AI Engineer with less than a year in Embedded Systems, AI/ML & Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented ECE graduate with practical experience in Advanced Embedded Systems, AI/ML, and Data Analytics. Proficient in C, C++, Python, and SQL, with hands-on experience in developing high-performance applications, implementing communication protocols (TCP/IP, UART, SPI), and real-time data processing. Skilled in designing interactive dashboards with Power BI and contributing to research in deep learning approaches for blood pressure estimation.
Kakatiya Institute of Technology and science
B.Tech · ECE
N/A – June 30, 2024
SR Junior college
MPC
N/A – May 31, 2020
Ideal High School
SSC
N/A – May 31, 2018
Data Visualization & Analytics
June 1, 2026 – Present
Designed interactive dashboards in Power BI and performed data transformation and modeling to integrate disparate datasets for comprehensive reporting.
Real Time Distance Measurement Device
June 1, 2026 – Present
Designed and implemented an ultrasonic distance measurement system using an 8051 microcontroller which displays the object distance on a 2x16 LCD display with LED alert system.
Photoplethysmogram (PPG)-Based Blood Pressure Estimation using Vision Transformer Networks: A Deep Learning Approach.
January 1, 2024 – January 1, 2024
Co-authored and contributed to data collection, preprocessing, and data transformation. Evaluated the performance of RESNET50 against Google Vision Transformer (ViT). Presented at the 2024 International Conference on Artificial Intelligence for Internet of Things (AIIoT).
Database Management Systems
NPTEL
June 1, 2026 – Present
AI and ML for Engineering and Science Applications
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the research publication on Vision Transformers, align well with an AI Engineer role, demonstrating an interest in cutting-edge AI topics. The diversity of projects (data visualization, embedded systems, deep learning) shows a broad technical curiosity. However, the lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and contribute to research. The academic projects suggest a structured approach to problem-solving. However, without specific behavioral or teamwork assessments, it's difficult to fully gauge soft skills and operational fit beyond technical contributions.