AI/ML Engineer with end-to-end deployment experience

Sathiyagothai Balasubramaniyan

Phone: +1-469-***-****

LinkedIn: sathiyagothai

Email id: *************@*****.***

Education:

Post Graduate Program in Artificial Intelligence

and Machine Learning.

University:University of Texas, Austin

Graduation: 2025

Master of Business Administration

University: Anna University- Chennai, India

Graduation: May 2017

Bachelor of Engineering

University: Anna University-Chennai, India

Graduation: April 2015

Skills:

Statistics and Data Visualization: Descriptive,

Statistical, Predictive Analytics, Seaborn,

Matplotlib.

Machine Learning: Classification and Regression

Algorithms, Statistical Inference, Exploratory Data Analysis, Clustering Techniques, PCA,

Recommendation Systems, Hyperparameter

Tuning, Feature Selection, Scikitlearn, Numpy,

Pandas, Containerization, Model Deployment.

Deep Learning: Neural Networks, Computer

Vision, Image Recognition, Natural Language

Processing, Web Scraping, Tensorflow, Keras,

Convolutional Neural Networks.

NLP: Word Embedding, Attention mechanism,

LLM, Prompt Engineering, RAG.

Other software/Tools: Jupyter Notebook, Google

Collab.

Profile Summary:

Detail-oriented and organized AI/ML professional seeking a role to apply skills in data processing, model development, and delivering data-driven business solutions.

Projects:

Designed, developed, and deployed multiple machine learning, neural networks, and NLP models across projects, delivering end-to-end AI solutions from data ingestion to production for real-world prediction and information retrieval problems. Project -1

Title: Purchasing a loan- Decision tree

Description: Created a model that will help the marketing department to identify the potential customers who have a higher probability of purchasing the loan.

Project -2

Title: Easy Visa classification model

Description: Created a data model that has to analyze the data with the help of a classification model to facilitate the process of visa approvals and recommend a suitable profile for whom the visa should be certified or denied.

Project -3

Title: ReneWind-Neural Networks

Description: Create various classification models, tune them, and find the best one that will help identify failures so that the generators could be repaired before failing/breaking to reduce the overall maintenance cost.

Project -4

Title: Medical diagnosis and treatment plan - NLP(RAG) Description: Developed a RAG-based AI solution using renowned medical manuals to address healthcare challenges. Project -5

Title: SuperKart-Model deployment

Description: Created a predictive model and to develop and deploy robust forecasting solution that can be integrated into SuperKart’s decision-making systems and used across its network of stores.

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