AWS · PYTHON · PYTORCH
Edge & Serverless Face Recognition
Face detection with IoT Greengrass and recognition with Lambda, connected through SQS.
Local evaluation matched all 100 supplied course test labels; cloud deployment was not revalidated.
I'm Monisha, an ASU software engineering master's graduate. I build backend systems, AI applications, and cloud workflows, bringing technical experience and a product mindset to software engineering, product, and business analysis opportunities.
My work spans healthcare backend development, team projects at ASU, and personal AI applications. I enjoy translating requirements into software and checking that it behaves as intended—from cloud message processing to language interpreters and retrieval pipelines. As Co-President of ASU's Product Management Club, I also used student feedback to shape practical product programming.
ASU team projects and personal work across cloud systems, AI, and software engineering. Explore the source, demos, and validation notes.
AWS · PYTHON · PYTORCH
Face detection with IoT Greengrass and recognition with Lambda, connected through SQS.
Local evaluation matched all 100 supplied course test labels; cloud deployment was not revalidated.
AWS · FLASK · S3 · SQS
An image-processing pipeline with a Flask web tier, EC2 recognition workers, and queue-based worker scaling.
Includes a locally checked recognition adapter and automated tests for worker coordination with mocked AWS clients.
TEAM CAPSTONE · CHROMADB · OPENCLIP
Team contributions to educational image retrieval, ingestion pipelines, and supporting LLM services for an adaptive tutoring application.
Contribution repository with integration code and deliverables; the complete application lives separately.
JAVA · ANTLR · TEAM PROJECT
A custom programming language interpreter supporting typed expressions, conditionals, loops, and control flow.
Includes grammar, evaluation logic, and example programs.
JAVA · SWING · GRADLE
A team-built desktop course prototype for exploring Scrum roles, user stories, and sprint workflows.
Includes project documentation and a passing Gradle workflow.
PYTHON · STREAMLIT · OPENAI · SQLITE
A conversational interface to my background and projects, using supplied context and cached answers in the hosted Streamlit app.
The repository also includes a separate semantic-retrieval implementation.
AI TOOLS · INTERACTIVE VISUALIZATION
An interactive graph exploring potential dependencies between Composio tools for AI agent planning.
Browse tool relationships through a published graph.
PYTHON · STREAMLIT · DATA VISUALIZATION
A dashboard combining historical prices, technical indicators, and AI-generated commentary.
Explore the working application and its source code.
More experiments: Backend Learning Labs · LLM Prompt Experiments
Feedback tracking, stakeholder analysis, requirements documentation, prioritization, Agile/Scrum.
Python, Java, SQL, Flask, REST APIs, PostgreSQL, Git, and automated testing.
AWS EC2, S3, SQS, Lambda, IoT Greengrass, PyTorch, OpenAI, ChromaDB, and Docker.
M.S. in Computer Software Engineering
Aug 2024 – May 2026 | Tempe, AZ, USA
B.E. in Electronics and Communication
Aug 2016 – Aug 2020 | Bengaluru, India
Open to software engineering, AI, product, and technical business analysis opportunities. Let's connect.
krishnamurthy.monisha@outlook.com