I work across machine learning, data-driven systems, and full-stack development with a focus on measurable outcomes, elegant interfaces, and production-minded execution.
ML Systems
Applied AI workflows.
Full Stack
React, APIs, UX.
Now Shipping
Live project work.
About
I build AI and autonomy systems with enough product thinking to make the work usable, legible, and ready for real workflows.
Current research
Building a simulated smart assembly cell where mobile robots and a robotic arm learn to coordinate tasks, routes, and schedules using reinforcement learning.
Applied ML impact
Developed TensorFlow autoencoder workflows with CUDA acceleration, improving detection accuracy while cutting training time for faster experimentation.
40%
accuracy lift
DRDO audio anomaly detection
10+
OSS PRs
chroma, OpenAI Agents, skorch, cleanlab
ROS 2
robotics stack
multi-agent autonomy research
8+
shipped projects
ML, agents, and full-stack builds
Education
CSUF
M.S. Computer Science (Aug 2024 – Present)
GPA 3.78
JNTUH
B.Tech Computer Science & Engineering
GPA 7.87
Selected Work
A focused set of shipped work across applied AI, full-stack tools, and user-facing engineering.
GitHub profileMulti-agent healthcare decision-support system with RAG, risk prediction, SHAP explainability, FastAPI, and a Streamlit interface for clinical-style reasoning demos.
Production-style transaction fraud scoring on the IEEE-CIS dataset: XGBoost inference, cost-based thresholding, Tree SHAP explainability, Evidently drift monitoring, FastAPI service, and a Streamlit workbench.
NLP-driven trading simulation combining news sentiment (BERT), Yahoo Finance data, and backtesting against historical performance.
TensorFlow autoencoder pipeline for industrial fan audio anomaly detection using mel-spectrogram reconstruction error, with dataset processing and model evaluation workflows.
Deep-learning image classifier using Inception-ResNet-V2 across 120+ dog breeds with 90%+ accuracy, GPU-accelerated training, and OpenCV preprocessing on 10,000+ images.
Advising-focused academic support platform to streamline course guidance workflows and improve student-facing usability.
Web app to classify food images with Hugging Face inference, drag-and-drop upload, and confidence-based prediction output.
Cafe discovery app with geolocation, Google Maps & Places APIs, and a card-based UI for nearby place discovery.
Open Source
Pull requests across open-source ML and developer tooling repos, including merged work on falsify-inspect and licinexus-mcp.
Live Activity
Pulled from recent public GitHub events plus direct repository commit checks, including this portfolio.
Capabilities
Resume
Download my latest resume for experience, education, technical skills, and project outcomes.
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