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Schedule Interview NowMy name is Nadir R. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: App Development, iOS Development, Android App Development, Web Application, Web Development, etc.. I hold a degree in Master of Science in Project Management (MSPM), Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Hybrid Mobile App, AI-powered Dynamic Agent, AI-powered Clinical RAG - Knowledge Assistant, YouTube Summarizer Workflow, AI-powered Natural Language Voice Agent, etc.. I am based in Dubai, United Arab Emirates. I've successfully completed 8 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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Careem
HelperHive is a one-stop home services app that connects you with trusted professionals for all your household needs. Whether it’s cleaning, laundry, plumbing, painting, or repairs, HelperHive makes it easy to browse services, compare prices, book instantly, and manage your bookings. With verified providers, special offers, and quality assurance, you can get reliable help anytime
An AI-powered web search agent that receives natural language queries, opens a browser, dynamically interacts with web pages, extracts relevant information in real-time, and delivers structured responses. Built with OpenAI, memory modules, and automation tools for browsing and query handling.
Designed a retrieval-augmented generation pipeline using MIMIC-IV-Ext to answer clinical queries with context-aware LLM responses. Combined BM25/dense retrieval with generative modeling and deployed via Streamlit. Query comes from the user, LLM processes that query with documents in context and then replies with LLM + Knowledge base data
This workflow helps in making long YouTube videos easier to understand. It takes the video link, finds the transcript (spoken words), and then uses AI to create a short and clear summary. This way, Users and professionals can quickly get the main ideas without watching the whole video.
This workflow delivers an AI-powered assistant that works across chat, voice, and phone channels using Voiceflow, Google Calendar, OpenAI, and a RAG system with Qdrant. It automates order tracking, appointment scheduling, and knowledge-based responses, while also providing conversational support for product queries and troubleshooting. By connecting to Google Drive and Qdrant, it keeps company knowledge always up to date, ensuring accurate answers. The assistant can be deployed on websites, voice interfaces, or phone calls, making customer support faster, smarter, and more accessible.
Master of Science in Project Management (MSPM) in Project Management
2021-01-01-2023-01-01
Bachelor of Engineering (BEng) in
2017-01-01-2021-01-01