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I'm an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant. I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.…I'm an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant. I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.

Nehith Komaravolu

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

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I'm an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant. I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.…I'm an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant. I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.

Available to hire

I’m an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant.

I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.

Skills

Python

Large Language Models

SQL

AWS

Azure

Experience Level

Python

Expert

Large Language Models

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at State Street

June 1, 2024 - Present

Architected an enterprise-grade Retrieval-Augmented Generation (RAG) solution leveraging Azure OpenAI and vector search, reducing investment research turnaround time by 40% while ensuring secure, compliant LLM deployment. Designed scalable NLP pipelines to process multi-million-page financial filings and internal reports, improving semantic search accuracy by 32% and empowering portfolio decision-making. Implemented prompt engineering, model evaluation, and hallucination mitigation frameworks, increasing LLM reliability by 27% and meeting SEC/FINRA compliance standards. Deployed production-ready AI microservices on Azure Kubernetes Service (AKS) with CI/CD, monitoring, and governance controls, achieving 22% cost savings. Collaborated with risk, compliance, and engineering teams to translate regulatory requirements into AI-driven solutions, accelerating audit cycles by 45%.

Machine Learning Engineer at Hexaware Technologies

July 1, 2020 - December 1, 2022

Designed and deployed ML-based clinical risk prediction models (XGBoost, LSTM) on 10M+ EHR records, reducing ICU admissions by 18% and improving early diagnosis accuracy by 25%. Engineered end-to-end ML pipelines using Python, TensorFlow and AWS, enabling real-time patient risk scoring with explainable AI (SHAP). Developed real-time fraud detection system using LightGBM and Isolation Forest processing 500K+ monthly transactions with sub-120ms latency, reducing fraudulent loan approvals by 35%. Built ensemble-based credit risk scoring models with feature engineering and Optuna hyperparameter tuning, improving AUC from 0.78 to 0.91. Implemented MLOps practices including Docker, CI/CD, model monitoring, and drift detection to ensure high availability and regulatory compliance. Collaborated with healthcare and fintech stakeholders in Agile environments, translating business needs into predictive analytics that reduced operational costs by 28%.