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syam sundar rajSR
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syam sundar raj

@syamsundarraj

Materials engineer at Infinita Lab coordinating global materials-testing labs and researching hydrogen-based iron ore reduction.

India
Message

At Infinita Lab, I handle client inquiries for specialized materials testing and characterization across ASTM, ISO, and IEC standards. I identify and coordinate with laboratories across North America and Europe, review test methods, and facilitate communication between clients and labs.

At Indian Institute of Technology Madras (IC&SR), I studied goethite iron ores for hydrogen-based DRI applications, designed experiments using Taguchi L16 methodology, and analyzed reduction behavior with XRD and SEM-EDS. In my M.Tech thesis, I investigated hydrogen-based reduction kinetics and achieved a maximum metallic conversion of 53.4%.

Experience

Work history, roles, and key accomplishments

II

Project Associate

Indian Institute of Technology Madras (IC&SR)

May 2025 - Dec 2025 (7 months)

Conducted mineralogical and reduction study of goethite iron ores for H2-based DRI shaft furnace applications. Designed experiments using Taguchi L16 methodology and performed hydrogen reduction experiments with XRD and SEM-EDS analysis.

HL

Assistant Manager

Hindustan Zinc Limited

Aug 2021 - Sep 2022 (1 year 1 month)

Served as Shift In-charge overseeing operations of fuming furnace and electric arc furnace. Managed SAP-based process logging and inventory tracking while supervising coal pulverization unit operations.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Madras logoIM

Indian Institute of Technology Madras

M.Tech, Metallurgical and Materials Engineering

2023 - 2025

Grade: 8.46/10

Pursued M.Tech in Metallurgical and Materials Engineering with a CGPA of 8.46/10, focusing on materials characterization and high-temperature processing.

National Institute of Technology Trichy logoNT

National Institute of Technology Trichy

B.Tech, Metallurgical and Materials Engineering

2017 - 2021

Grade: 7.12/10

Completed B.Tech in Metallurgical and Materials Engineering with a CGPA of 7.12/10, including a thesis on machine learning prediction of lattice thermal conductivity.

Tech stack

Software and tools used professionally

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