Full Stack engineer

Full Stack engineer

Hourly rate: members only

Availability: members only

Willingness to travel: On request

Professional status: Freelancer

Last updated: 14 Aug 2023

Total work experience:

Language skills: English,

Personal summary

Energized by results, I'm a seasoned Full Stack and Data Engineer with an impressive 6-year journey propelling intricate projects to victory. I thrive on cracking knotty challenges and am all about fueling progress. My dynamic toolkit covers everything from frontend dazzle with React, JavaScript, and more, to backend wizardry with Python, Django, AWS, and an array of databases. Mastering Agile Scrum, I orchestrate teams and harmonize stakeholder dreams. Armed with a Master's in AI/Big Data and a BSc with honors, I pack academic artillery. Facebook Developer Circle bestowed its scholarship upon me, while GitHub showcases my devotion to continuous mastery. I'm not just about talk – my real-time video streaming wizardry underscores code quality and best practices devotion. Bridging geek speak with business goals, I flourish in communication. Clouds, AI/ML, Docker, Kubernetes – I wield them all to weave tech symphonies. An innovative trailblazer, my flair for tech finesse and collaborative grace lights up teams. Eager to ignite your projects, my technical prowess and hunger for innovation blend seamlessly. Joining your league is more than exciting – it's the spark that sets your initiatives ablaze. Proficient in: - Frontend: React, JavaScript, Typescript, HTML, CSS - Backend: Python, Django, Flask, Node.js, Express, DBs,Fast api - DevOps: AWS, Kubernetes, Docker, Terraform, Jenkins, GitLab - AI/ML: TensorFlow, PyTorch, scikit-learn, Keras - Big Data: Hadoop, Spark, Hive, HBase - Cloud: AWS, GCP, Azure -Project Management:Agile Scrum, leading teams, and collaborating with stakeholders. Master's in AI/Big Data, Anglia Ruskin University; BSc in Software Engineering, University of Punjab, honors; Facebook Developer Circle scholarship recipient. GitHub: github.com/findsah. Projects: 1. Web app predicting 90% accurate customer churn, saving millions. 2. 99% accurate fraud detection system for financial institution. 3. Data pipeline processing millions daily for better decisions. Tech Lead Full Stack Developer at Quant Sports Trading Ltd: - Lead Python, Betfair Exchange API, AWS sports trading infrastructure. - Managed team, ensured timely project delivery. - Designed reliable order management system. - Contributed to frontend and backend dev, shaped MVP. - Explored machine learning in algorithmic sports trading.

Language skills


Fluent knowledge