ATL (60+ transformation commands) and built editor features such as intellisense to make scripting faster and less error-prone. ATL supports common operations like reading/writing, sorting, metadata modification, cleaning, joins, unions, and updates; my work made these operations easier to compose and debug for both analysts and engineers.
• On the UI side I implemented the data preview & visualization grid, enabling users to inspect data health and transformation results before committing changes, and I built configurable panels and navigation that map visual controls to ATL commands so users can modify transformation options through the UI and see the script update in real time. I partnered closely with Product Managers, QA, and other engineers to ship polished features, and recently focused on integrating AI-assisted capabilities to simplify common workflows and improve discovery for end users.

Nov 2021 – Dec 2021 · 1 mo · Karāchi, Sindh, Pakistan

• I was involved as an ambassador for FAST NUCES at the 2021 DevFest GDG event at NIC Karachi.
• Skills: Communication, Community Representation, Volunteering, Event Management

Oct 2021 – May 2022 · 7 mos · Karāchi, Sindh, Pakistan

• IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community through its highly cited publications, conferences, technology standards, and professional and educational activities.

Sep 2021 – May 2022 · 8 mos · Karāchi, Sindh, Pakistan

• Google Developer Student Clubs (GDSC) are community groups for college and university students interested in Google developer technologies. Students from all undergraduate or graduate programs with an interest in growing as a developer are welcome. By joining a GDSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community.

Jul 2021 – Aug 2021 · 1 mo · Remote

• Startup School is a free online program for founders actively pursuing their own startup. It employs a 6 week program for batches where a team can work together weekly, have discussions and coordinating learning efforts and skill sharing relating heavily to startups.
• Throughout the course, the aim is to accomplish the following,
• 1. See the encouragement and inspiration aspect for people to consider starting a company as a way to positively impact the world
• 2. Learning how to teach people how to start a startup, and equip them with the resources and tools to help prepare them now and in the future
• 3. Collaborate to build a community of entrepreneurs who can encourage, teach and support one another
• In this role, I'm a member of the groups selected for this cohort engaging in the curriculum, having weekly team meetings, and sharing ideas over serious discussions over what it takes to start a startup. This gives me and other members like me the opportunity to find co founders an easier task.

Jul 2021 – Jul 2021 · 0 mo · Remote

• # About
• Build your search for any kind of data
• Build and deploy your AI-powered search applications in seconds with Jina’s open-source tech stack.
• ## Why Jina?
• ### Save time
• Get started with neural search in minutes! Say goodbye to stitching your search systems together and say hi to Jina!
• ### Search anything
• Use and get support for all kinds of data types with dozens of state-of-the-art deep learning libraries that work out of the box.
• ### Driven by YOU
• Jina is open source so we live and die by our community. Have an idea? Let us know! Want to make an enhancement? That’s just a pull request away!
• ### Plug and play
• Easily extend and customize leveraging community-driven components. Build search pipelines in seconds.
• # My contribution
• I worked/collaborated with Jina AI and fellow MLH pod fellows on a project for Jina AI that demonstrated its capabilities. My responsibilities included,
• Dockerizing the entire setup for the project
• Automating actions
• Fixing front-end/back-end bugs
• Collaborating with the Jina AI team to resolve issues as needed.

Jun 2021 – Aug 2021 · 2 mos · World

• I was involved in contributing to @Mapillary under the MLH Open Source Fellowship. My project was a Python SDK that could communicate and work with the latest Mapillary API release, v4, and be involved in data cleansing, and formatting.
• The project is currently under the @Mapillary organization on GitHub, https://github.com/mapillary/mapillary-python-sdk.
• Overall, the SDK accomplished,
• 1. Developed and pushed a Python package for usage for the interfaces that the SDK offered
• 2. Cleansed and formatted Geospatial data from the API to simplify interaction, removing the need for users to write a lot of code to repeatedly do the same thing many times
• 3. Developed and was involved in writing descriptive documentation to push for users to read
• 4. Automated building, pushing to PyPi, testing, and documentation building to keep updated

Jun 2021 – Aug 2021 · 2 mos · Zurich, Zurich, Switzerland

• Mapillary is a project under Facebook Reality Labs that makes imagery available and provides access to data on the collaborative platform that uses computer vision to scale and automate mapping, focusing heavily on hosting, processing, and publishing street-level imagery and map data.
• I'm working as a Python Developer and a Software Engineering with Python 3, building an SDK library delivering values over GeoInformatics on the Mapillary API v4 to facilitate retrieving and working with Mapillary data. This is for the GeoInformatics community as an Open Source resource for everyone out there who wishes to get easy access to Mapillary's Gigantic Dataset.
• So far, we've contributed about,
• 6.5K+ lines of code
• 55 issues, 21 open, 34 closed
• 35 Pull Requests, 0 open, 32 merged, 3 closed
• My responsibilities so far have included,
• Using base requirements and using Software Engineering best practices, such as "Design Patterns", "Modularity", "Requirement Analysis", "Prototyping", "Don't Repeat Yourself"
• Structuring the project requirements from a given PRD
• Feedback loop with project lead over changing requirements and obstacles
• Frequently engaged in leading discussions and project priorities
• Developing, writing documentation, triaging/ reviewing, maintaining, and refactoring code base
• Self project management as I have to report weekly on what tasks have been completed and where the blockers currently are for me and my team mate

Jun 2021 – Jul 2021 · 1 mo · Remote

• In collaboration with SUSE, the "Cloud Native Foundations" course, under Udacity's Nanodegree for "Cloud Native Application Architecture", is for learning about the growing demand for cloud native architects and learn to identify the best application architecture solutions for an organization’s needs.
• Throughout this course the material emphasis was on,
• How to structure, package, and release an application to a Kubernetes cluster, while using an automated CI/CD pipeline
• Learning how to apply a suite of good development practices within an application, packaging it with Docker and distribute it through DockerHub
• Exploration of Kubernetes resources and how these can be used to deploy an application, being comfortable using k3s to bootstrap a lightweight and functional Kubernetes cluster
• Executing and examining template configuration managers, such as Helm, to implement the parameterization of Kubernetes declarative manifests
• Touching up on Continuous Integration and Continuous Delivery (CI/CD) with GitHub Actions and ArgoCD and completely automate the release process for an application

Dec 2020 – Dec 2020 · 0 mo · Remote

• Ambers you to message on WhatsApp, select your desired language, provide the address using pin location and hospital name you need to go, provide other necessary information for ambulance service and you won't feel troubled about getting an ambulance to your doorstep.
• From there The ambulance captains have access to the Amber app through which they will reach you through the most optimal route, but also will help them in utilizing the best route from the pickup to the hospital making sure that critical emergencies can be catered in the most optimized time. It is time-efficient, easy, and reliable.
• Tech Stack,
• Mine: Twilio WhatsApp API, Axios, Twiml
• Overall: Flutter, Firebase Authentication, Firestore, Cloud Function Development ,

Jul 2020 – Aug 2020 · 1 mo · Remote

• The "DeepLearning.AI TensorFlow Developer" by DeepLearning.AI is a developer program that helps participants understand the,
• Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications
• Building process for natural language processing systems using TensorFlow
• Handling real-world image data and explore strategies to prevent over-fitting, including augmentation and dropout
• Apply RNNs, GRUs, and LSTMs as you train them using text repositories
• The course was taught, and designed by Laurence Moroney. Laurence Moroney leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to ML careers for everyone. He’s written dozens of programming books, the most recent being ‘AI and ML for Coders’ at O’Reilly. Laurence believes that MOOCs are one of the greatest ways to learn, and is excited to create TensorFlow Specializations with DeepLearning.AI on Coursera.

Jul 2020 – Aug 2020 · 1 mo · Remote

• The Deep Learning Specialization is a foundational program that helps participants understand the capabilities, challenges, and consequences of deep learning, preparing them to participate in the development of leading-edge AI technology. It provides a pathway allowing students to take the definitive step in the world of AI.
• As part of this specialization, I spent a lot of time dealing with the course material emphasis being on principles regarding,
• Building and training neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers
• Focusing on optimizing them with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more
• The concepts were reinforced through exercises dealing with theoretical concepts and their industry applications using Python and TensorFlow
• The specialization tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.
• The course was guided, taught, designed, and put into action by an extremely well-known teacher, Andrew Ng. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, robotics, and related fields. Previously, he was chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world's largest MOOC platform. Dr. Ng now focuses his time primarily on his entrepreneurial ventures, looking for the best ways to accelerate responsible AI practices in the larger global economy.
• Along the way, there was also the element of getting career advice from deep learning experts from industry and academia.

May 2020 – Jun 2020 · 1 mo · Remote

• Facebook Hackathon: Messaging, build messaging solutions that empower conversation.
• Me and my team built "Messages With Hope", an automated chat bot to assist emergency situations by connecting users and ambulances together quickly to efficiently handle transport of critical emergencies. In other words, it is a helpful chat-bot, acting exactly as its name suggests when it comes to registering an ambulance and making contact easier between ambulance service and the user.