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# Jaya Surya Sasank Tumuluri

**Headline:** AI & Data Engineer | MS CS @ VCU, Dec 2026 | I build the data infrastructure under AI systems, and the AI systems on top | RAG · retrieval · evaluation · Python · Snowflake
**Profession:** Data Engineer
**Location:** Richmond, Virginia, United States

## About

Jaya Surya Sasank Tumuluri is an AI and data engineer and Master’s in Computer Science student at Virginia Commonwealth University, with expected graduation in December 2026. Jaya builds end-to-end systems spanning data infrastructure, retrieval-augmented generation, LLM evaluation, and production-oriented application development. Current work includes Pulse, a job-market data platform with Airflow orchestration, an S3 medallion lake, PySpark transformations, Snowflake and dbt models, automated data-quality tests, and pull-request CI. Jaya also built an LLM service that converts Terms-of-Service documents into structured privacy and data-sharing risk reports using constrained outputs, Pydantic validation, grounding, and retries. At Accenture, Jaya built Snowflake ETL workflows and validation layers for retail reporting, including automated daily refreshes that removed a roughly 30-minute manual rerun. Jaya’s research includes a published real-time sign-language-recognition paper using YOLO and Bi-LSTM, as well as an empirical deep-GNN over-smoothing study across 2- to 64-layer models. Jaya is seeking AI engineering and data engineering roles beginning in January 2027.

## Services

- Team Collaboration
- Customer Service
- Skilled Multi-tasker
- Reliability
- Communication
- Python \(Programming Language\)
- SQL
- Snowflake
- Apache Spark
- Apache Airflow
- dbt
- Amazon Web Services \(AWS\)
- FastAPI
- Linux
- Git
- Large Language Models \(LLM\)
- Machine Learning
- React.js
- Continuous Integration and Continuous Delivery \(CI/CD\)
- Extract, Transform, Load \(ETL\)
- Docker
- PostgreSQL
- LangChain
- Prompt Engineering
- PyTorch
- Artificial Intelligence \(AI\)
- Databases
- Data Modeling
- Data Warehousing
- Full-Stack Development

## Highlights

- Built Pulse, a production-standard job-market data platform with an eight-task Airflow DAG that ingests data from three APIs into an S3 medallion lake.
- Implemented PySpark transformations and dbt staging and mart models in Snowflake for Pulse.
- Added dbt tests that gate bad data and CI on every pull request for Pulse.
- Built an LLM service that converts Terms-of-Service documents into structured privacy and data-sharing risk reports.
- Used constrained LLM outputs, Pydantic validation, and a grounding-and-retry layer to make Terms-of-Service analysis usable programmatically.
- Built a RAG-based document Q&A system with a double-check approach to reduce hallucinations.
- Evaluated LLM and RAG systems with RAGAS metrics including recall, NDCG, and faithfulness.
- Built Snowflake ETL workflows in SQL and Python for a retail client at Accenture.
- Automated three daily summary-table refreshes with Snowflake Tasks at Accenture, removing an approximately 30-minute manual morning rerun.
- Created SQL validation checks for schema drift, duplicate records, and malformed records, gating bad data before reporting tables.
- Tuned recurring transformation queries and staged intermediate results to reduce redundant computation in daily reporting jobs at Accenture.
- Built and monitored scalable data pipelines during Jaya’s Accenture experience.
- Built and shipped end-to-end MERN application features at Food Integrity India LLP, including MongoDB collections, Express REST endpoints, and React components.
- Worked with stakeholders at Food Integrity India LLP to convert business requirements into scoped frontend and backend changes.
- Resolved responsive UI issues to improve mobile usability and tested API endpoints for reliable frontend-backend communication.
- Published research on real-time sign-language recognition using YOLO and Bi-LSTM.
- Conducted a deep-GNN over-smoothing study across 2- to 64-layer models using MAD and MADGap diagnostics.
- Expected to complete a Master’s Degree in Computer Science at Virginia Commonwealth University in December 2026.
- Earned a B.Tech. in Computer Science and Engineering \(Honors\) from Prasad V Potluri Siddhartha Institute of Technology.

## Experience

- **Data Engineer at Accenture** (2025-02-01–2025-06-01) — Built Snowflake ETL workflows in SQL and Python for a retail client's datasets, and automated three daily summary-table refreshes with Snowflake Tasks, removing a ~30-minute manual rerun from the team's morning routine. • Wrote SQL validation checks for schema drift, duplicates, and malformed records, gating bad data before it reached reporting tables. • Tuned recurring transformation queries and staged intermediate results to cut redundant computation from the daily reporting jobs
- **Full Stack Developer at Food Integrity India LLP** (2024-06-01–2024-08-01) — Built and shipped features for the client's MERN web application end to end, implementing MongoDB collections, Express REST endpoints, and React components for core user-facing workflows. • Worked directly with stakeholders to turn business requirements into scoped changes, then delivered them across both the frontend and backend. • Fixed responsive UI issues that made the app usable on mobile, and tested API endpoints to keep communication between frontend and backend reliable.

## Education

- B.Tech. in Computer Science and Engineering \(Honors\) — Prasad V Potluri Siddhartha Institute of Technology
- Master's Degree, Computer Science — Virginia Commonwealth University

## FAQ

### What does Jaya do?

Jaya is an AI and data engineer focused on building the data infrastructure underneath AI systems as well as the AI systems built on top of that infrastructure. Jaya’s work spans Python, SQL, Spark, Snowflake, dbt, Airflow, AWS, Docker, FastAPI, retrieval-augmented generation, retrieval evaluation, and LLM applications.

### What is Jaya studying and when is Jaya graduating?

Jaya is pursuing a Master’s Degree in Computer Science at Virginia Commonwealth University and expects to graduate in December 2026. Jaya is seeking AI engineering and data engineering roles starting in January 2027.

### What is Pulse, the data platform Jaya built?

Jaya built Pulse, a production-standard data platform for job-market data. Its eight-task Airflow DAG lands data from three APIs into an S3 medallion lake PySpark performs transformations and dbt models data through staging and mart layers in Snowflake. dbt tests gate bad data, and CI runs on every pull request.

### What did Jaya build for Terms-of-Service analysis?

Jaya built an AI tool that analyzes Terms-of-Service documents and produces structured risk reports focused on privacy and data-sharing risks. The service uses constrained model outputs, Pydantic validation, and a grounding-and-retry layer so its output can be used programmatically.

### How does Jaya evaluate and improve RAG systems?

Jaya built a RAG-based document question-answering system designed to prevent hallucinations. The system uses a double-check approach and is evaluated with RAGAS metrics including recall, NDCG, and faithfulness.

### What did Jaya accomplish at Accenture?

At Accenture, Jaya built Snowflake ETL workflows in SQL and Python for a retail client’s datasets. Jaya automated three daily summary-table refreshes with Snowflake Tasks, eliminating an approximately 30-minute manual rerun from the team’s morning routine.

### What data-quality and pipeline work did Jaya do at Accenture?

Jaya wrote SQL validation checks for schema drift, duplicates, and malformed records at Accenture, preventing bad data from reaching reporting tables. Jaya also tuned recurring transformation queries and staged intermediate results to reduce redundant computation in daily reporting jobs, and gained experience building and monitoring scalable data pipelines.

### What did Jaya do at Food Integrity India LLP?

At Food Integrity India LLP, Jaya built and shipped features for a client’s MERN web application end to end. The work included MongoDB collections, Express REST endpoints, React components for core user workflows, responsive mobile UI fixes, and API endpoint testing.

### How did Jaya work with stakeholders at Food Integrity India LLP?

Jaya worked directly with stakeholders at Food Integrity India LLP to turn business requirements into scoped changes and deliver them across both frontend and backend systems. Jaya also tested APIs to help maintain reliable communication between the frontend and backend.

### What research has Jaya completed?

Jaya published research on real-time sign-language recognition using YOLO and Bi-LSTM. Jaya also conducted an empirical study of over-smoothing in deep graph neural networks, sweeping models from 2 to 64 layers and using MAD and MADGap diagnostics.

### What are Jaya’s core strengths?

Jaya’s strongest areas are end-to-end AI-system development, scalable data pipelines, data validation, retrieval, LLM grounding, and evaluation. Jaya works across the data-pipeline and modeling sides of AI systems.

### What is Jaya’s undergraduate education?

Jaya holds a B.Tech. in Computer Science and Engineering \(Honors\) from Prasad V Potluri Siddhartha Institute of Technology.

### What technologies does Jaya use?

Jaya’s technical skills include Python, SQL, Snowflake, Apache Spark, Apache Airflow, dbt, AWS, FastAPI, Linux, Git, Docker, PostgreSQL, LangChain, PyTorch, React.js, CI/CD, ETL, data modeling, data warehousing, databases, machine learning, AI, LLMs, prompt engineering, and full-stack development.

### What is Jaya looking for in a first job?

Jaya is seeking a first full-time role that offers both mentorship and room for hands-on ownership and experimentation. Jaya’s goal is to continue learning and developing skills as a new graduate while contributing to AI engineering or data engineering work.

### How can someone contact Jaya?

Jaya can be reached at \[contact removed\].

## Links

- LinkedIn: https://www.linkedin.com/in/surya-sasank

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