# Satya Dineswara Reddy Satti

> Data Scientist | Machine Learning & AI | Predictive Modeling, NLP (LLMs, RAG) | SQL, Python | Driving Business Impact  |  Open to New Opportunities”

Location: Chicago, Illinois, United States
Profile: https://flows.cv/satyadineswarareddysatti

Machine Learning Engineer with 4 years of specialized experience developing and deploying enterprise-scale AI/ML solutions in the financial services sector. Expertise in Generative AI (LLMs, RAG, GPT-4) and Deep Learning (PyTorch, TensorFlow) for enhancing client experience and process automation. Proven ability to build robust, scalable MLOps pipelines using Kubeflow, AWS SageMaker, Docker, and CI/CD, leading to a 45% reduction in model deployment time and a 20% increase in predictive model accuracy (AUC-ROC) for critical risk forecasting applications.

## Work Experience
### Machine Learning Engineer @ Northern Trust
Jan 2025 – Present | United States
•	Engineered a Retrieval-Augmented Generation (RAG) system using GPT-4 and LangChain to analyze complex financial regulations and advisory documents, cutting research time for financial advisors by 35%.
•	Implemented an enterprise-grade MLOps platform utilizing Kubeflow and AWS SageMaker, standardizing CI/CD and feature versioning with MLflow, which accelerated the model iteration and deployment cycle by 45%.
•	Developed Time Series Forecasting models (Prophet, ARIMA) in Python (statsmodels) to predict short-term currency volatility for the FX desk, yielding a 12% improvement in hedging strategy performance.
•	Applied NLP and Deep Learning (BERT) models using PyTorch to automatically classify and tag unstructured compliance documentation, reducing manual review effort by 60% and ensuring 99.9% audit trail accuracy.
•	Integrated SHAP and LIME frameworks into high-stakes Classification models (credit/risk) to provide transparent, explainable decisions, boosting stakeholder trust and model adoption rates by 20%.
•	Designed a real-time feature delivery pipeline using Apache Kafka and PySpark on AWS EC2 to ingest and process market event data, achieving sub-50ms latency for consumption by production models.
•	Optimized data models and performed Feature Engineering on Snowflake data warehouse, implementing efficient PL/SQL procedures that improved the feature extraction speed for model training by 30%.

### Machine Learning Engineer @ BrownFrame Technologies
Jan 2020 – Jan 2022 | India
•	Designed a Deep Learning model (CNN using Keras and TensorFlow) integrated with OpenCV for automated defect detection in manufacturing images, achieving 95% accuracy and decreasing product inspection time by 50%.
•	Fine-tuned a smaller LLM (BERT or a custom model using LoRA and Hugging Face) for domain-specific text generation and summarization, improving internal knowledge search efficiency by 40%.
•	Developed production-ready REST APIs (FastAPI) for inference, containerized services using Docker, and orchestrated deployment on GCP (Vertex AI, Kubernetes), handling 10,000+ daily requests.
•	Built a Regression/Classification ensemble model using scikit-learn and Python to predict customer churn, achieving an AUC-ROC of 0.88 and guiding retention efforts that saved the client an estimated $22K annually.
•	Implemented MLflow for tracking all model experiments, parameters, and metrics, creating a centralized Model Registry that reduced experimental setup time for new engineers by 25%.
•	Led A/B Testing and Statistical Analysis for model performance and business impact validation in a live production environment, ensuring only models with a statistically significant performance lift of 5% or more were deployed.
•	Designed and automated ETL/ELT workflows using Airflow to manage data transfer and Data Wrangling of over 2TB of data from PostgreSQL & MySQL to a central analytics platform.


## Education
### Master of Science - MS in Computer Science
Illinois Institute of Technology

### Bachelor of Technology - BTech in Biomedical/Medical Engineering
Lovely Professional University


## Contact & Social
- LinkedIn: https://linkedin.com/in/satyadineswarareddysatti

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Source: https://flows.cv/satyadineswarareddysatti
JSON Resume: https://flows.cv/satyadineswarareddysatti/resume.json
Last updated: 2026-04-17