AI Engineer
Grounded RAG systems, evaluation workflows, prompt orchestration, retrieval design, and transparent output behavior.
Portfolio
I deliver AI and ML systems that are reliable, measurable, and ready to ship.
I build grounded AI workflows, clinical NLP tools, machine learning platforms, and backend systems for teams that need real results. Available for full-time roles starting December 2026, and currently an M.S. student in Artificial Intelligence and Business Analytics at the University of South Florida with a 3.9/4.0 GPA.
How I help teams
Three complementary strengths for strong engineering delivery.
ML Engineer
Model training, serving, experiment tracking, monitoring, explainability, and data-driven production readiness.
Software Engineer
Backend APIs, data-rich platforms, testing, CI/CD, deployment, and reliability across real-world systems.
Selected Work
Projects that show technical range, not just one narrow title.
Healthcare AI
Repository
Grounded Medical RAG
Retrieval-first medical question answering system built around grounded responses, evaluation discipline, and evidence-aware behavior in a high-stakes domain.
- Resume and LinkedIn highlight hallucination rate reduction from 1.00 to 0.33.
- Combines retrieval, validation, deployment thinking, and measurable evaluation.
MLOps
Repository
Fraud Detection MLOps System
Production-style fraud detection platform with serving, explainability, monitoring, and deployment assets.
- Resume metrics: ROC-AUC 0.97, Precision 94%, Recall 82%.
- Strong signal for FastAPI, MLflow, Docker, Kubernetes, Redis, PostgreSQL, and CI/CD.
Clinical NLP
Repository
Clinical NLP Span Extraction
Clinical note evidence extraction workflow built around token classification, CRF modeling, evaluation, and error analysis.
- Public repo currently shows baseline, tuned linear, CRF, and biomedical transformer experiments.
- Good signal for NLP evaluation, sequence labeling, and honest experimental iteration.
Software Platform
Repository
EduVision MVC
Multi-role academic platform with dashboards, analytics, authentication, SQL-backed modeling, and deployment workflow.
- Shows ASP.NET Core MVC, Entity Framework Core, diagnostics, migrations, and full-stack product thinking.
- Important software engineering counterweight to the AI and ML work.
Experience
Work that connects research-style thinking with delivery.
Graduate Teaching Assistant, Python for Business
Built an automated grading workflow with pytest and GitHub Actions for 1,200+ submissions per semester while supporting 150+ students through labs, debugging help, and analytics-focused coursework.
Product Engineer
Built Java and Spring Boot APIs for enterprise procurement workflows and improved multi-table SQL performance across supplier onboarding and transaction-heavy operations.
AI and Prompt Engineer
Worked on prompt evaluation, quality analysis, and responsible behavior across GPT and open-source model workflows.
Education
Accurate academic profile.
University of South Florida
M.S. Artificial Intelligence and Business Analytics
Jan 2025 - Dec 2026 GPA 3.9/4.0M.S. Ramaiah Institute of Technology
B.E. Computer Science and Engineering
Aug 2020 - Jul 2024 CGPA 8.74/10Skills
Core tools across AI, ML, data, and backend systems.
AI and ML
Python, PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face, DeBERTa, BioBERT, RAG, LangChain, QLoRA, MLflow
Backend and Data
FastAPI, Java, Spring Boot, C#, ASP.NET Core MVC, SQL, PostgreSQL, Redis, SQL Server, Pandas, NumPy
Infra and Delivery
Docker, Kubernetes, GitHub Actions, Prometheus, SHAP, Tableau, Power BI, API testing, deployment workflows
Contact
Ready for full-time AI Engineer, ML Engineer, and Software Engineer roles starting December 2026.
Reach out by email or LinkedIn to discuss projects, internships, or full-time opportunities.