I am a Full-stack and AI/ML Developer with senior-level expertise in delivering production-ready AI solutions. Over the years, I have designed and deployed autonomous Support Agents using advanced technologies like Claude and Retrieval-Augmented Generation, which have successfully resolved 65% of Tier-1 tickets and cut response times by half. My experience includes leading end-to-end agentic workflow architectures that streamline complex customer-success pipelines, improving operational efficiency significantly.
I have a strong background in both front-end and back-end development, cloud engineering, and data engineering. I have worked extensively with modern frameworks and cloud platforms, orchestrating migrations to cloud-native microservices and building scalable, high-performance backend services. My work has consistently focused on optimizing system performance and reducing costs, such as cutting infrastructure overhead by $150,000 annually and improving API response times by 40% under peak loads.
My passion lies in applying deep full-stack and AI experience to build scalable, intelligent systems that drive measurable business impact. I am proficient in fine-tuning open-source models to handle niche industry terminology, which has led to significant improvements in sentiment analysis accuracy for specialized datasets. I also have experience integrating AI models into user-facing applications to enhance internal workflows and customer support.
Throughout my career, I have developed complex data visualization dashboards and ETL pipelines that translate massive datasets into actionable insights for executive teams. I am skilled in building real-time telemetry dashboards and optimizing frontend performance to ensure smooth user experiences across devices. My technical expertise spans a wide range of programming languages, frameworks, and cloud technologies.
I am eager to leverage my skills and experience in full-stack development and AI/ML to contribute to innovative projects that require building intelligent, scalable solutions. I thrive in dynamic environments where I can apply my knowledge to solve challenging problems and deliver impactful results.
Architected end-to-end agentic workflows using Claude’s reasoning capabilities to automate complex, multi-step customer success pipelines. Developed a Support Agent using Retrieval-Augmented Generation (RAG), which resolved 65% of Tier-1 tickets and reduced manual intervention. Integrated LangChain and Claude’s proprietary APIs into a Next.js frontend, optimizing internal data retrieval and cutting response times for the sales team by 50%. Fine-tuned open-source models such as Llama 3 to better handle niche industry terminology, resulting in a 22% increase in sentiment analysis accuracy for specialized client datasets.
Led the migration of legacy monolithic architectures into high-performance, cloud-native microservices. Orchestrated migration from on-premises servers to AWS Lambda and Kubernetes, slashing annual infrastructure overhead costs by $150,000. Built high-concurrency backend services using Go and Rust, improving API response times by 40% under peak loads. Implemented automated CI/CD pipelines that reduced deployment-related downtime to near zero.
Designed complex data visualization dashboards to translate massive datasets into actionable executive insights. Built a real-time telemetry dashboard using React and D3.js for Fortune 500 clients, handling over 1M data points per second. Optimized frontend state management, resulting in a 30% increase in rendering performance on low-powered devices. Developed ETL pipelines to clean and structure messy behavioral data, improving the reliability of monthly BI reports.
Served as an early-hire engineer responsible for building and scaling the MVP of a social fitness application. Built the initial web platform from scratch using the MERN stack, helping the company scale from 0 to 50,000 active users in 18 months. Refactored the database schema (MongoDB), which reduced query latency by 45% during high-traffic marketing events. Implemented a responsive UI that maintained a 4.8-star user satisfaction rating across mobile and desktop.
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