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Ayesha Siddiqha

@ayeshasiddiqha

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I build computer vision, machine-learning, and agentic AI systems for production and safety-critical applications.

India

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What I'm looking for

I'm looking to build production AI systems across computer vision, machine learning, Generative AI, and agentic workflows, with opportunities to solve real-world problems, evaluate model quality, and deliver reliable, responsible deployments.

I've built computer vision and machine-learning systems for Mercedes-Benz R&D programs at HARMAN India, including ADAS HD map validation and driver monitoring pipelines. My Python validation tooling reduced pipeline runtime by 60–75% and automated reporting reduced manual work by 70–75%.

I also built a Flask investigation platform that connected prediction errors to synchronized validation videos, cutting root-cause investigation from over two hours to under 15 minutes. More recently, at Rubixe, I've developed rare-event ITSM classification, ticket-volume forecasting, and credit-risk modeling while identifying data leakage, onboarding artifacts, and PII risks before modeling.

I'm expanding my work in Generative AI and Agentic AI through tool-using agents, Agentic RAG, multi-agent orchestration, and MCP assistants with guardrails, tracing, and human approval gates.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Intern

Current

Rubixe

Jan 2026 - Present (8 months)

Developed a rare-event classifier for ITSM ticket identification and built credit-risk models. Forecasted weekly ticket traffic using time-series models.

LightGBM ARIMA Holt Winters Logistic Regression Credit Risk Modeling Time series Forecasting Python

Analytics & AI Solutions Consultant

Independent Consulting

Oct 2024 - Dec 2025 (1 year 2 months)

Delivered analytics engagements for a homemade-food business, including customer retention modeling and demand forecasting.

Logistic Regression Random Forest Feature Engineering Python Data Analysis

Senior Software Engineer | Computer Vision & AI

HARMAN India

Dec 2019 - Sep 2024 (4 years 9 months)

Developed Python geospatial validation pipelines for ADAS HD maps and implemented computer vision pipelines for driver monitoring systems. Built a Flask investigation platform to reduce root-cause analysis time.

Python SQLAlchemy GeoAlchemy PostgreSQL PostGIS Pandas TensorFlow Keras ResNet50 Computer Vision Flask Jenkins CI CD

Computer Vision & Deep Learning Intern

ISRO – Indian Space Research Organisation

Oct 2017 - May 2018 (7 months)

Created a hybrid computer vision pipeline for automatic building detection from satellite data, integrating feature engineering with machine learning and deep learning classifiers. Co-authored a published research paper.