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Monish Sri Sai Devineni
Mid-level Machine Learning Engineer specializing in financial AI, NLP, and MLOps
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About
AI/ML engineer with experience at Accenture and Morgan Stanley, building production LLM systems (GPT-3 summarization) and finance-focused ML models (credit risk and trading anomaly detection). Combines MLOps depth (Docker/Kubernetes, AWS SageMaker/Glue/Lambda, MLflow, A/B testing, drift monitoring) with practical domain adaptation techniques like few-shot prompting and RAG/knowledge-base integration.
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Key Strengths
- Built and deployed GPT-3-based customer support conversation summarization system
- Domain-adapting general LLMs using few-shot prompting and external knowledge sources
- Production ML/LLM pipeline orchestration with Docker, Kubernetes, and AWS (SageMaker/Glue/Lambda)
- End-to-end ML CI/CD and model governance with MLflow (evaluation, logging, drift detection)
- Reliability-focused evaluation approach using A/B testing plus monitoring/metrics visualization
- Strong finance domain application experience (credit risk prediction; anomaly detection in trading patterns)
- Effective collaboration with non-technical stakeholders via Power BI dashboards and feedback loops with fraud analysts
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