Shakthi Vel
Manufacturing engineering professional with 3+ years of hands-on injection molding process experience (Engel, Husky) in automotive component manufacturing, now combined with a B.E. in Artificial Intelligence & Data Science. At Trelleborg India, I trained under French process experts to run production, troubleshoot tooling and machine issues, optimize cycle times using OEE data, monitor rejection rates, and maintain documentation for automotive manufacturing standard audits — alongside tool/machi
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About
Manufacturing engineering professional with 3+ years of hands-on injection molding process experience (Engel, Husky) in automotive component manufacturing, now combined with a B.E. in Artificial Intelligence & Data Science.
At Trelleborg India, I trained under French process experts to run production, troubleshoot tooling and machine issues, optimize cycle times using OEE data, monitor rejection rates, and maintain documentation for automotive manufacturing standard audits — alongside tool/machine preventive maintenance, quality testing, and operations planning. I'm now applying that shop-floor foundation to AI-driven manufacturing analytics: building ML pipelines, Power BI dashboards, and automation workflows (Python, FastAPI, Azure) that turn machine and quality data into actionable process improvements.
I'm looking for a Junior/Assistant Manager – Manufacturing or Senior Engineer – Manufacturing role where I can bridge injection molding process engineering with data-driven decision-making — improving OEE, reducing rejection rates, and bringing automation into process optimization.
Experience
AI/ML & Applied Data Science Intern at Curve Logics (2026-01 – 2026-06)
- Developed and fine-tuned ML models for game data analysis across 4 model variants using PyTorch and scikit-learn, applying cross-validation, hyperparameter tuning, and evaluation metric tracking to reach production-calibre performance.
- Built 3 automated end-to-end ML pipelines covering data ingestion, preprocessing, feature engineering, model training, and evaluation — deployed via FastAPI and containerised with Docker, cutting manual prep time by ~60%.
- Integrated Hugging Face Transformers for NLP-based feature extraction, optimising model inference logic for accuracy and throughput across production datasets.
- Delivered 4 Power BI dashboards translating model outputs into real-time business metrics, collaborated with senior engineers on solution design, and documented pipeline behaviour for scalability and reuse.
Education
B.E. in Artificial Intelligence and Data Science – Noorul Islam University (2023-04 – 2026-04)
