# Tarun Aditya Kusupati

> AI Engineer | LLMs, RAG, Vector DBs, Intelligent Agents | MLOps & Scalable AI Systems | Production-Ready ML

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

AI/ML Engineer with 3+ years of experience building and deploying machine learning solutions in large-scale production environments. Strong expertise in Python, SQL, cloud platforms, and MLOps, with hands-on experience in ETL pipelines and distributed data systems.

Skilled in forecasting, NLP, experimentation, and risk analytics, with a focus on developing scalable, data-driven solutions that drive measurable business impact.

## Work Experience
### AI Engineer @ Intuit
Jan 2025 – Present | United States
 Designed intelligent agents and context pipelines, improving response accuracy by 28% across financial workflows.
 Engineered scalable data pipelines processing 5M records daily, reducing latency by 35% in production systems.
 Built retrieval augmented generation systems integrating vector databases, increasing query relevance scores consistently.
 Developed machine learning models for customer insights, boosting retention metrics by 18% within two quarters.
 Implemented automated experimentation frameworks, enabling A/B testing pipelines that improved feature adoption rates.
 Optimized model deployment workflows using containerization, decreasing release cycles and improving system reliability.
 Collaborated with cross-functional teams delivering AI-driven solutions, contributing to incremental annual revenue growth.
 Designed context-aware recommendation systems leveraging user behavior data, increasing engagement metrics significantly.
 Integrated APIs and external data sources, enhancing system interoperability and accelerating processing efficiency by 25%.
 Strengthened monitoring pipelines for model drift detection, reducing performance degradation incidents by 31% across deployments.

### Data Scientist @ Borland Software
Jan 2021 – Jan 2023 | India
 Delivered predictive churn and customer segmentation models, contributing to a 19% reduction in customer attrition.
 Applied regression and classification techniques to support pricing analytics and revenue optimization for enterprise clients.
 Processed high volume datasets using Spark and Databricks, accelerating distributed computations by 45%.
 Executed statistical inference and hypothesis testing to validate business hypotheses and guide leadership decisions.
 Implemented NLP driven text mining solutions to improve document classification and internal knowledge retrieval by 33%.
 Automated data ingestion pipelines integrating APIs, JSON, and relational databases, lowering manual processing effort.
 Assessed model robustness through cross validation and performance diagnostics to ensure production reliability.
 Delivered interactive dashboards and analytical reports translating complex findings into actionable business insights.
 Maintained version control and coding standards using GitHub and Linux-based environments.
 Assisted in transitioning analytics workloads to cloud ready architectures, improving scalability and reducing costs by 28%.
 Operated within Agile and Scrum frameworks to align analytical delivery with sprint goals and stakeholder priorities.


## Education
### Master's degree in Computer Science
University of Dayton

### Bachelor of Technology - BTech in Computer Engineering
Ajeenkya D Y Patil University


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

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Source: https://flows.cv/tarunadityakusupati
JSON Resume: https://flows.cv/tarunadityakusupati/resume.json
Last updated: 2026-04-16