Shivansh Gupta
21bec041@nith.ac.in — +91-7017899566 —
Objective
PhD-level electronics expert seeking to contribute as a Data Partner with TELUS International AI by developing
challenging, high-quality question-and-solution sets that support AI model training, enhance data quality, and improve
reasoning systems across global AI platforms.
Education
Ph.D. in Electronics Engineering 2019 – 2024
Indian Institute of information Technology (IIIT) Delhi, India
Thesis: ”Design and Analysis of Low-Power Analog Circuits for Biomedical Applications”
Focus Areas: Analog Electronics, Signal Processing, Circuit Simulation, Device Modeling
M.Tech in Electronics and Communication Engineering 2017 – 2019
National Institute of Technology (NIT), jaipur, India
B.Tech in Electronics and Communication Engineering 2013 – 2017
National Institute of Technology (NIT), jaipur
Skills
• Domain Expertise: Analog Digital Circuits, Signal Processing, Microelectronics, Communication Systems
• Content Development: Academic writing, problem-solving, solution writing, LaTeX documentation
• Tools Languages: MATLAB, LTspice, Cadence, Simulink, Multisim, Python, LaTeX, C++
• Soft Skills: Strong English proficiency, technical explanation, attention to detail
Freelance / Projects
Advanced Question Design for AI Model Training (Electronics) Remote — Freelance
• Designed over 150 complex, domain-specific problem sets involving analog circuits, control theory, and digital
logic.
• Developed multi-step questions requiring deep reasoning, aligned with academic standards and AI model training
needs.
• Ensured clarity and pedagogical value in solutions for use in large-scale machine learning systems.
Multi-layer PCB Design for Signal Integrity Optimization Academic Simulation Project
• Designed and simulated a 4-layer PCB system using Altium and LTspice for high-speed data applications.
• Applied EMI reduction techniques and validated design through MATLAB signal integrity analysis.
Low Power Amplifier Modeling for Bio-Signal Acquisition Doctoral Research Project
• Modeled and simulated low-power amplifier systems in 180nm CMOS using Cadence Virtuoso.
• Focused on high CMRR, low THD, and improved PSRR for medical-grade sensor interfaces.
Certifications
• NPTEL: Electronic Systems and Signal Processing – IIT Bombay
• Coursera: AI for Everyone – Stanford University
Languages
• English – Fluent (written and spoken)
• Hindi – Native
Other Information
• Available for part-time remote contractual work
• Comfortable with flexible hours and international collaboration
• Open to assessments and ID verification for project onboarding