Hello — thanks for stopping by! 👋
I'm Akanksha, an AI/ML Engineer and AWS Community Builder (AI Engineering) with 5+ years of experience. Under ML, I work on claims-based risk stratification, surgical-escalation modeling, cost-trajectory forecasting— and on the same engineering foundation, I build production-grade agentic systems: multi-agent orchestration, tool-augmented LLM reasoning, MCP-grounded context, and guardrail-enforced execution on live cloud infrastructure. I build and share in public through articles, posts, reviews, and hackathons — always from the production side. 🚀
A few things I've built:
- Claims-based predictive models — risk stratification, cohort segmentation, and cost-trajectory forecasting — with leakage-safe temporal validation, calibration, and explainability for clinical and operational decision support.
- Classifiers like a musculoskeletal surgical-escalation models that flags high-risk members for early intervention, turning large-scale claims data into actionable clinical signals.
- Supervisor-coordinated multi-agent systems with role-specialized workers — distributed tracing for evidence lineage and replayability, with RBAC, constraints, and PII redaction as first-class primitives.
- An agentic AIOps platform that drives full incident lifecycles on live AWS infrastructure, using detection, investigation and remediation orchestration across CloudWatch, logs, and CloudTrail for root-cause analysis.
- Authored declarative Custom Skills and context in .md that steer agents from open exploration to directed procedure-following, with guardrails validated by confirming agents refuse out-of-scope tasks.
Python · SQL · TypeScript · TensorFlow (Keras) · PyTorch · LangChain · LangGraph · Strands · Tableau · Power BI · TensorBoard · ML · DL · NLP · LLMs · RAG · AWS · Azure · GCP · SageMaker · MLflow · Kubernetes · FastAPI · Streamlit · GitHub · Claude Code · Cursor
✴️ Agentic AI ✴️ MCP ✴️ Machine Learning ✴️ Deep Learning ✴️ Statistics ✴️ Python ✴️ Azure ✴️ Azure DataFactory ✴️ Power BI ✴️ AWS ✴️ Data Modeling ✴️ Data Cleaning ✴️ Data Analysis
✴️ Debugging ✴️ Problem Solving

