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I'm a software engineering master's graduate who builds practical, end-to-end ML systems— from recommendation engines to anomaly-detection pipelines and LLM/RAG applications. I work across the full ML workflow with Python, PyTorch, TensorFlow, SQL, and AWS, backed by a strong data engineering foundation and a track record of shipping end-to-end solutions.…

Riya Gupta

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm a software engineering master's graduate who builds practical, end-to-end ML systems— from recommendation engines to anomaly-detection pipelines and LLM/RAG applications. I work across the full ML workflow with Python, PyTorch, TensorFlow, SQL, and AWS, backed by a strong data engineering foundation and a track record of shipping end-to-end solutions.…

Available to hire

I’m a software engineering master’s graduate who builds practical, end-to-end ML systems— from recommendation engines to anomaly-detection pipelines and LLM/RAG applications.
I work across the full ML workflow with Python, PyTorch, TensorFlow, SQL, and AWS, backed by a strong data engineering foundation and a track record of shipping end-to-end solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Teaching Assistant, Software Project Management at Concordia University

January 1, 2025 - December 1, 2025

Supported 80–120+ graduate students through tutorials, office hours, and one-on-one mentoring on Agile, SDLC, and requirements engineering; evaluated SRS documents, UML diagrams, and project deliverables, providing structured feedback to improve software design and documentation quality.

AI Engineer (Contract) at Avkalan.ai

September 1, 2023 - May 1, 2024

Built a hybrid recommendation system in PyTorch combining TF-IDF content filtering with ALS matrix factorization, improving personalization accuracy by ~25% across 1M+ user-item interactions. Developed and deployed an anomaly detection pipeline (isolation forest and autoencoders) in TensorFlow to flag irregular retail transactions, reducing undetected anomalies by ~30%. Deployed and served models on AWS SageMaker, EC2, and Lambda, tuning them with precision, recall, and AU C; optimized preprocessing of 1M+ records with Pandas and scikit-learn.

Artificial Intelligence Intern at Avkalan.ai

September 1, 2023 - May 1, 2024

Engineered a hybrid recommendation system combining TF-IDF content filtering and ALS-based collaborative filtering models using PyTorch; improved personalization accuracy by 25% across a dataset of 1M+ user-item interactions. Developed and deployed anomaly detection pipelines (isolation forest and autoencoder) using TensorFlow, flagging irregular patterns and reducing undetected anomalies by 30%. Optimized large-scale data preprocessing workflows (1M+ records) with Python, Pandas, and scikit-learn, accelerating model training by 40%. Leveraged AWS (SageMaker, EC2, Lambda) for distributed training and deployment, enabling scalable inference and near real-time feature updates.

Junior Data Engineer at Garvis

November 1, 2022 - January 31, 2023

Built scalable data pipelines in Python, DBT, and AWS Glue to prepare tabular datasets for ML model training, improving data processing efficiency by 45% and reducing feature extraction latency. Developed automated validation and monitoring workflows with Great Expectations to ensure high-quality, unbiased training data, boosting model reliability and analytics accuracy by 25%. Partnered with AI teams to integrate pipelines with SageMaker and Redshift, enabling real-time feature updates and supporting continuous model retraining for production ML applications.