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Saloni1327/README.md

Hi, I'm Saloni Sakala 👋

Materials Science & Engineering | Advanced Packaging | Materials R&D | Energy Materials | Materials Informatics

About Me

I am an M.S. Materials Science & Engineering student at Georgia Tech with interests spanning materials R&D, advanced semiconductor packaging, energy materials, metallurgy, and materials informatics.

My project experience includes hands-on materials processing and characterization, glass-core packaging and microfabrication, lithium-ion battery anodes, steel heat treatment, sustainable materials processing, and machine-learning-based property prediction.

I am particularly interested in applying processing–structure–property relationships, experimental characterization, and data-driven methods to materials development and manufacturing challenges.

🔬 Research & Technical Interests

  • Thin-film deposition and functional oxide materials
  • Materials processing and process optimization
  • Ferroelectric and piezoelectric materials
  • Structural, microstructural, and electrical characterization
  • Metallurgy and heat treatment
  • Electrochemical materials and Li-ion batteries
  • Materials data analysis and machine learning
  • Materials selection and process–property relationships

Featured Projects

🔬 Glass Core Packaging for Heterogeneous Integration

End-to-end fabrication and characterization of a glass-core package substrate involving RDL fabrication, TGV formation, die embedding, planarization, and package-level metrology.

🔋 Silicon–Graphite–Carbon Anodes for Lithium-Ion Batteries

Development and electrochemical evaluation of sucrose-derived Si–graphite–carbon composite anodes for lithium-ion batteries.

🔩 17-4 PH Stainless Steel Heat Treatment

Investigation of heat-treatment conditions and their influence on the microstructure and mechanical properties of precipitation-hardened stainless steel.

🤖 Steel Yield Strength Prediction

Machine-learning prediction of steel yield strength using chemical composition, size, and heat-treatment parameters.

♻️ Coal Fly Ash Valorization

Experimental investigation of coal fly ash valorization through vitrification and alkali-assisted silica recovery.

Technical Skills

Materials Processing & Fabrication:
Heat Treatment • Thin-Film Processing • Photolithography • Sputter Deposition • Electroplating • Reactive Ion Etching (RIE) • Dielectric Lamination • Femtosecond Laser Micromachining

Materials Characterization & Metrology:
XRD • SEM/EDS • TEM • XRF • Laser Profilometry • White-Light Interferometry (WLI) • X-ray Inspection • Shadow Moiré • Electrochemical Characterization

Materials & Applications:
Advanced Packaging • Battery Materials • Steels & Metallurgy • Sustainable Materials • Heterogeneous Integration

Computational & Data:
Python • Pandas • NumPy • Scikit-learn • Matplotlib • Machine Learning • Regression • Materials Informatics

Education

🎓 Georgia Institute of Technology
M.S. in Materials Science & Engineering

🎓 COEP Technological University
B.Tech. in Metallurgy & Materials Technology

🚀 Currently Working On

  • Optimization and characterization of functional oxide thin films
  • Materials processing and structure–property relationships
  • Building computational tools for materials analysis
  • Developing a portfolio of experimental and data-driven materials engineering projects

📫 Connect

  • GitHub: You're already here! 🙂

Anurag's GitHub stats

Pinned Loading

  1. glass-core-packaging glass-core-packaging Public

    End-to-end fabrication and characterization of a glass-core package substrate for heterogeneous integration.

  2. 17-4PH-Stainless-Steel-Heat-Treatment 17-4PH-Stainless-Steel-Heat-Treatment Public

    Optimization of heat-treatment parameters for 17-4 PH stainless steel through mechanical, microstructural, structural, and corrosion characterization.

    Python

  3. SiGC-Lithium-Ion-Battery-Anodes SiGC-Lithium-Ion-Battery-Anodes Public

    Silicon–graphite–carbon composite anodes for lithium-ion batteries, including materials synthesis, characterization, and electrochemical evaluation.

  4. Saarloha-Yield-Strength-Prediction Saarloha-Yield-Strength-Prediction Public

    Machine-learning models for predicting steel yield strength from chemical composition and heat-treatment parameters.

    Python

  5. Silica-Coal-Fly-Ash Silica-Coal-Fly-Ash Public

    Experimental study of coal fly ash valorization through vitrification and alkali-assisted sol-gel silica recovery.