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Schedule Interview NowMy name is Mohsin M. and I have over 7 years years of experience in the tech industry. I specialize in the following technologies: Python, Django, FastAPI, node.js, Laravel, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Computer Applications (MCA). Some of the notable projects I’ve worked on include: Rentahaus, Finlex, VEVA, Tallyfy, Elevatus, etc.. I am based in Kaiserslautern, Germany. I've successfully completed 8 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Rentahaus provides the environment for landlords and tenants to connect and manage their rental relationship. The product helps landlords actively manage their rental properties online. It encourages a relationship based on communication between the landlord and tenant. It makes communication and recording of events & decisions easier. It will build a community of landlords and tenants who can easily find great homes to live in and great people to live in them. Our Slogan is Join us and together we can improve renting for everyone.
FINLEX ("Financial Lines Experts") is a specialized insurance broker and platform provider. Finlex is an Advisory Claims Service Platform. It offers White-label solution for financial brokers. It offers infrastructure for digitizing underwriting for SME Risks for Insurers. FINLEX offers a fully automated platform and submission tool for corporate clients, insurance brokers and insurers with a focus on financial lines products (D&O, Cyber, Crime, Criminal legal cover, etc.).
VEVA Collect is the the premier platform for project collaboration in the audio space. For every stage of production: from songwriting to mastering, ensure all of your credits are accurate, keep your files safe, and collaborate in new ways. From podcasts to song catalogs to mixed and mastered projects, the best way to ensure that credits are accurate is to Collect while you Create™. That’s why accurate metadata is at the center of VEVA Collect’s platform exporting a valid DDEX RIN file.
Tallyfy is a cloud-based workflow management tool that turns daily tasks, SOP's and procedures into automated and repeatable process. It helps users define, manage and execute repeatable business processes. Tallyfy offers a visual workflow builder that lets users define required actions and data uploads for each step of the process using a checklist-style interface. If data entry or file uploads are required to complete a step, that information is passed along to the next individual in the workflow. Conditional and decision logic can also be incorporated into a workflow. Workflow processes can also be triggered using input from other applications, such as Zapier, Basecamp, Zoho, Skype, Salesforce and more.
In the Elevatus project, my role as a developer was to create a platform that provides fast, scalable, and innovative hiring solutions. My main objective was to automate the entire hiring process, allowing users to post job openings to over 10,000 job boards and efficiently match resumes to pre-existing job posts and descriptions. To accomplish this, I utilized a technology stack consisting of Python, Elastic Search, and NoSQL (MongoDB). These technologies allowed me to build a robust and efficient system capable of handling large volumes of data and providing seamless user experiences. I have developed various features and functionalities within the platform. This included implementing an AI matching algorithm that calculates a percentage to determine the suitability of candidates for specific job positions. I also integrated Elastic Search to enable quick and accurate search capabilities for job postings. Throughout the project, I ensured the platform's performance, scalability, and security. I conducted rigorous testing to identify and fix any issues, and we collaborated closely with the client to align the development process with their requirements and objectives.
Bachelor of Engineering (BEng) in Computer science
2006-01-01-2010-01-01
Master of Computer Applications (MCA) in Artificial Intelligence, Machine Learning, Data Mining
2013-01-01-2015-01-01