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Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
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About
Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.
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Key Strengths
- Built and deployed production internal GenAI policy/SOP assistant using RAG on AWS (Bedrock + OpenSearch)
- Strong grounding/anti-hallucination approach (retrieval-only prompting, similarity thresholds, citation validation, monitoring/feedback loops)
- Designed secure enterprise AI systems (Cognito auth, guardrails, document-change reindexing)
- Workflow orchestration for ML/ETL with Airflow and Step Functions across Lambda/Glue/SageMaker
- Measurable impact: reduced processing time ~30% via automated orchestration; drastically reduced employee search time for policies
Reference Highlights
- Strong technical skills
- Strong work ethic
- Structured problem-solving approach
- Delivers end-to-end solutions into production
- Builds scalable and maintainable systems
- Understands business requirements well
- Improves solution reliability for real-world usage
- Excellent cross-team collaboration
- Calm demeanor
- Clear communication
- Hardworking
- Explains complex concepts simply
- Keeps stakeholders aligned
- Active listener
- Asks the right clarifying questions
- Handles team dynamics thoughtfully (brings people together early)
- Documents work clearly
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Experience
Education
Skills
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Publications
2 publications
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