Thin Film Research
Transition metal alloy thin film deposition with comprehensive structural and magnetic characterization.
M.Sc. Electronics | UGC-NET Qualified | Ph.D. Eligible
Thin Film Researcher specializing in Fe₀₀Co₂₀ alloys on flexible substrates. Bridging materials science with spintronic device engineering.
M.Sc. Electronics graduate from University of Delhi, South Campus, specializing in thin film deposition and magnetic materials. My dissertation investigates Fe₀₀Co₂₀ alloy thin films via DC sputtering on flexible copper substrates, characterized using XRD, VSM, and FMR techniques.
UGC-NET qualified (Electronic Science) with hands-on experience in embedded systems, circuit design, and VLSI — bridging fundamental physics with practical engineering applications in spintronics and flexible electronics.
Get in TouchResearch, hardware and software capabilities built through years of hands-on work.
Transition metal alloy thin film deposition with comprehensive structural and magnetic characterization.
Study of magnetization dynamics, Gilbert damping constants, and spintronic device properties on flexible substrates.
Prototyping solutions with microcontrollers, real-time programming and hardware debugging.
Scientific computation and data analysis for research characterization.
Analog/digital circuit design, VHDL programming, and simulation using industry tools.
Clean, responsive interfaces and data-visualization tools for technical projects.
Research and engineering projects demonstrating my work across materials science and development.
M.Sc. Dissertation: Fe₀₀Co₂₀ alloy thin films on flexible copper tape via DC sputtering. XRD, VSM, and FMR characterization for spintronic property analysis.
Exploring spintronic properties and magnetization dynamics on bendable substrates for next-gen wearable and flexible device applications.
India's semiconductor & VLSI careers hub — 944+ verified JRF, PhD, DRDO, ISRO and CSIR circulars aggregated in one place.
A free, login-free VLSI curriculum — 15 learning paths, 150 modules and 55 STA interview questions covering the full RTL-to-GDSII flow.
Resume builder, ATS score checker, cover-letter generator and job matching for hardware and semiconductor engineers.
GATE ECE CBT practice portal replicating the NTA / TCS iON exam interface, with 1,064+ verified questions across 10 subjects.
AI-powered scrap pickup platform connecting households with verified vendors. Built with Next.js, live pricing, route optimisation, and multi-city operations across Haryana, Rajasthan & UP.
Full-stack laundry service web app built with friends using vibe coding & AI agents. Features online booking, order tracking, and route-optimised pickup/delivery for Narnaul.
Fog road-safety dashboard with drowsiness alerts, 1 km proximity warnings, live speed readout and an SOS trigger.
A full Blogger-built agency site covering technical SEO, local SEO, link building and AI search optimisation, with a custom XML theme.
NEET, JEE and board exam preparation frontend, built with performance and organic discovery in mind.
Corporate web presence — design, build, SEO implementation and technical performance work for a business that builds and operates companies.
Design and development for a creative studio brand, with technical SEO and user-experience improvements throughout.
Classic Snake game reimagined as an interactive responsive web application using vanilla JavaScript and the HTML5 Canvas API, with score tracking.
Research collaboration, project inquiry, job opportunity, or just a hello — my inbox is always open.
Amit Kumar (amitkr26) is an M.Sc. Electronics graduate from University of Delhi, South Campus, specializing in thin film spintronics, VLSI design, and embedded systems. UGC-NET qualified for Ph.D. in Electronic Science.
Amit Kumar researches Fe80Co20 alloy thin films deposited via DC sputtering on flexible copper substrates, characterized using XRD, VSM, and FMR for spintronic applications including magnetization dynamics and Gilbert damping analysis.
Yes, Amit Kumar qualified UGC-NET in Electronic Science (Paper 088) in December 2025 with 136/300 marks (77.77 percentile), eligible for Ph.D. and Assistant Professorship.
Amit Kumar has expertise in DC sputtering, XRD, VSM, FMR, MATLAB, Python, Verilog, VHDL, Arduino, ESP32, embedded C, HTML/CSS, JavaScript, Proteus, Multisim, and PSpice.
Find Me Online
Active across multiple platforms — from code and research to content and community.