AI/ML Engineer — I build production ML systems and Generative AI applications: RAG pipelines, agentic workflows, and MLOps on AWS.
🚀 Currently: AI/ML Engineer @ UnitedHealth Group — clinical risk scoring, RAG document search, and ML platform/CI/CD 🎓 MS in Computer Science (Machine Learning), University of South Dakota 💡 6+ years across data engineering → data science → AI/ML engineering 🧩 400+ LeetCode problems solved (223 in C++, 186 in Python)
🤖 Local Agentic Copilot — Local-first agentic RAG system with hybrid retrieval (dense + BM25), cross-encoder reranking, page-aware PDF citations, deterministic guardrails, and a multi-agent self-correction loop. Runs fully local on Ollama + Qwen, with reproducible evals and automated tests.
🔗 https://github.com/Sailaja-ASB/local-agentic-copilot
📈 Deep RL for Stock Trading — PPO, A2C, and Double DQN agents trained on real market data in a custom trading environment, with architecture tuning and reward shaping to control overfitting.
🔗 https://github.com/Sailaja-ASB/Deep-RL-Stock-Trading
💳 Credit Card Fraud Detection — Machine learning models for detecting fraudulent credit card transactions.
🔗 https://github.com/Sailaja-ASB/Credit-Card-Fraud-Detection
✍️ Fake Reviews Detection (NLP) — Fake vs. real review classification with NLP preprocessing, TF-IDF, and ML classifiers.
🔗 https://github.com/Sailaja-ASB/Fake-Reviews-Detection-NLP
Languages: Python, C++, SQL · ML/AI: PyTorch, TensorFlow, scikit-learn, XGBoost · GenAI: LangChain, FAISS, ChromaDB, RAG, embeddings, prompt engineering, agentic workflows · Data: PySpark, Kafka, Airflow, Snowflake · MLOps: SageMaker, MLflow, Docker, Kubernetes, GitHub Actions, Prometheus, Grafana
- 💼 LinkedIn: https://www.linkedin.com/in/sailajamorrennagari
- 🧩 LeetCode: https://leetcode.com/u/Its_Sailaja/
- 📧 Email: [email protected]