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I am an AI/ML engineer with 3+ years of experience building enterprise-scale NLP, LLM, and MLOps solutions across risk, fraud, compliance, and AI analytics. I thrive on turning complex data into scalable, secure AI systems that drive measurable business outcomes. I specialize in end-to-end pipelines using Python, PyTorch, TensorFlow, and Hugging Face, with a strong focus on vector databases, RAG pipelines, prompt engineering, and robust governance. I enjoy collaborating with cross-functional teams to deliver trustworthy AI in regulated domains like fintech and healthcare.…I am an AI/ML engineer with 3+ years of experience building enterprise-scale NLP, LLM, and MLOps solutions across risk, fraud, compliance, and AI analytics. I thrive on turning complex data into scalable, secure AI systems that drive measurable business outcomes. I specialize in end-to-end pipelines using Python, PyTorch, TensorFlow, and Hugging Face, with a strong focus on vector databases, RAG pipelines, prompt engineering, and robust governance. I enjoy collaborating with cross-functional teams to deliver trustworthy AI in regulated domains like fintech and healthcare.

Rutuja Bapurao Giri

AI Engineer, AI Developer, Data Scientist, +1

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I am an AI/ML engineer with 3+ years of experience building enterprise-scale NLP, LLM, and MLOps solutions across risk, fraud, compliance, and AI analytics. I thrive on turning complex data into scalable, secure AI systems that drive measurable business outcomes. I specialize in end-to-end pipelines using Python, PyTorch, TensorFlow, and Hugging Face, with a strong focus on vector databases, RAG pipelines, prompt engineering, and robust governance. I enjoy collaborating with cross-functional teams to deliver trustworthy AI in regulated domains like fintech and healthcare.…I am an AI/ML engineer with 3+ years of experience building enterprise-scale NLP, LLM, and MLOps solutions across risk, fraud, compliance, and AI analytics. I thrive on turning complex data into scalable, secure AI systems that drive measurable business outcomes. I specialize in end-to-end pipelines using Python, PyTorch, TensorFlow, and Hugging Face, with a strong focus on vector databases, RAG pipelines, prompt engineering, and robust governance. I enjoy collaborating with cross-functional teams to deliver trustworthy AI in regulated domains like fintech and healthcare.

Available to hire

I am an AI/ML engineer with 3+ years of experience building enterprise-scale NLP, LLM, and MLOps solutions across risk, fraud, compliance, and AI analytics. I thrive on turning complex data into scalable, secure AI systems that drive measurable business outcomes.

I specialize in end-to-end pipelines using Python, PyTorch, TensorFlow, and Hugging Face, with a strong focus on vector databases, RAG pipelines, prompt engineering, and robust governance. I enjoy collaborating with cross-functional teams to deliver trustworthy AI in regulated domains like fintech and healthcare.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

Expert

Expert

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Expert

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Expert

Language

English

Fluent

Work Experience

AI Engineer at Fifth Third Bank

February 1, 2025 - Present

Designed and implemented a federated LLM architecture integrating GPT-4, LangChain, and Pinecone which automated over 3 million KYC document checks across five regions, saving $5.6M annually while ensuring GDPR compliance. Developed an insider trading detection platform using XGBoost, GraphSAGE, and BERT, uncovering multiple fraud rings and reducing research latency by 80%. Simulated credit portfolio stress scenarios via a PySpark-powered digital twin, cutting Basel III reporting time from 14 days to 2 hours and improving capital planning by 18%. Delivered multilingual voicebots and generative wealth advisors leveraging Whisper-ASR and GPT-4, significantly improving customer query resolution and increasing assets under management by $74M. Implemented reinforcement learning models to optimize loan recovery, saving 150,000+ manual hours yearly and boosting resolution effectiveness. Created ESG compliance engines and contract analysis systems using advanced NLP models, achieving high accu

Machine learning Engineer at Streebo Inc

July 1, 2023 - August 20, 2025

Developed a DDPG-based trading agent handling real-time tick data to outperform conventional strategies by 14.6% Sharpe ratio while managing 1.3 million trades weekly. Modeled macroeconomic impacts with causal graphs and Bayesian structural time series, achieving 89% attribution accuracy. Built a containerized lifecycle framework for over 80 risk models to enable CI/CD pipelines with 90% faster releases. Designed a transformer-based fraud detection system for cross-border transactions capable of identifying $21M in threats within 72 hours post-deployment. Created an explainability layer merging symbolic logic and GPT-4 outputs to reduce compliance audit time by 47% while adhering to mandatory financial regulations. Automated exotic options hedging via neural stochastic differential equations with 99.5% reliability. Introduced an LLM-powered segmentation engine that improved behavioral clustering precision and marketing campaign ROI significantly.

AI Engineer at Fifth Third Bank

February 1, 2025 - Present

Orchestrated federated LLM architecture with GPT-4, LangChain, and Pinecone to streamline KYC/AML workflows across 5 regions, automating 3M+ document checks annually and reducing costs by $5.6M. Built RAG pipelines with vector databases and prompt optimization to improve compliance query retrieval accuracy by 40% and reduce false negatives. Developed an AI-driven risk monitoring framework integrating XGBoost, GraphSAGE, and BERT embeddings to detect insider trading anomalies. Implemented scalable AI microservices with FastAPI, Kafka, Docker, and Kubernetes delivering low-latency inference for 50K+ transactions per second. Deployed AI governance with MLflow, SHAP, Prometheus, and Azure Monitor for explainability and GDPR alignment. Led automated program repair evaluation benchmarking GPT-family LLMs on 1,000+ bugs to study prompt stability. Built real-time cybersecurity pipelines with federated learning and CNN-based detectors achieving 99.6% accuracy in IoT attack detection while maint

Machine Learning Engineer at Streebo Inc

July 1, 2023 - September 24, 2025

Designed and deployed end-to-end ML pipelines using Python, TensorFlow, PyTorch, and Scikit-learn, automating high-volume data processing and improving NLP and predictive analytics performance. Implemented real-time fraud detection models leveraging XGBoost, Graph Neural Networks (GraphSAGE), and PySpark, achieving 87% precision while processing 50M+ streaming events monthly via Kafka + Spark Streaming. Built multilingual chatbots with BERT, Dialogflow, and Whisper-ASR, boosting customer engagement in 5+ languages. Developed churn prediction and recommendation models with LightGBM and embeddings, increasing upsell conversions by 18% and achieving AUC 0.92. Automated MLOps with MLflow, Airflow, and Docker/Kubernetes, enabling CI/CD on AWS and Azure ML. Optimized features with Pandas, NumPy, SQL, and Azure Data Factory for scalable training. Operationalized models as RESTful APIs and microservices for enterprise-grade scalability and monitoring.

AI Engineer at Fifth Third Bank, USA

February 1, 2025 - Present

Orchestrated federated LLM architecture with GPT-4, LangChain, and vector databases to streamline KYC/AML verification across 5 regions, automating 3M+ document checks annually and reducing operational costs by $5.6M. Built advanced RAG pipelines using Pinecone/FAISS and prompt optimization, improving compliance query retrieval accuracy by 40% and reducing false negatives. Implemented AI-driven risk monitoring integrating XGBoost, GraphSAGE, and BERT embeddings to uncover insider-trading anomalies and strengthen fraud detection. Deployed scalable AI microservices with FastAPI, Kafka, Docker, and Kubernetes for low-latency inference across 50K+ transactions/second. Established AI observability and governance with MLflow, SHAP, Prometheus, and Azure Monitor for explainability, drift detection, and GDPR alignment.

Machine Learning Engineer at Streebo Inc, India

July 1, 2023 - September 24, 2025

Designed and deployed end-to-end ML pipelines using Python/TensorFlow/PyTorch/Scikit-learn, automating high-volume data processing and improving NLP and predictive analytics models. Built real-time fraud detection with XGBoost, GraphSAGE, and PySpark handling 50M+ events monthly via Kafka + Spark Streaming; achieved 87% precision. Developed multilingual conversational AI with BERT, Dialogflow, and Whisper-ASR, boosting customer engagement by 45% across 5+ languages. Implemented churn prediction and recommendation engines with LightGBM and embeddings, increasing upsell conversions by 18% and achieving an AUC of 0.92. Automated MLOps lifecycles with MLflow, Airflow, Docker/Kubernetes; deployed RESTful APIs and microservices on AWS/Azure; optimized feature engineering and data pipelines with Pandas/NumPy/SQL, improving training efficiency by 30%. Collaborated with product and DevOps teams to operationalize models with strong observability.