Open to Work

Saranya
Madala

>

Data Engineer & AI/ML Engineer with 4 years of experience building cloud data pipelines, machine learning systems, and production AI applications. MS in Computer Science at UNT — graduating May 2026.

3.73
GPA
4
Years Exp
4
Certifications
1st
Hackathon
SM
Saranya Madala
Data Engineer · AI/ML Engineer
Data Engineering AI/ML Azure RAG PySpark
open_to_work
about

Who I Am

I'm a Data Engineer and AI/ML Engineer with 4 years of experience across data pipelines, machine learning, and generative AI, currently pursuing an M.S. in Computer Science at the University of North Texas (GPA 3.88, graduating May 2026).

I build production data pipelines on Azure — Data Factory, Databricks, ADLS, and Delta Lake — alongside Generative AI and Agentic AI systems using RAG, LangChain, LangGraph, and vector search. My work spans batch and streaming pipelines with PySpark and Kafka, ML models from Random Forest to XGBoost, and full-stack AI products shipped end to end.

Currently building AI/ML & Data Solutions at Walmart, developing enterprise-scale ETL/ELT pipelines and ML-ready datasets. Previously, I worked with Vyusoft and ServiceNow, and interned at BIST Technologies and BlackBucks — experience that shaped how I turn messy data into reliable, decision-ready systems.

DegreeMS CS, UNT (May 2026)
LocationDenton / Dallas, Texas
Emailsaranyamadala15@gmail.com
LanguagesEnglish, Telugu
InterestsPhotography, Cooking, AI Research
StatusOpen to Work ●
skills

What I Work With

Languages & Processing
PythonSQL PySparkPandas / NumPy JavaScriptTypeScript
Data Engineering
Azure Data FactoryAzure Databricks ADLSDelta Lake Medallion ArchitectureETL / ELT
Big Data & Streaming
Apache SparkApache Kafka Apache AirflowDocker CI/CDGit
Databases & Warehousing
SQL ServerPostgreSQL MySQLOracle DB BigQueryMongoDB
Cloud Platforms
Microsoft AzureAWS Google CloudSynapse Analytics S3 / LambdaCloudFront
AI/ML & Generative AI
Scikit-learnXGBoost PyTorchTensorFlow LangChain / LangGraphRAG & Vector Search
experience

Where I've Worked

Jan 2025 – Present
United States
AI/ML & Data Solutions
Walmart (Contract)
  • Develop and maintain Azure Data Factory (ADF) pipelines ingesting customer, transaction, inventory, and operational data into Azure Data Lake Storage (ADLS).
  • Build and enhance ETL/ELT pipelines using Python, SQL, PySpark, ADF, and Azure Databricks to process structured and semi-structured datasets for analytics and ML use cases.
  • Implement Lakehouse (Bronze/Silver/Gold) workflows with cleansing, validation, and standardization to produce reliable analytical datasets.
  • Develop batch and streaming pipelines using Apache Spark/PySpark, integrating Kafka streams, and implement data-quality and source-to-target reconciliation checks.
  • Prepare and validate ML-ready datasets and features for predictive analytics, supporting Azure Machine Learning workflows.
Aug 2024 – Dec 2024
Dallas, TX
AI/ML Engineer
Vyusoft, Inc.
  • Collected, cleaned, and prepared structured/semi-structured datasets using Python, Pandas, NumPy, and SQL; performed EDA to identify missing values, outliers, and correlations.
  • Built preprocessing pipelines for encoding, scaling, and train/validation/test splits; applied feature engineering and selection to improve model quality.
  • Developed and evaluated Linear/Logistic Regression, Decision Trees, Random Forest, and XGBoost models; applied clustering for pattern discovery.
  • Improved generalization via cross-validation, regularization, and hyperparameter tuning; evaluated with F1-score, ROC-AUC, RMSE, and R².
  • Explored RNN/LSTM and Transformer architectures for sequence and NLP-oriented use cases.
Aug 2023 – Jul 2024
Hyderabad, India
Associate Data Analyst
ServiceNow
  • Analyzed ServiceNow platform and business-process data with SQL and Python to support operational reporting and KPI analysis.
  • Extracted, cleaned, and prepared analytical datasets from ServiceNow tables using Python, Pandas, and NumPy.
  • Built Power BI and Tableau dashboards to communicate KPIs, service trends, and process metrics to stakeholders.
  • Validated reporting outputs against source data and resolved discrepancies affecting dashboards and analytics.
education

Academic Background

Aug 2024 – May 2026
Denton, TX
MS in Computer & Information Sciences
University of North Texas
⭐ GPA 3.88

Focus on software engineering, AI/ML, deep learning, and big data analysis.

Jan 2020 – Mar 2024
Andhra Pradesh, India
Bachelor's Degree in Computer Science and Engineering
NRI University, AP
🎓 First Class Distinction
projects

Things I've Built

01LIVE
EduPath AI
Adaptive multi-agent RAG tutoring platform orchestrating ingestion, retrieval, reranking, and generation agents to deliver grounded, personalized learning from educational content. Built with LangChain, OpenAI embeddings, Pinecone, Cohere Rerank, and Groq Llama 3.3-70B, with PostgreSQL for conversation history, Redis/Memurai caching, and Kafka for ingestion events — achieving 0.96 retrieval confidence and sub-second cached response times.
LangChainPineconeCohere Rerank FastAPIGroqKafka PostgreSQLRedis
02LIVE
Spectr.io
Agentic LLM system design reviewer powered by Anthropic Claude and the Model Context Protocol (MCP). A hybrid rule engine scores architectures across 8 dimensions, with an agentic loop that re-scores revised specs. Exposes 4 MCP tools to Claude Desktop.
ReactFastAPIGroq/Llama MCPAWS EC2CloudFront
03LIVE
Zume — AI Resume Platform
Cloud-native SaaS for AI-powered resume building, with OpenAI-based content generation, TypeScript/Node.js, Stripe billing, PostgreSQL, MongoDB, and a production CI/CD deployment pipeline. 200+ active users, with a 40% frontend performance improvement.
Node.jsTypeScriptPostgreSQL MongoDBStripeOpenAI API
04LIVE
TraceSense
Distributed log correlation engine combining SBERT semantic embeddings, ChromaDB, and hybrid temporal scoring to accelerate root-cause analysis across microservices — reducing MTTR from 45+ min to under 2 min. Deployed on Hugging Face Spaces + Vercel.
PythonSBERTChromaDB FastAPIHugging FaceVercel
05COMPLETE
Customer Churn Prediction Pipeline
End-to-end churn prediction solution with automated preprocessing and feature-engineering workflows for missing values, categorical variables, scaling, and class-imbalance handling. Evaluated classification models on F1-score, precision, recall, and ROC-AUC, then deployed the selected model as a containerized REST API for real-time predictions.
PythonSQLPandas Scikit-learnXGBoostFastAPI DockerAWS/Azure
06🏆 WINNER
SafePath
Accessibility-focused multilingual navigation MVP that won 1st Place at GrandInnoHack 2025. Helps users with mobility challenges navigate spaces safely and efficiently. Led end-to-end development from ideation to working demo within the hackathon timeframe.
ReactNode.jsGoogle Translate API
07COMPLETE
Traffic Accident Severity Estimator
Multimodal Vision Transformer + DistilBERT pipeline trained on 2.8M+ accident records. Achieves 0.99 macro F1 using transfer learning, data augmentation, and ViT-B/16 architecture.
PyTorchViT-B/16DistilBERT PythonScikit-learn
08COMPLETE
Indoor Sports Booking System
Full-stack web app for streamlining indoor sports facility management. Dual-role system with an admin dashboard for managing slots, users, and facilities, and a user dashboard for real-time slot availability and booking. Features secure session-based auth with role validation and Django messages for flash alerts.
DjangoPythonMySQL BootstrapJavaScriptGitHub
09PUBLISHED
Multiple Disease Prediction System
ML web app predicting heart disease, Parkinson's, and diabetes from patient data using trained scikit-learn models. Clean Streamlit interface makes results easy to interpret. Accompanied by a research publication.
PythonScikit-learn StreamlitPandas
10PUBLISHED
Real-Time Object Detection using Deep Learning
Computer vision research project applying deep learning to real-time object detection, developed during my AI/ML internship at BIST Technologies. Co-authored and published as a research paper.
PyTorchComputer VisionDeep LearningOpenCV
data work

Dashboards & Analytics

Alongside data engineering, I build dashboards with Power BI, Tableau, and Python — turning raw datasets into clear, actionable insights.

BlackBucks Logistics Analytics Dashboard
Power BI · 4 Pages
Built during my internship — analysing 99K shipments, $20.58M revenue, and 3,095 partners across KPI tracking, shipment trends, delivery analysis, and cargo/payment breakdowns.
Power BIDAX Data ModellingLogistics Analytics
ServiceNow Operations Dashboards
Power BI & Tableau
Dashboards built to communicate KPIs, service trends, and process metrics from ServiceNow platform data — validated against source records for reporting accuracy.
Power BITableau SQLKPI Reporting
Netflix Analysis Dashboard
Interactive Power BI dashboard analysing Netflix content — genre distribution, release patterns, and regional insights.
Power BIEDAData Viz
View Dashboard
FIFA Data Analysis
Exploratory analysis of the FIFA dataset — player performance, team strategies, and global football trends using Python.
PythonPandasMatplotlibEDA
GitHub
credentials

Certifications

☁️
AWS Certified Cloud Practitioner
Amazon Web Services
🤖
AWS Certified AI Practitioner
Amazon Web Services
🔷
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft
🍃
Building RAG Apps Using MongoDB
MongoDB
achievements

Awards & Honors

2025
🏆
GradInnoHack 2025 — 1st Place
University of North Texas
First place for SafePath, an accessibility-focused multilingual navigation app, beating a competitive field of teams at UNT.
2022
🥇
AR Make-A-Thon Award
Reskill × SparkAR
Recognised for outstanding engagement and contribution during the Augmented Reality Make-A-Thon hackathon.
contact

Get In Touch

Open to Opportunities

Looking for full-time Data Engineering, AI/ML Engineering, and Software Engineering roles starting July 2026 (OPT). H-1B sponsorship is appreciated. Let's talk!