Full Stack Software Engineer with expertise in Data & AI and a passion for solving complex problems.
With a diverse skill set in full-stack development and machine learning, I bring a unique perspective to building efficient and scalable solutions. My journey includes solving complex problems and constantly evolving as a well-rounded tech professional.
Beyond my technical expertise, I excel in leadership, time management, and multitasking, developed through my experience as a software engineer and project manager. Iām a team player, passionate about delivering value. Outside of work, I stay active through swimming, powerlifting and hiking, which fuel my discipline and creativity.
One of my favorite aspects of development is planning the architecture of a project. From designing data pipelines to mapping out machine learning models, I enjoy working through every detail to ensure an effiecient solution.
As a creative technologist, I develop intuitive software solutions using a diverse set of tools and languages.
With a strong foundation in both design and development, I bring a unique perspective to every project and am constantly learning and evolving to stay up-to-date with the latest industry trends.
Python, JavaScript, R
Django, React, TensorFlow, PyTorch
MongoDB, PySpark, SQL, Talend, Postgresql, DataBricks
I deeply enjoy solving problems through code. From the front end all the way to the back end and the APIs in-between. No project is too challenging for me.
With over 4 years of experience building software products, I have a deep and intuitive understanding of how the interfaces of the best software products in the world are designed. This is just some of the software I have used over that time.
I have extensive experience in software engineering, data science, and machine learning, contributing to various projects across multiple industries.
Data Gurus Pvt Ltd is a data-driven company that focuses on delivering advanced data solutions. I spearheaded data science projects, handled big data, and developed scalable data infrastructures and machine learning models.
Managed a scalable data infrastructure, integrating data lakes and warehouses with PySpark, DataBricks, and PostgreSQL, and developed ETL pipelines for optimized data flow. Spearheaded data projects focused on solar panels and vending machines, reducing latency by 30%.
Some key projects completed during this time š
Optimized backend systems written in Python and Java, leading to increased performance and reliability. Designed and maintained core databases, including Postgres, SQL, and MongoDB, for handling large-scale data.
Some key projects completed during this time š
Led integration and enhancement of multiple modules, including EPRS, Airalo, Kiwi API, and Netflix. Directed UI, Frontend, and Backend development, managed API integration, and implemented DevOps practices, driving SaaS product expansion.
Developed web applications using Django for backend and React for frontend. Applied machine learning techniques to deliver impactful data insights and developed web scraping automation tools to enhance data acquisition.
Managed a team of software developers, overseeing the entire software development life cycle from lead generation to project delivery. Contributed to Web and Data Science projects, delivering solutions to over 30 US businesses.
Worked on a project funded by HEC, developing and testing hardware to collect EEG signals from the human brain. Published a research paper in IEEE and applied knowledge of Digital Signal Processing and Machine Learning.
My academic journey has been rooted in engineering and mathematics, providing a robust foundation for my career in data science and machine learning. I supplemented this with specialized coursework to build a comprehensive skill set.
My degree in Electrical Engineering and Computer Science from NUST equipped me with a deep understanding of engineering principles, mathematics, and computer science. This strong foundation allows me to approach complex problems with analytical and technical rigor.
Relevant coursework includes subjects that played a key role in shaping my skills and knowledge in data science, machine learning, and software engineering.
These accomplishments highlight my dedication and expertise in machine learning, data science, and research.
Throughout my career, I have achieved significant milestones that reflect my commitment to excellence in the fields of machine learning, data science, and research.
These achievements highlight my contributions to impactful projects and my pursuit of innovation in technology.
I'm passionate about leveraging emerging AI technologies to tackle real-world challenges.
Crafting models that generate text, images, and data insights.
Developing systems that understand and respond to human language.
Enabling machines to interpret and process visual information.
Designing data pipelines and turning raw data into clear insights.
