Nikhil Sai Raishetty
📍 Auburn, AL  |  Expected May 2026
Data Engineer & ML Researcher

Nikhil
Sai
Raishetty

Building intelligent data systems at the intersection of ML, cloud engineering, and real-time pipelines. Currently researching LLMs & RAG for rare disease diagnosis at Auburn University.

↓ View Projects Let's Talk →
5+
Projects Built
2026
Graduating
AWS
Certified
nikhil@aurora ~ profile.py
$ python3 profile.py   name = "Nikhil Sai Raishetty" role = "MS Data Engineering @ Auburn" location = "Auburn, AL 🦅"   focus = [   "ETL Pipelines",   "LLM / RAG Research",   "Cloud Architecture",   "Deep Learning" ]   cert = "AWS Solutions Architect ✓"   ▸ ready_to_build() → True
001 — About

The Story So
Far.

I'm a Data Engineering master's candidate at Auburn University, where I also serve as a Graduate Teaching Assistant across Software Engineering, Web Dev, and Data Structures courses.

My research sits at the frontier of LLMs and Retrieval-Augmented Generation applied to rare disease diagnosis — where clean data pipelines meet meaningful human impact.

From building serverless AWS pipelines with Terraform and Step Functions, to training deep learning gesture recognition models at 99% accuracy, I thrive at the intersection of data engineering and applied ML.

☁️
AWS Certified Solutions Architect – Associate
Amazon Web Services
🧠
Supervised Machine Learning
DeepLearning.AI
Education
M.S. Data Engineering
Auburn University, Auburn AL
Expected May 2026
B.Tech Computer Science & Engineering
TKR College of Engineering, Hyderabad
June 2023
Currently
🔬
Research: LLMs + RAG for Rare Disease Diagnosis
Auburn University — Active Research
👨‍🏫
Graduate Teaching Assistant
Software Eng, Data Structures, Web Dev, Computer Org
002 — Skills

What I
Work With.

Data & Analytics
🐍
Python
🗃️
SQL
📊
Power BI
📈
Tableau
📋
Excel (Advanced)
📉
R
Cloud & Engineering
☁️
AWS
🏗️
Terraform
🔄
ETL Pipelines
🏛️
Data Warehousing
🌊
AWS Kinesis
⚡
AWS Glue
Machine Learning & AI
🔥
PyTorch
🧠
TensorFlow
👁️
OpenCV
🤖
LLMs / RAG
📦
Statistical Modeling
🐼
Pandas / NumPy
003 — Experience

Where I've
Worked.

Jan 2025 – Present
Auburn University
Auburn, AL
Graduate Teaching Assistant
  • Supported instruction across Software Engineering, Data Structures, Web Development, and Computer Organization.
  • Clarified technical concepts and assisted students with complex assignments and projects.
  • Evaluated submissions for correctness and adherence to engineering requirements.
Aug 2024 – Dec 2024
Innovation & Research Center
RBD Library, Auburn
Data Space Consultant
  • Gathered analytical requirements from students and faculty; translated needs into data workflows and BI solutions.
  • Developed Tableau dashboards and analytical pipelines using Python and R for exploration and insight generation.
  • Documented methodologies and validated results to ensure stakeholder alignment and data-driven research decisions.
Jan 2024 – Mar 2024
Unified Mentor
Remote
Data Analyst Intern
  • Conducted EDA and data cleaning using Python (Pandas), Excel (PivotTables, XLOOKUP), and Tableau to identify trends.
  • Built interactive Tableau dashboards for stakeholder reporting with actionable business insights.
  • Performed data validation, statistical summaries, and QA checks for accurate, data-driven recommendations.
004 — Projects

Things I've
Built.

01
🤖
AI-Based Predictive Modeling for Gesture Recognition

Deep learning pipeline on the HaGRID 30K dataset achieving 99% training accuracy with ResNet, MobileNetV2, EfficientNet, and ConvNeXt. Real-time inference pipeline with OpenCV and MediaPipe.

TensorFlow PyTorch OpenCV MediaPipe ResNet EfficientNet
02
☁️
YouTube Data Engineering Pipeline

Fully automated serverless data pipeline on AWS using Terraform IaC, ingesting YouTube statistics through Bronze/Silver/Gold data lake layers in S3. Streaming-ready with Kinesis Data Streams.

AWS Terraform Step Functions Glue Kinesis EventBridge
03
📊
Sales Orders Data Analysis Pipeline

Relational SQL data models with complex CTEs and window functions for scalable analytical reporting. Python-driven ETL with data integrity validation and interactive BI dashboards for revenue insights.

Python SQL Pandas Power BI Tableau
GitHub — Public Repositories

Open Source Work.

Live from github.com/NIKHILSAI9390

Fetching repositories…
005 — Contact

From Raw Data
to Real Impact.

Open to Data Engineering, Data Science, Analytics, and ML roles. Let's connect.

nzr0066@auburn.edu nikhilsairaishetty2026@gmail.com
GitHub LinkedIn 📞 +1 334-849-9078