Open to opportunities

Ankush Arora

@ankusharora1

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ML-driven vehicle dynamics engineer delivering data-driven R&D automation and analytics.

India

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What I'm looking for

I seek roles applying ML to vehicle dynamics, simulation automation, and R&D analytics in collaborative teams that value productionized AI, measurable impact, and opportunities to scale pipelines and models.

I am an engineer specializing in machine learning applications for vehicle dynamics and R&D automation, blending simulation-based engineering with modern AI tools to accelerate product development and root-cause workflows.

At Bajaj Auto I architected RAG-based RCA systems, built ML surrogates for MBD, automated outlier detection in V&V pipelines, and developed Streamlit KPI dashboards—reducing investigative TAT, speeding parameter sweeps, and increasing defect detectability.

Previously I improved QA automation throughput at a US remote startup and conducted ML research in computational biology at McGill, applying embedding-driven retrieval, high-throughput ETL, and domain NER—demonstrating cross-domain impact in productionized ML systems.

Experience

Work history, roles, and key accomplishments

Current

Assistant Manager, AI & Vehicle Dynamics

Current

Bajaj Auto Limited

Jul 2023 - Present (2 years 4 months)

Architected RAG-based RCA and ML surrogate models for MBD to accelerate parameter sweeps and DOE, reducing investigative TAT by 20% and speeding optimization loops by 33%. Built automated outlier detection and interactive KPI dashboards to raise defect detectability by 18% and democratize analytics across R&D.

Python PyTorch scikit learn Faiss LLaMA Streamlit Data Visualization

QA Automation Engineer

Colonist LLC

Jan 2023 - Jun 2023 (5 months)

Automated regression and NLP defect detection pipelines using Selenium and spaCy, increasing test execution throughput by 30% and reducing issue resolution time by 25%, and integrated CI/CD workflows to improve defect flow by 20%.

Selenium Pytest SpaCy Jenkins GitHub Actions CI CD Test Automation

ML Research Intern

McGill University

May 2022 - Jul 2022 (2 months)

Applied SBERT-based embeddings for protein similarity retrieval improving match accuracy by 15%, automated bio-data ETL ingesting 500K+ records/day, and fine-tuned BERT NER achieving 88% precision and 85% recall on biomedical text.

BERT Python NLP Data Ingestion

Education

Degrees, certifications, and relevant coursework

edX (MITx MicroMasters in Supply Chain Management)

MicroMasters (coursework), Supply Chain Management

2023 - 2024

Completed 5 of 6 courses toward the MITx MicroMasters in Supply Chain Management (2023–2024).

Indian Institute of Technology Delhi

Bachelor of Technology, Mechanical Engineering

2019 - 2023

Grade: 8.55/10.00

Activities and societies: Teaching Assistant for a course of 400+ students; departmental change achieved among top 9% in batch; participated in engineering projects and research.

Bachelor of Technology in Mechanical Engineering with a GPA of 8.55/10.00, focused on engineering fundamentals and applied projects during 2019–2023.