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I am a machine learning engineer with 3+ years of experience building real-time ML systems for fraud detection, anomaly detection, and LLM-powered automation. I design end-to-end solutions on AWS, deploy containerized microservices, and optimize latency and cost while maintaining high uptime. I enjoy turning data into actionable insights and collaborating with cross-functional teams to ship reliable, scalable ML products. I thrive in fast-paced environments and am passionate about MLOps, model monitoring, and continuous improvement through experiments. I love exploring generative AI capabilities to automate decision-making and empower teams with practical copilots and dashboards.…I am a machine learning engineer with 3+ years of experience building real-time ML systems for fraud detection, anomaly detection, and LLM-powered automation. I design end-to-end solutions on AWS, deploy containerized microservices, and optimize latency and cost while maintaining high uptime. I enjoy turning data into actionable insights and collaborating with cross-functional teams to ship reliable, scalable ML products. I thrive in fast-paced environments and am passionate about MLOps, model monitoring, and continuous improvement through experiments. I love exploring generative AI capabilities to automate decision-making and empower teams with practical copilots and dashboards.

Shanmukha Sreenivas Deety

Data Scientist, AI Developer, Full Stack Developer, +2

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I am a machine learning engineer with 3+ years of experience building real-time ML systems for fraud detection, anomaly detection, and LLM-powered automation. I design end-to-end solutions on AWS, deploy containerized microservices, and optimize latency and cost while maintaining high uptime. I enjoy turning data into actionable insights and collaborating with cross-functional teams to ship reliable, scalable ML products. I thrive in fast-paced environments and am passionate about MLOps, model monitoring, and continuous improvement through experiments. I love exploring generative AI capabilities to automate decision-making and empower teams with practical copilots and dashboards.…I am a machine learning engineer with 3+ years of experience building real-time ML systems for fraud detection, anomaly detection, and LLM-powered automation. I design end-to-end solutions on AWS, deploy containerized microservices, and optimize latency and cost while maintaining high uptime. I enjoy turning data into actionable insights and collaborating with cross-functional teams to ship reliable, scalable ML products. I thrive in fast-paced environments and am passionate about MLOps, model monitoring, and continuous improvement through experiments. I love exploring generative AI capabilities to automate decision-making and empower teams with practical copilots and dashboards.

Available to hire

I am a machine learning engineer with 3+ years of experience building real-time ML systems for fraud detection, anomaly detection, and LLM-powered automation. I design end-to-end solutions on AWS, deploy containerized microservices, and optimize latency and cost while maintaining high uptime. I enjoy turning data into actionable insights and collaborating with cross-functional teams to ship reliable, scalable ML products.

I thrive in fast-paced environments and am passionate about MLOps, model monitoring, and continuous improvement through experiments. I love exploring generative AI capabilities to automate decision-making and empower teams with practical copilots and dashboards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at DXC Technology, NC

September 1, 2024 - November 26, 2025

Engineered a real-time fraud detection system on AWS SageMaker using scikit-learn, XGBoost, and TensorFlow/PyTorch; added temporal graph features (TGN) and TCN sequence modeling, lifting AUC-PR by 22% and reducing FPR by 15%.

Artificial Intelligence Engineer at Mind Graph Technologies, Hyderabad, India

July 1, 2023 - July 1, 2023

Deployed an LLM troubleshooting copilot for production lines using LangChain, RAG with FAISS/Pinecone, and GPT‑4 served with vLLM; grounded on SOPs, sensor logs, and tickets, reducing triage time by ~35% with p95 latency < 250 ms.

Data Scientist at Mind Graph Technologies, Hyderabad, India

June 1, 2022 - June 1, 2022

Built SKU-by-line demand forecasts using Prophet and LightGBM; deployed real-time compliance and anomaly detection on IoT signals with Isolation Forest and One-Class SVM, plus a TCN and GraphSAGE, reducing undetected violations by ~27% and MTTR by ~32%.