Srikaran Sankar.
AI/ML Engineer · Dublin, Ireland
I'm an AI engineer who turns messy data into models that ship.
Two years bridging data engineering and applied ML — pipelines, data quality, training, evaluation, deployment.
About
I make data trustworthy, then make it predict.
AI/ML Engineer with two years of hands-on experience building end-to-end data solutions — designing and optimising ETL/ELT pipelines, enforcing data quality, and turning that clean foundation into machine-learning systems that run in production.
I've shipped this work at Amazon and Ennuviz, and I'm finishing an MSc in Artificial Intelligence in Dublin. I like the unglamorous middle of the stack: the validation rules, the schema decisions, the pipeline that fails loudly instead of quietly corrupting a model.
- Focus
- Data engineering + applied ML
- Based in
- Dublin, Ireland
- Status
- Open to work · Stamp 2 visa
- Studying
- MSc Artificial Intelligence — NCI Dublin (2026)
Work
Projects I can talk through end to end.
AI-Driven HR Recruitment Automation
Agentic automation · document ETL
An autonomous agent that ingests, validates and screens CVs end to end.
Career Readiness & Skill-Gap Severity Prediction
Supervised ML · comparative modelling
A comparative ML pipeline that predicts how severe a candidate's skill gap is, served in a live app.
Experience
From mechanical engineering to shipping ML.
- Study2025 – 2026 (expected)Now
MSc, Artificial Intelligence
National College of Ireland · Dublin, Ireland
2production-minded projects- ▹ Modules: Machine Learning, AI-Driven Decision Making, Programming for AI, Engineering & Evaluation in AI, Data Analytics for AI.
- ▹ Two end-to-end projects — an autonomous CV-screening agent and a skill-gap severity predictor (see Work).
Machine LearningEvaluationAgentsStreamlit - WorkSep 2024 – Aug 2025
Associate — Machine Learning Engineer
Amazon Development Center · Chennai, India
~90%classification accuracy+40%validation efficiencymillionsrecords / day- ▹ Designed and ran scalable ETL/ELT pipelines ingesting millions of product-catalog data points from databases, APIs and files.
- ▹ Built data validation and transformation workflows that lifted validation efficiency by ~40%.
- ▹ Developed Python rule engines and ML classifiers to flag non-compliant, duplicate and miscategorised records at ~90% accuracy.
- ▹ Tuned storage and query performance for high-volume semi-structured data; shipped pipeline code via Git and CI/CD.
PythonETL / ELTML classifiersRule enginesGit · CI/CD - WorkDec 2023 – Jun 2024
Trainee — Data Process Intelligence
Ennuviz Technology · Chennai, India
- ▹ Performed ETL — preprocessing, cleansing and transformation — on large, complex datasets for analytical models.
- ▹ Built interactive Power BI validations and dashboards to support business decisions.
- ▹ Worked with the RPA team to fold AI-driven automation into the company's digital-transformation work.
ETLPower BIRPAData cleansing - Study2019 – 2023
B.E., Mechanical Engineering
Kongu Engineering College · Erode, India
- ▹ Modules included Data Structures, Web Engineering and Mathematics — the on-ramp into software and data.
Stack
Tools I reach for.
- Python
- R
- TypeScript
- JavaScript
- Java
- PyTorch
- TensorFlow
- Keras
- scikit-learn
- OpenCV
- spaCy
- Hugging Face
- LangChain
- Claude
- DeepSeek
- Ollama
- Gradio
- pandas
- NumPy
- Jupyter
- MySQL
- PostgreSQL
- FastAPI
- Flask
- Streamlit
- Docker
- Git
- GitHub Actions
- MLflow
- Weights & Biases
- Google Cloud
- Google Colab
- Kaggle
- UiPath
Also working with
- ChatGPT
- ETL / ELT pipelines
- Data quality & governance
- Data modeling — snowflake schemas
- Data lakes
- Azure Data Factory
- NLP
- LLMs & Generative AI
- RPA + AI integration
- Power BI
- Tableau
- Excel
Contact
Let's talk.
Hiring for a data / ML role, or want a second pair of hands on a pipeline? The fastest way to reach me is LinkedIn.