Targeting VLSI & Tech/IT Placements

NITISH D T

Electronics & Communication Engineering Student | Embedded & VLSI Enthusiast

Motivated ECE undergraduate at S J M Institute of Technology (SJMIT), VTU. Passionate about embedded systems, RTL & SoC integration, generative AI platforms, and practical autonomous robotics.

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Profile Overview

About Me

Dedicated to applying engineering fundamentals, hands-on hardware/software skills, and innovative technologies to solve real-world problems.

I am an Electronics & Communication Engineering undergraduate at S J M Institute of Technology (SJMIT), affiliated with Visvesvaraya Technological University (VTU), Belgaum.

Motivated by hands-on engineering, I actively apply programming skills, AI knowledge, and practical project architecture to embedded systems and VLSI design. Currently targeting opportunities in VLSI design & verification as well as tech/IT engineering roles where I can contribute meaningfully to dynamic, technology-driven teams.

7.56

B.E. CGPA (VTU)

2027

Expected Grad

83%

PUC & SSLC

Chitradurga

Karnataka, India

Interests & Focus Areas:

Exploring AI & Emerging Tech Robotics & Embedded Systems Youth Leadership Programs Continuous Self-Learning via AI Tools

Competencies

Technical & Professional Skills

Verified skill foundation spanning embedded firmware, AI augmentation tools, hardware fundamentals, and interpersonal leadership.

Languages & Core ECE

Embedded C ECE Fundamentals Microcontroller Architecture Digital Logic & Circuits Sensor Interfacing

AI & Tech Tools

ChatGPT Claude Generative AI Platforms AI-Assisted Development Data Analytics Fundamentals

Soft Skills

Leadership Communication Problem-solving Teamwork Technical Presentation

Engineering Portfolio

Featured Projects

Real-world systems engineering demonstrating embedded programming, sensor fusion, robotics, and safety-critical architectures.

Active Project IoT & Healthcare

Intelligent IoT Healthcare Assistant for Alzheimer's Disease with Fall Detection Airbag

Architected an IoT-based healthcare assistant for continuous monitoring and proactive support of Alzheimer's patients.
Engineered a fall detection system integrated with an automatic airbag deployment mechanism to prevent injury during sudden collapses.
Integrated embedded systems, multi-sensor fusion, and IoT connectivity to trigger instantaneous emergency alerts for caregivers and medical personnel.
Enhanced the overall safety, autonomy, and quality of life for elderly and cognitively impaired individuals through resilient system design.

Embedded C Sensor Fusion Fall Detection Airbag Actuation IoT Connectivity Caregiver Alert System

Autonomous Robotics Renewable Systems

Solar-Powered Lawn Mower Robot

Built an autonomous lawn mower robot powered completely by sustainable solar energy.
Designed photovoltaic solar panel integration for eco-friendly, self-sustained continuous operation without reliance on external grid charging.
Developed the onboard embedded systems and electronic control circuits that drove the robot's locomotion and blade motor functionality.
Applied renewable energy engineering principles to demonstrate practical, cost-effective robotics integration in outdoor environments.

Autonomous Robotics Photovoltaic Integration Motor Driver Control Embedded Systems Renewable Energy

Credentials

Certifications & Achievements

National-level professional bootcamps and specialized training completed with NIELIT and partner institutions.

Bootcamp: RTL, IP Integration, and SoC Signoff

National Institute of Electronics and Information Technology (NIELIT)

Completed via NDU.Digital. Intensive 30 notional hours curriculum covering Register Transfer Level (RTL) design principles, intellectual property (IP) blocks integration, and System-on-Chip (SoC) signoff methodology.

February 2026 • 30 Notional Hours

Foundations of Data Analytics

NIELIT Chitradurga, Govt Degree College Yadgir & MetaQode Technologies

Comprehensive 40 notional hours program exploring data analysis pipelines, foundational statistics, data visualization, and analytical reasoning for tech ecosystems.

August 2026 • 40 Notional Hours

Academic Background