I build production-grade LLM applications, RAG architectures, and scalable machine learning systems that turn complex data into actionable intelligence.
I am an AI/ML Engineer focused on machine learning engineering, data engineering, and applied artificial intelligence. I build production-grade AI/ML and Generative AI systems ranging from RAG applications and agentic workflows to secure backend APIs and scalable data platforms.
My recent work spans oncology-focused multi-agent systems on GCP, clinical LLM evaluation, and enterprise ML pipelines on AWS. I combine Python, FastAPI, Flask, Java, and Spring Boot with pragmatic engineering tradeoffs to deliver grounded AI with measurable impact.
A selection of my recent work in LLM platforms, AI agents, mobile apps, student products, clinical research automation, and backend engineering.
An AI-powered job search operating system that combines Gemini-based resume tailoring, recruiter outreach, Gmail pipeline sync, and extension-assisted applications in one platform.
An Android app built for an independent client to manage, showcase, and sell embroidery designs with cloud-backed catalog, image uploads, and order tracking.
A custom, lightweight multi-agent framework orchestrating parallel and sequential AI agents for trip planning from scratch.
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Advanced AI patient-to-trial matching system using Gemini and LangGraph. Developed to streamline clinical research recruitment.
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Optimizing Large Language Models for resource-constrained mobile devices. Focus on architectural efficiency and quantization.
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GPU-accelerated financial risk modeling and Monte Carlo simulations for large-scale portfolio analysis.
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Pulse Coupled Neural Network implementation for advanced image processing and automated shadow detection and removal.
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Robust anomaly detection framework for identifying patterns and outliers in complex datasets using machine learning.
View ProjectExpertise in modern AI, Cloud, and Engineering stacks.
Building impactful AI solutions at the intersection of technology and healthcare.
Designing and deploying production-grade Generative AI, RAG, and multi-agent clinical AI systems on GCP Vertex AI, Cloud Run, and BigQuery for oncology workflows.
Built AWS SageMaker ML pipelines, clinical ETL systems, SQL data models, and model-serving APIs for treatment outcome prediction, monitoring, and analytics.
Developed Python ETL workflows, Flask APIs, SQL reporting, and data validation pipelines across healthcare, retail, and fintech engagements.
Academic foundation across computer engineering, computer science, and applied electronics.
Professional credentials and continuous learning.
Amazon Web Services
IBM
I'm always open to discussing new AI projects, creative collaborations, or opportunities to innovate.