Processing Candidate Data…
PORTFOLIO / 2026
Vishwa R
Data Science enthusiast crafting intelligent solutions at the intersection of machine learning, computer vision, and healthcare innovation.
Transforming data into actionable insights
Experience
Mar 2026 - May 2026
- •Worked on Oracle HCM Cloud data migration using HCM Data Loader (HDL), building and validating end-to-end HDL files for new hire, employment update, and termination scenarios across Core HR modules.
- •Developed custom business logic using Oracle Apex as part of enterprise software engineering projects, strengthening core skills in cloud-based application development.
Oracle HCM CloudOracle ApexOracle HDL
Dec 2025 - May 2026
- •Architected the intelligence layer of an AI grant-writing platform across 5 core modules — RFP Analysis, RAG Pipeline, Multi-Agent Orchestration, Content Generation, and Search & Storage — transforming raw organizational documents into submission-ready proposals with full citation traceability.
- •Designed a multi-agent orchestration framework with specialized Researcher, Writer, and Reviewer agents over a shared state — automating the grant-drafting loop from evidence retrieval through critique-driven refinement, producing grounded proposal sections of 400–600 words with source citations.
- •Built an RFP Analysis module that automatically extracted eligibility criteria, deadlines, and compliance requirements from funder documents, surfacing an AI-computed eligibility match score that reduced reviewer assessment from hours to minutes.
Generative AILLMsNext.jsPython
Jul 2024 - Sep 2025
- •Researched and worked on computer vision models for predicting health biomarkers from retinal imaging datasets.
- •Built AI-powered solutions for automated biomarker extraction to support cardiovascular risk assessment.
- •Designed and implemented preprocessing pipelines with advanced augmentation techniques for large-scale medical imaging data.
PythonPyTorchComputer VisionDeep Learning
Projects
Multi-Agent AI
Agentloop — DS-STAR Agent Platform
Agentloop is a multi-agent AI platform powered by the DS-STAR framework that autonomously interprets and executes Python code.
- Autonomous Python code generation in secure sandbox
- Deep research mode with parallel sub-queries
- Self-verification using DS-STAR framework
RAG
SkillSync AI: Precision Hiring Powered by AI
A RAG-powered framework designed to revolutionize résumé screening and talent evaluation.
- RAG-powered candidate evaluation framework
- Multi-source candidate data processing
- Ensures accuracy, fairness, and explainability
Multi-Agent AI
Automated GitHub Pull Request Review Agent
A full-stack application that automates GitHub pull request code reviews using a CrewAI multi-agent system.
- CrewAI multi-agent code review system
- Five specialized agents (Security, Best Practices, etc.)
- FastAPI integration with GitHub and OpenAI GPT-4o
Data Analytics
HR Attrition Prediction System
A predictive analytics model that forecasts employee attrition using IBM dataset.
- Predictive modeling for employee attrition
- Logistic Regression and Random Forest models
- Achieves 87.75% prediction accuracy on IBM dataset
Data Visualization & Dashboard
National Rail Performance Dashboard
An interactive data dashboard providing insights into national railway performance trends.
- Interactive Power BI dashboard
- Analysis of 31,650+ railway performance records
- Extracts deep insights on on-time performance trends
Skills
CORE STACK
PythonLangChainLangGraphFastAPIPrompt EngineeringAgentic AIMulti-agent Systems
LLM & RETRIEVAL
RAGRAGASEvalsChromaDBFAISSHuggingFaceLlama 3GeminiGroq
DEV & DEPLOYMENT
GradioStreamlitHuggingFace SpacesGitHub ActionsGitDocker
ML FOUNDATIONS
Scikit-learnTensorFlowPandasNumPyNLP
Let's Connect
Always interested in new opportunities, collaborations, and conversations about data science and AI.