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Schedule Interview NowMy name is Syed Haider A. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: Python, API, AI Development, PostgreSQL, Django, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Asset Curve – SMB cyber-asset dashboard, FaceSwapAI – Private Deep-Fake Generator, Revenue Analytics Dashboard, H2B Billing Software. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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The platform provides a holistic solution, offering improved asset management, user visibility, risk assessment, security maturity, and streamlined data management. Ultimately, the project aims to empower SMBs with the tools and insights needed to protect their assets from cyber threats effectively. http://app.assetcurve.io
Built a privacy-first video face-swap platform: Python + PyTorch GANs for high-fidelity swaps processed on-GPU. Node.js API routes uploads to a secure inference service; files auto-purge after download. React / Next.js + Tailwind front-end delivers 100 % Lighthouse SEO and sub-1 s LCP. Result: studio-quality deepfakes in minutes with zero data retention. Skills: Python, Generative AI, PyTorch, React, Next.js, Tailwind, Node.js
In this project I created both backend logic with algorithms to calculate metrics and frontend using Python's Dash framework. I included metrics such as Cumulative Monthly Growth Rate 3 months (CMGR3/CMGR6/CMGR12), New Revenue, Expansion Revenue, Resurrected Revenue, Contraction revenue,Churned Revenue,Quick Ratio,Net Churn,Gross MRR Churn Rate, Customer Retention by each cohort and many more.
This Flask based billing software generates invoices with itemized lists, quantities, unit prices, and calculates totals including VAT. It features client information management, invoice numbering, and printing functionality. The interface, as shown in the screenshot, allows for data entry and displays the generated invoice, suggesting a user-friendly approach to managing sales and billing.
Bachelor of Computer Science (BCompSc) in