Open to opportunities

Rishika User

@rishikauser1

Message

I’m an AI/ML engineer focused on computer vision and multimodal deep learning, building deployable pipelines.

India

Message

What I'm looking for

I’m looking for an AI/ML role where I can build computer vision and multimodal models, strengthen data pipelines, and deploy services with Docker/FastAPI—working in a team that values measurable evaluation and reliability.

I’m an AI/ML Intern with experience building Python data pipelines and evaluating model performance using precision, recall, and F1. I’ve worked across automation for schema-enforced datasets, feature engineering, and statistical analysis to turn raw data into analysis-ready inputs.

My projects span multimodal sentiment classification, UNet-based semantic segmentation, and predictive maintenance using XGBoost and PyTorch sequence models and anomaly detection. I care about reliable deployment—containerized services, Docker-based consistency, and MLflow-driven experiment tracking—so models can move from research to real systems.

Experience

Work history, roles, and key accomplishments

Flutter Developer

Orange Technologies

Nov 2025 - Feb 2026 (3 months)

Built a Flutter application to manage 100+ customer records with automated billing workflows and an offline-first SQLite/MySQL sync layer. Wrote and optimized SQL queries and relational schemas with indexing, and added unit tests for billing and sync logic.

Flutter Dart SQL SQLite MySQL Offline First Database Optimization Indexing Unit Testing

AI/ML Intern

Infosys

Oct 2025 - Jan 2026 (3 months)

Built Python data pipelines to clean, transform, and validate 1,000+ labeled conversational samples using tokenization, synonym replacement, and schema validation. Analyzed model performance with precision/recall/F1 metrics and presented improvement recommendations to the team.

Python Data Pipelines Data Cleaning Tokenization Synonym Replacement Precision Recall

AI/ML Engineer Intern

Brane Enterprises

Jul 2025 - Aug 2025 (1 month)

Developed Python automation scripts to extract, clean, and validate 10,000+ records with schema enforcement to improve data pipeline reliability. Applied feature engineering and statistical analysis to create analysis-ready datasets and identify data quality issues.

Python Data Extraction Data Cleaning Data Validation Feature Engineering Statistical Analysis