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Schedule Interview NowMy name is Asad R. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Web Development, Full-Stack Development, Back-End Development, Front-End Development, FastAPI, etc.. Some of the notable projects I’ve worked on include: Duckie.ai, Vijil, Aventura, Real Estate Library, ConnectRN, etc.. I am based in Manassas, United States. I've successfully completed 7 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.
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Amazon
A collaborative AI workspace that helps teams brainstorm, plan, and build together using structured, multi-agent workflows. Role & Responsibilities: - Designed and implemented multi-agent AI workflows for collaborative task execution. - Integrated and fine-tuned LLMs (OpenAI, Anthropic) for role-based agent behavior and task coordination. - Developed vector-based memory using FAISS and embeddings for context retention across sessions. - Led architecture for RAG pipelines, enabling dynamic content generation and knowledge retrieval.
AI-native observability and security platform that proactively detects threats and anomalies across your software stack. Role & Responsibilities: - Developed modular, high-performance backend services with FastAPI. - Integrated AWS services: S3, Lambda, RDS, and CloudWatch. - Implemented Redis + BullMQ queues for background jobs and notifications.
A platform by Aventura, sharing insights and updates on how AI agents are transforming workflows and productivity for teams. Role & Responsibilities: - Developed backend services using FastAPI to power AI-driven content delivery and analytics. - Built dynamic frontend components with HTMX and Tailwind CSS for a lightweight, responsive UI. - Integrated LLM APIs for real-time summarization and insight generation. - Managed deployments and infrastructure using Docker and AWS EC2.
A curated AI-powered knowledge hub for real estate professionals to access data, insights, and market resources efficiently. Role & Responsibilities: - Built full-stack features using Django and HTMX for dynamic, responsive interfaces without heavy frontend frameworks. - Developed RESTful APIs and backend logic for document search, user auth, and content management. - Integrated AI/NLP models to power intelligent search and tagging of real estate content. - Optimized PostgreSQL queries and caching layers for fast content delivery.
connectRN is a healthcare staffing platform that enables nurses and clinicians to find and book shifts across multiple facilities with ease. Responsibilities: - Built cross-platform features with React (web) and React Native (mobile). - Developed modular, high-performance backend services with Express.js. - Integrated AWS services: S3, Lambda, RDS, and CloudWatch. - Implemented Redis + BullMQ queues for background jobs and notifications. - Improved CI/CD workflows using GitHub Actions, automating testing