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Mansoor H. - , PostgreSQL, nextjs

My name is Mansoor H. and I have over 7 years years of experience in the tech industry. I specialize in the following technologies: SQL, Python, pandas, Flask, Google Cloud, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: diSearch Application, Context Application, Mach PDF. I am based in Karachi, Pakistan. I've successfully completed 3 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Main technologies

  • 7 years

  • SQL

    5 Years

  • Python

    1 Year

  • pandas

    3 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

diSearch Application

diSearch is built with React, Node.js, Python, TypeScript, MongoDB, PostgreSQL, and Flask, deployed via Docker, Kubernetes, and GCP. It delivers real-time search with citations, follow-ups, AI-driven editing, and recommendations. The Conversation Screen provides LLM access, threaded discussions, and integrations. diWriter enables project creation with AI text and image tools, while the Analytics Dashboard tracks queries, uploads, and user activity. AI also powers summaries, history rating, roles, and navigation.

Context Application

Context was built with React, Node.js, Python, TypeScript, MongoDB, PostgreSQL, BigQuery, Flask, and deployed via Docker, Kubernetes, and GCP. It provides insights from diverse files—extracting PDF data via Google Processors, labeling video with Google AI, and supporting images, CSV, TIFF, XML, and audio. I contributed across front and back end, translating business needs into technical solutions, ensuring quality through CI/CD, test automation, and guiding team development to meet goals.

Mach PDF

The project scope has been well delivered according to our requirements. He has been able to understand the logic effectively and completed our webapp according to our UI design. The timeline is tight but he is able to deliver the project accordingly. The slight delay is acceptable.

Education

  • Federal Urdu University of Arts, Sciences and Technology Islamabad

    Bachelor of Science (BS) in

    2017-01-01-2020-01-01

Languages

  • English
  • Urdu