Hi, I'm SAI SHRIYA
AI Engineer | Data Engineer | Software Engineer
Transforming complex AI, data, and backend requirements into elegant, scalable, and future-ready systems with modern tools and strong engineering fundamentals.
About Me
I am a computer science graduate with experience across AI, software engineering, analytics, and data infrastructure. I enjoy building systems that are dependable under real-world constraints, especially when the inputs are messy and the output needs to be consistent, fast, and useful.
My recent work includes prompt optimization, schema-driven extraction, warehouse modeling, ETL and ELT pipelines, validation frameworks, and backend services. I care about correctness, maintainability, and delivering tools that teams can trust.
My Journey
TempoDyn / Temporal Dynamics
AI Engineer / Software Engineer
- Design & Implementation: Developed and implemented core components of Generative AI solutions, specifically RAG pipelines using LangChain and LangGraph to process 1,000+ dynamic templates.
- Context Engineering: Engineered sophisticated context engineering features and optimized prompt templates, improving structured extraction reliability to 95%+ for business-critical workflows.
- Collaboration & Integration: Collaborated with cross-functional teams to integrate LLM outputs into a microservice architecture, ensuring seamless data flow between AI agents and downstream audit applications.
IU Information Technology Services
Technical Support Consultant
- Serve as the primary point of contact for high-volume technical support tickets in ServiceNow, ensuring timely resolution and clear communication with faculty, staff, and students.
- Analyze and troubleshoot system, software, and user issues across Windows, macOS, and cloud-based platforms including Canvas, Microsoft Office, and Zoom.
- Collaborate cross-functionally with IT teams to escalate complex issues, document requirements, and support system improvements with minimal downtime.
- Maintain detailed documentation of recurring issues, resolutions, and system behaviors to improve knowledge sharing, process standardization, and operational efficiency.
Sri Sathya Sai Institute
Data Engineer / Backend Engineer Intern
- Engineered and maintained analytics-focused ETL/ELT pipelines using SQL, Python, Spark, dbt, and Snowflake, processing 500K+ records across multiple healthcare datasets
- Modeled and architected 20+ fact and dimension tables using star schema design to support scalable business reporting and downstream analytics. Implemented automated data quality frameworks including schema validation, reconciliation checks, and anomaly detection, improving reporting accuracy to 99%+ consistency.
- Optimized complex SQL transformations and warehouse queries, reducing data processing time by 30% for large-scale analytical workloads.
Al Tomouh IT LLC
Testing Intern
- Executed 58+ structured test cases for a large e-municipality platform.
- Validated requirements and documented critical defects before launch.
- Improved release readiness through detailed reporting and root-cause analysis.
Apparel Group UAE
Software Developer Intern
- Built frontend features for a large e-commerce platform using JavaScript and React.
- Supported experiences used by 100,000+ active users.
- Used behavioral data to inform UI and engagement decisions.
My Skillset
Languages & Frameworks
Python
SQL
Java
JavaScript
FastAPI
React
Express.js
AI & Machine Learning
LangChain
LangGraph
RAG Pipelines
Prompt Optimization
PyTorch
TensorFlow
Scikit-learn
Data Engineering
Snowflake
dbt
Spark
Dimensional Modeling
ETL/ELT Pipelines
Data Quality
MLflow
Cloud & Tools
AWS S3
Kafka
Kubernetes
Git
REST APIs
Tableau
Docker
Featured Projects
01
Market Shock Digital Twin
Event-driven market replay and portfolio simulation platform with Kafka-backed playback, REST APIs, caching, and low-latency analytics reads.
Python · FastAPI · Kafka · Redis · React
02
Music Recommendation System
NLP-powered recommendation app that analyzes hundreds of thousands of song lyrics and returns personalized results.
Flask · NLP · Pandas · sklearn · spaCy
03
Formula 1 Analytics Lakehouse
Analytics pipeline with schema enforcement, layered modeling, and optimized query performance for race insights.
Python · PySpark · SQL · Delta Lake
04
Insurance Claims Analysis
Data analysis project focused on uncovering claim patterns, risk trends, and operational insights from insurance datasets.
Python · SQL · Analytics · Visualization
05
Snowflake Payment Integrity
Warehouse-focused project for validating payment data, improving integrity checks, and supporting reliable analytical reporting workflows.
Snowflake · SQL · Data Quality · Analytics
ACADEMIC BACKGROUND AND CERTIFICATIONS
Indiana University Bloomington
Master of Science in Computer Science
Auburn Univeristy
Master of Science in Computer Science
Heriot Watt University Dubai
Bachelor of Science in Computer Science Hons. (AI)
Get In Touch
I am open to software engineering, AI engineering, data engineering, and machine learning opportunities where I can help build scalable, thoughtful systems!