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AI Research Engineer with 2+ years in Machine Learning & AI Hardware
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Assessing your cultural and operational fit
M.Tech graduate in Electronics Engineering (AI Hardware) with expertise in artificial intelligence, neuromorphic computing, FPGA-based system design, and machine learning applications. Possessing strong analytical, research, and problem-solving skills, with hands-on experience in AI model development, data analytics, and hardware-aware computing frameworks. Passionate about developing intelligent, low-power, and scalable computing solutions, and seeking opportunities to contribute to cutting-edge AI and embedded hardware technologies.
Digital University Kerala
Master's in Technology · Electronics Engineering (AI Hardware)
August 1, 2024 – June 30, 2026
APJ Abdul Kalam Technological University
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2017 – June 30, 2021
Higher Secondary Education
Higher Secondary Education · Bio-Maths
June 1, 2015 – May 31, 2017
Central Board of Secondary Education
High School (10)
June 1, 2014 – May 31, 2015
ELECTRONICS DIVISION, PWD, GOVERNMENT OF KERALA
ENGINEERING ASSISTANT
January 1, 2023 – December 31, 2024
Kerala, India
FRAGOMEN, INFOPARK, KOCHI
PROCESS ASSISTANT
January 1, 2023 – December 31, 2023
Cochin, Kerala, India
Cultural Fit Analysis
The candidate's pursuit of a Master's in AI Hardware and involvement in projects like 'IoT Based Home Automation' and 'Neuromorphic EMG-Based Gesture Recognition' demonstrate a proactive interest in cutting-edge technologies and a desire to contribute to impactful applications. Volunteering at IEEE RAICS 2025 indicates engagement with the technical community. The diverse educational background and stated soft skills suggest an individual who values continuous learning and collaboration, which are positive indicators for cultural fit in a research-oriented team. However, the professional experience is not directly in AI research, which might require a period of adjustment to a more specialized research culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Research Aptitude, Technical Curiosity, Problem Solving, Critical Thinking, Teamwork, and Communication Skills. These are crucial for an AI Research Engineer role, which often involves complex problem-solving, collaborative research, and clear articulation of findings. The experience as an Engineering Assistant and Process Assistant, while not directly technical in AI, suggests an ability to handle administrative tasks, document processes, and assist in project planning, which can contribute to operational efficiency in a research environment.