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AI Engineer with less than a year in embedded systems and IoT.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To begin my career in the field of Electronics and Communication where I can utilize my knowledge of digital electronics and communication systems to contribute effectively to organizational growth. Possessing hands-on experience in developing a real-time temperature & humidity monitoring system and a portable AI voice assistant using ESP32, integrating sensors, microcontrollers, and IoT connectivity.
GURU NANAK DEV ENGINEERING COLLEGE BIDAR
Bachelor of Engineering (B.E) · Electronics and Communication
August 1, 2023 – June 30, 2027
SHAHEEN INDEPENDENT PU COLLEGE BIDAR
PUC · PCMB
N/A – Present
HOLY SHEPHERD HIGH SCHOOL
S.S.L.C
N/A – Present
ISTE Students Chapter
Event Coordinater - TECHNOVISION-26
April 29, 2026 – April 30, 2026
India
Dept. of ECE
Event Coordinator - ICICNCT 2025
September 4, 2025 – September 6, 2025
India
GNDEC
Hackathon Participation
September 1, 2025 – September 30, 2025
India
Dept. of ECE
Event Coordinator and Participator - NCEEICT National Conference
May 17, 2025 – May 18, 2025
India
HBRP Publications
Paper Publication - Obstacle Avoiding Robot for Military Applications Using Arduino
January 1, 2025 – December 31, 2025
India
Temperature & Humidity Monitoring System
June 1, 2026 – Present
Designed and developed a real-time temperature & humidity monitoring system using DHT11/22 sensor and microcontroller (Arduino/ESP32) Implemented data acquisition and processing for accurate environmental parameter measurement Displayed live sensor data using LCD/Web Server/Mobile App for user friendly monitoring Utilized IoT connectivity (Wi Fi/MQTT/Blynk/Cloud) to enable remote data access Documented project flow, circuit design, and code for easy reproducibility
Portable AI Voice Assistant using ESP32
June 1, 2026 – Present
Designed and developed a low-cost, battery-powered embedded voice assistant capable of real-time speech recognition and audio response using an ESP32 microcontroller. Integrated I2S microphone, MAX98357A audio amplifier, and speaker for high-quality audio capture/output, with Wi-Fi connectivity for cloud-based AI processing. Implemented offline command handling and online speech-to-text, AI response generation, and text-to-speech using a Python Flask server and APIs. Enabled hands-free IoT control, smart interactions, and portable deployment, demonstrating expertise in embedded systems, audio processing, and AI/IoT integration
CERTIFICATE OF APPRECIATION
[ISTE Students Chapter]
June 1, 2026 – Present
COURSE COMPLETION CERTIFICATE : Introduction to the Line Finder Sensor & Ultrasonic Sensor
Unknown
June 1, 2026 – Present
CERTIFICATE OF APPRECIATION: Contributed as Volunteer for International Conference on Intelligence Communication Networks and Computaional Techniques (ICICNCT - 2025)
Unknown
June 1, 2026 – Present
PAPER PUBLICATION CERTIFICATE: "Obstacle Avoiding Robot for Military Applications using Arduino"
Unknown
June 1, 2026 – Present
TRAINING CERTIFICATE 3D Printing
Unknown
June 1, 2026 – Present
PARTICIPATION CERTIFICATE: Internal Hackathon [29 sept 2025]
Unknown
September 29, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical applications of technology, particularly in IoT and embedded AI, which aligns with an AI Engineer role. Their involvement in various events and a hackathon suggests a proactive and collaborative attitude. The breadth of skills, though foundational, shows a willingness to explore different technical areas. However, the experience is entirely academic, and the target role of 'AI Engineer' is ambitious given the current depth of AI-specific skills.
Soft Skills & Operational Fit
The candidate has experience in event coordination, which suggests organizational skills, teamwork, and potentially public speaking (delivering speeches). Participation in a hackathon also indicates a collaborative and problem-solving mindset. However, the experience is primarily academic and event-based, with limited direct professional software development or AI engineering operational experience.