MS

Mamidi Sri Teja

As an Applied AI Engineer, I am driven by a deep curiosity and ambition to master complex challenges, constantly seeking innovative solutions to real-world problems. My diligent approach ensures high-quality outcomes, and I thrive in collaborative environments where collective effort leads to groundbreaking advancements. I am dedicated to continuously refining my expertise and pushing the boundaries of AI to deliver impactful results.

Contact details — on requestProof of Work — on request

Experience

Deloitte

Applied AI Engineer - Claims Intelligence Platform

Deloitte · Apr 2025 – Present

Not yet confirmed
  • Built and maintained production RAG pipelines (ChromaDB vector retrieval, FlashRank cross-encoder reranking) supporting LLM-assisted compliance reporting and claim decision support monitored pipeline performance via CloudWatch and Tableau dashboards.
  • Built anomaly detection spanning both infrastructure telemetry (AWS CloudWatch statistical baselines across 5 claims microservices, 10k+ daily transactions) and the fraud detection/claims estimation models themselves (monitoring for prediction drift and anomalous outputs, carried over from Carelon, with MLflow experiment tracking) combined impact: 40% reduction in MTTD and 30% reduction in P1 escalations.
  • Supported the document processing pipeline automated text extraction, document classification, and key information extraction from scanned claim documents in the intake workflow.
  • Delivered 15+ RCA-driven fixes across priority claims services, reducing recurring defects by 30% and sustaining zero critical post-release defects across Q2-Q3 2025.
  • Built and maintained MLOps and CI/CD pipelines for claims AI modules with automated regression testing, sustaining zero production downtime across releases.
C

Software Engineer - ML-Augmented Claims Platform

Carelon Global Solutions · Nov 2023 – Mar 2025

Not yet confirmed
  • Wrote feature engineering and model training code for the fraud detection model (XGBoost classifier) deployed with the team to AWS SageMaker for real-time inference, with model artifacts stored in S3.
  • Wrote feature engineering and model training code for the claims cost and time estimation models (Gradient Boosting Regressor, XGBoost Regressor) integrated into the adjudication workflow and deployed via SageMaker.
  • Contributed to integrating the document processing pipeline (Tesseract OCR, spaCy, BERT NER) into the claims intake system alongside the fraud and estimation models.
  • Monitored production model metrics and business KPIs across all three systems; maintained the automated retraining pipeline that refreshes models against claims data drift.

Skills 0 proven through work

Also works with

Ableflow UsageAblabs UsageDPVal UsageShadow DeploymentEmbedding Models UsageFull-stack DevelopmentProduct DevelopmentApp ManagementPractical InstructionMentoring and Peer CoachingProject ExecutionHyperparameter TuningModel Fine-TuningAccuracy Metric InterpretationXGBoost ModelingEnsemble LearningData EngineeringFraud Detection System DevelopmentDatadog UsageDockerMLflow UsageAI Model TestingModel Selection Trade-Off AnalysisModel Training ExecutionDataset VersioningMachine Learning Applicationscikit-learnCodingAnomaly DetectionData TransformationAutomated Summarization SystemsPrompt EngineeringK-Retrieval MethodRetrieval-Augmented GenerationLLM Application IntegrationRedis Cache ImplementationMongoDBDashboard UI DesignCloud MonitoringGrafana Dashboard DevelopmentTableauApplication MonitoringRagas Framework UsageLangsmith UsageA/B TestingCanary DeploymentAWS DeploymentUAT Sign-offUnit TestingVector Database UsageEmbedding GenerationText EmbeddingDocument ChunkingRe-rankingChatbot Development

Proof of Work

Proof of Work

Mamidi shares this with people who ask. You'll hear back either way.

Education

B.Tech, Electronics & Communication Engineering

Lovely Professional University · NaN — 2023

Contact details

Contact details

Mamidi shares this with people who ask. You'll hear back either way.

What drives their work

The Builder — Turns plans into structure

The Builder

Turns concepts into robust, deployed systems.

Mamidi's superpower

You excel at bringing complex AI/ML projects to life, ensuring they are built, deployed, and monitored effectively.

How Mamidi works

You would thrive in teams focused on developing and deploying scalable AI/ML solutions, especially those that encourage end-to-end ownership and continuous learning.

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