Engineering
Orchestrating pipelines, implementing ETL patterns, and building repeatable cloud workflows.
AI Engineer + Developer
Building AI products that are practical, reliable, and ready for production.
I am Shanmathy Ravisankaran, an AI engineer focused on building end-to-end intelligent systems. I work across Python, Azure, Databricks, SQL, and modern LLM tooling to ship AI copilots, retrieval pipelines, and decision-support applications that create measurable business value.
2+ Years
Professional delivery experience at Accenture.
10+ Projects
Portfolio spanning analytics, AI, and full-stack builds.
AI Focus
LLMs, RAG systems, prompt engineering, and cloud AI workflows.
Available for roles
AI Engineering
Open to AI engineering, GenAI application development, and intelligent automation roles.
Core Stack
Python, LangChain, OpenAI APIs, Azure AI, SQL, Databricks
Strengths
RAG architecture, prompt design, model evaluation, and reliable delivery
GenAI Applications
RAG Pipelines
Prompt Engineering
LLM Evaluation
AI Workflows
About
A developer mindset with a data delivery background.
I completed my MS in Information Technology and Management at UT Dallas after working as an Application Development Analyst at Accenture. My work sits at the intersection of engineering and analytics: building ingestion pipelines, shaping clean data models, and exposing results through dashboards or AI-assisted applications.
The goal is consistent across projects: reduce noise, improve reliability, and deliver outputs that teams can actually use in production or decision-making environments.
Analytics
Translating datasets into decision-ready reports, KPI models, and clear stakeholder views.
Applied AI
Building practical AI interfaces where retrieval, automation, and analytics need to work together.
Experience
Professional delivery in production environments.
Experience across enterprise systems, incident ownership, testing, and cross-team delivery coordination.
Cognizant
AI Engineer
USA | Feb 2026 - Present
Pipeline engineering
Designing ML-ready data pipelines using Python, Pandas, and NumPy to improve data readiness and feature availability by 30%.
Inference systems
Developing and optimizing Flask-based RESTful backend services for real-time ingestion and model inference workflows.
- Designing ML-ready data pipelines using Python (Pandas, NumPy), improving data readiness and feature availability for modeling by 30%.
- Developing and optimizing RESTful backend services via Flask for real-time data ingestion and model inference workflows.
- Advanced data preprocessing including imputation, categorical encoding, and feature scaling for predictive models.
- Building rule-based and ML-assisted validation mechanisms that reduce inconsistencies and improve system accuracy by 25%.
- Translating business requirements into measurable KPIs and AI-driven insights with product managers and engineering teams.
Accenture
Application Development Analyst
India | May 2021 - Dec 2023
Data analysis
Analyzed large-scale telecom datasets with SQL and Python for proactive performance monitoring and faster issue visibility.
Reporting and automation
Built Power BI dashboards and end-to-end automation pipelines that improved reporting speed and saved weekly manual effort.
- Analyzed large-scale telecom datasets (millions of records) using SQL and Python for proactive network performance monitoring.
- Designed enterprise-grade Power BI dashboards with DAX, improving decision-making speed and reporting efficiency by 30%.
- Engineered end-to-end automation pipelines for data extraction, validation, and reporting, saving 14+ hours per week.
- Led root-cause analysis of critical production incidents, achieving a 95% SLA resolution rate.
- Defined scalable KPIs and data quality frameworks in partnership with engineering, QA, and operations teams.
Projects
Selected builds across analytics, AI, and platform tooling.
Analytics
Promo Segmentation Analytics
Measured repeat rate, profit, discount, and order value patterns across customer segments to identify high-impact promotions.
Python
EDA
Visualization
Open Repository
Business Intelligence
Telco Churn Dashboard
Developed a Power BI dashboard for churn, contract type, service usage, and revenue KPIs with interactive drill-down views.
Power BI
DAX
Data Modeling
Open Repository
Data Engineering
Formula 1 Azure Pipeline
Built a raw-to-presentation data pipeline using Ergast API, ADF, Databricks, Delta Lake, and Power BI reporting layers.
ADF
Databricks
PySpark
Open Repository
Applied AI
Cosmetic Chemical Intelligence
Created a RAG assistant that retrieves safety guidance from regulatory sources and returns cited responses through Streamlit.
LangChain
RAG
Vector DB
Open Repository
AI Analytics
Strategiz AI Analytics Agent
Built a conversational assistant that converts business questions into SQL and visualization-ready analytics outputs.
LLM Agents
SQL Generation
Streamlit
Open Repository
Developer Tooling
Doclify CLI
Developed an AI-powered CLI that analyzes repositories and generates professional README documentation with configurable workflows.
Python
CLI
Automation
Open Repository
Autonomous Content Systems
BlogBoard
Built an autonomous multi-agent blogging platform that schedules, generates, and publishes AI and ML articles with orchestration and CI automation.
Python
LangGraph
CI/CD
Open Repository
Machine Learning
Heart Disease Prediction System
Built a predictive system for heart disease risk assessment with model experimentation, tracking, versioning, and Flask-based delivery.
Scikit-learn
MLflow
Flask
Open Repository
Machine Learning
Airbnb Price Prediction System
Developed an end-to-end Airbnb pricing pipeline using market and property data with experiment-driven modeling and real-time prediction delivery.
XGBoost
CatBoost
DVC
Open Repository
Full Stack AI
Market Insight
Built an AI-driven stock analysis platform with a conversational interface, agent workflows, and real-time financial data integration.
FastAPI
React
OpenAI
Open Repository
Skills
Tools I use to ship reliable systems.
Data Engineering
- Azure Data Factory, pipeline orchestration, scheduling, and ingestion flows
- Databricks, PySpark, Delta Lake, ETL and ELT implementation
- Lakehouse patterns, schema design, and performance-oriented transformations
Analytics
- Power BI, DAX, Power Query, executive reporting, and KPI modeling
- Data validation, dashboard quality, and stakeholder-facing delivery
- SQL-based reporting layers and semantic model support
Programming
- Python, SQL, Java, Pandas, automation scripts, and backend logic
- Snowflake, Azure SQL, MySQL, MongoDB, and model-oriented query design
- Applied AI workflows with retrieval, agents, and developer tooling
Certifications
Azure Administrator (AZ-104), Azure Fundamentals (AZ-900), Power BI Data Analyst (PL-300), and SnowPro Associate.
Contact
Interested in data engineering, analytics, or platform-focused developer work.
Email is the fastest way to reach me. I am happy to share project walkthroughs, dashboards, or implementation details.
Email: shanmathyravisankaran03@gmail.com
Location: Dallas, TX / Bangalore, India
© Shanmathy Ravisankaran