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I'm Kesani Sireesha, an AI/ML Engineer with 2.5+ years of experience designing and deploying ML and NLP solutions in healthcare and banking. I enjoy turning complex business requirements into scalable AI systems, leveraging Python, ML frameworks, and cloud-based data engineering to deliver real-time insights and improved decision making. I thrive in Agile, cross-functional teams and global delivery environments, prioritizing data security (HIPAA, PII masking) and robust CI/CD/MLOps practices. I focus on end-to-end pipelines, model deployment via REST APIs, and aligning technical work with business objectives to drive efficiency and impact.…I'm Kesani Sireesha, an AI/ML Engineer with 2.5+ years of experience designing and deploying ML and NLP solutions in healthcare and banking. I enjoy turning complex business requirements into scalable AI systems, leveraging Python, ML frameworks, and cloud-based data engineering to deliver real-time insights and improved decision making. I thrive in Agile, cross-functional teams and global delivery environments, prioritizing data security (HIPAA, PII masking) and robust CI/CD/MLOps practices. I focus on end-to-end pipelines, model deployment via REST APIs, and aligning technical work with business objectives to drive efficiency and impact.

sireesha kesani

AI Engineer, Data Scientist, Data Analyst, +2

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I'm Kesani Sireesha, an AI/ML Engineer with 2.5+ years of experience designing and deploying ML and NLP solutions in healthcare and banking. I enjoy turning complex business requirements into scalable AI systems, leveraging Python, ML frameworks, and cloud-based data engineering to deliver real-time insights and improved decision making. I thrive in Agile, cross-functional teams and global delivery environments, prioritizing data security (HIPAA, PII masking) and robust CI/CD/MLOps practices. I focus on end-to-end pipelines, model deployment via REST APIs, and aligning technical work with business objectives to drive efficiency and impact.…I'm Kesani Sireesha, an AI/ML Engineer with 2.5+ years of experience designing and deploying ML and NLP solutions in healthcare and banking. I enjoy turning complex business requirements into scalable AI systems, leveraging Python, ML frameworks, and cloud-based data engineering to deliver real-time insights and improved decision making. I thrive in Agile, cross-functional teams and global delivery environments, prioritizing data security (HIPAA, PII masking) and robust CI/CD/MLOps practices. I focus on end-to-end pipelines, model deployment via REST APIs, and aligning technical work with business objectives to drive efficiency and impact.

Available to hire

I’m Kesani Sireesha, an AI/ML Engineer with 2.5+ years of experience designing and deploying ML and NLP solutions in healthcare and banking. I enjoy turning complex business requirements into scalable AI systems, leveraging Python, ML frameworks, and cloud-based data engineering to deliver real-time insights and improved decision making.

I thrive in Agile, cross-functional teams and global delivery environments, prioritizing data security (HIPAA, PII masking) and robust CI/CD/MLOps practices. I focus on end-to-end pipelines, model deployment via REST APIs, and aligning technical work with business objectives to drive efficiency and impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Elevance Health

August 1, 2025 - Present

Designed and implemented an LLM-based healthcare analytics assistant for claims analysis and clinical decision support, enabling natural language querying over EHR and claims datasets and reducing dependency on SQL-based reporting. Built a RAG pipeline with FAISS vector store and OpenAI embeddings, including recursive text chunking, improving retrieval precision for clinical guidelines, claims insights, and member-level analytics. Exposed the LLM pipeline via REST APIs using AWS Lambda and API Gateway, delivering real-time AI-driven insights (~1.5 to 2 sec latency) for business and care management teams, with CI/CD pipelines using GitHub Actions and Docker. Ensured HIPAA-compliant data processing with PII masking, AES-256 encryption, and IAM-based access control for secure handling of sensitive healthcare data.

AI /ML Engineer at HCL Tech

November 1, 2022 - July 1, 2024

Designed end-to-end ML pipelines for fraud detection and customer personalization in banking using Python, Scikit-learn, and SQL, enabling real-time scoring and improved detection coverage. Built supervised ML models (Logistic Regression, Random Forest, XGBoost, LightGBM) on 20M+ transaction records, applying cross-validation, hyperparameter tuning, and ensemble methods to improve fraud recall by 20%. Engineered banking-specific features (transaction velocity, geo-location variance, device fingerprinting, temporal anomalies) to enhance model precision and reduce false positives. Applied K-Means clustering for customer segmentation, enabling targeted campaigns that improved cross-sell/up-sell response rates by 15 to 18%. Developed ETL pipelines using SQL, Snowflake, and Azure Databricks for high-quality data ingestion, reducing pipeline latency by ~25% and ensuring reproducible feature workflows. Deployed ML models as REST APIs using FastAPI and Azure ML for real-time fraud scoring, ach