Harsh Agrawal, Ph.D.

Product Manager

Chennai, Tamil Nadu, India11 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 8 years in semiconductor research and industry.
  • Expertise in data science and machine learning.
  • Multi-geographic work experience across five countries.
Stackforce AI infers this person is a Semiconductor and Data Science professional with extensive research and manufacturing experience.

Contact

Skills

Core Skills

Data ScienceMachine LearningSemiconductorsResearch

Other Skills

AnacondaBusiness AcumenCleanroom OperationsCommunication SkillsCritical ThinkingCustomer ManagementData AnalysisData AnalyticsData VisualizationDeep LearningEthicsInkscapeJupyterLithographyMaterial Synthesis

About

A semiconductor professional with over 8 years of research and industry experience including lithography, nanofabrication, cleanroom operations, surface chemistry, material synthesis, and scanning/transmission electron microscopy. My expertise is further enhanced by experience in data science and machine learning (proficient in statistics, Python, SQL), customer and stakeholder management, and excellent communication skills. My multi-geographic cultural and work experience spans the Netherlands, Germany, India, Taiwan, and South Korea, enriching my professional perspective. I am curious, enthusiastic, collaborative, and appreciate a good sense of humor. I am not afraid to ask for help!

Experience

Kla

3 roles

Project Lead

Sep 2024Present · 1 yr 6 mos · On-site

Associate Lead, Single and Multi-Electron Beam Product Applications

Aug 2023Sep 2024 · 1 yr 1 mo · On-site

Associate Lead, Product Applications

Dec 2022Aug 2023 · 8 mos · On-site

Foundation for excellence

Mentor

Aug 2023Present · 2 yrs 7 mos

Noodle.ai

Data Scientist

Jun 2021Dec 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

  • Part of asset health team, driving anomaly detection solutions for steel manufacturing plant, saving millions of USD by minimizing unplanned downtime.
  • Proficient in handling extensive 1s time series data (∼5-40 million rows), conducting thorough EDA and feature engineering for effective model training.
  • Led multiple end-to-end use cases for critical components like rollers or brakes, deploying over 15 models with success.
  • Developed functionality for handling multiple time zones in data pre-processing, and contributed to robust model evaluation metrics.
  • Led client calls, gathered requirements, clarified domain knowledge, and communicated model outcomes to stakeholders.
  • Mentored student to develop exploratory data and failure analysis module, cutting EDA effort by 50%.
Data ScienceSQLData AnalysisData VisualizationStakeholder ManagementMachine Learning+8

Amolf

2 roles

Member of the international panel in the ‘Works Council’ of AMOLF

Promoted

Dec 2019Jan 2021 · 1 yr 1 mo

PhD Researcher/Junior scientist

Oct 2016Jan 2021 · 4 yrs 3 mos

  • Developed nanopatterning process resembling LEGOs at the nanoscale to assemble nanocubes into various profiles and grow them into crystals.
  • Proficient in laboratory materials processing, thin-film deposition, surface science, nanofabrication including electron beam and photolithography in cleanroom, materials characterization techniques including spectroscopy, SEM, TEM, EDS, XRD, AFM, XPS, OES, chemical etching, and INSTRON UTM.
  • Skilled in chemical synthesis of nanoparticles (Ag, Pd, Pt, Cu, perovskites) and working in a glovebox environment, including spin coating, sealing, thermal evaporation, device fabrication and electrical measurements with over 5 years of interdisciplinary lab experience.
  • Demonstrated commitment to safety in chemical lab environments, ensuring highest standards in handling hazardous materials like HF etching.
  • Advocated for collaboration, successfully initiating and completing interdisciplinary projects with colleagues from various fields and institutes, including co-supervising two master's students.
  • Published 10 peer-reviewed research articles.

Master's dissertation

Morphology and charge transport of semicrystalline thin films of semiconducting PDPP(6-DO)2TT

May 2015Apr 2016 · 11 mos · Institute of Polymer Chemistry – Functional Polymers, University of Stuttgart

  • 1. Studied absorption properties of the functional polymer in solutions as well as thin films.
  • 2. Hole mobility was determined by incorporating thin films of the polymer in different configurations of a field-effect transistor.
  • 3. The morphology of the thin films was tuned by thermal annealing.
PatterningSemiconductorsLithographyData AnalysisScientific Data ManagementResearch

Chair of materials physics, institute of materials science, university of stuttgart, germany

Research Assistant

Aug 2014Mar 2015 · 7 mos · Stuttgart Region

  • Successfully set up a lab for layer-by-layer deposition for the preparation of polyelectrolyte multilayers (PEM). I was also in charge of making nanoscale tungsten tips via electrochemical etching for atom probe tomography and ensuring the quality and consistency of the samples. Also installed a machine for layer-by-layer deposition for the preparation of polyelectrolyte multilayers (PEM) on the fabricated tungsten tips.

Indian institute of technology, madras

Senior Project Assistant

Aug 2013Feb 2014 · 6 mos · Chennai, Tamil Nadu

  • The work involved the fabrication of Al-x(wt.%)Sc alloys through spray forming as well as by spark plasma sintering. The objective was to enhance the strength of the alloy and look for possible alternate light weight material for existing aerospace and structural components. The alloys were characterized and studied primarily for their mechanical properties. The effect of Sc content on the mechanical properties in Al-Sc binary alloy was investigated.
  • . Mentor: Prof. Dr. rer. nat. Ravi Kumar N V.

Bachelor's dissertation

Sensitization and self-healing behaviour of 304 stainless steel

Jul 2012May 2013 · 10 mos · Visvesvaraya National Institute of Technology, Nagpur, India

  • 1. Calculated quantitative degree of sensitization for SS samples heat treated at 750°C for durations ranging from 6 h to 40 days.
  • 2. Evaluated the self-healing behavior observed after prolonged heat treatment of SS samples.
  • 3. Observed restoration of corrosion resistance (~34%) for samples heat treated beyond 32 h.

Rdcis, sail (ranchi)

Summer Internship on Characterization of Stainless Steel (grades 301 and 304)

May 2011Jun 2011 · 1 mo

  • 1. Learnt the application of various characterization techniques like tensile testing, chemical composition, hardness, evaluated corrosion properties (EPR), inclusion test, studied microstructures, sensitization.
  • 2. Investigated samples of steel using above-mentioned characterization techniques and presented the results to Steel Authority of India Ltd, Salem which also included pickling run-time and analysis of non-metallic inclusions.
  • 3. The various machines used during the internship program are Optical Emission Spectroscope, Inductively Coupled Plasma (ICP), Optical Emission Spectroscope, Carbon Sulphur Analyzer, Potentiostat/Galvanostat, Salt Spray Chamber etc.

Education

AMOLF

Doctor of Philosophy - PhD — Nanotechnology

Oct 2016Feb 2021

University of Stuttgart

Master of Science (M.Sc.) — Materials Science

Jan 2014Jan 2016

Visvesvaraya National Institute of Technology

Bachelor's of Technology (B.Tech) — Metallurgical and Materials Engineering

Jan 2009Jan 2013

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