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AI Engineer with less than a year in AI/ML & IoT systems
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Electronics & Communication Engineer with a Minor in AI & ML, seeking an AI internship at Bristlecone. Hands-on with the full machine-learning workflow — data preprocessing, feature engineering, model training, and evaluation in Python (Scikit-learn, Pandas, NumPy) — demonstrated through an end-to-end predictive-maintenance system achieving ~88% accuracy. Backed by a strong foundation in IoT, embedded systems, and data pipelines (Node-RED, MQTT, MongoDB, Grafana). Eager to apply ML to real enterprise problems.
GTU
Minor Degree · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2026
L.D. College of Engineering, GTU
B.E. Electronics & Communication Engineering · Electronics & Communication Engineering
August 1, 2022 – June 30, 2026
digiXLT
AI / IoT Intern
January 1, 2026 – Present
India
eInfochips (An Arrow Company) / GTU
Trainee — RTL to GDS-II
June 1, 2025 – July 1, 2025
India
AI-Powered Predictive Maintenance System for Industrial Machines
June 1, 2026 – Present
Trained a Random Forest classifier on historical machine sensor data to predict equipment failure with ~88% accuracy; applied data preprocessing and feature engineering from AI & ML coursework. Built an end-to-end IIoT pipeline using Node-RED and MQTT to collect real-time sensor data (vibration, temperature) from simulated machines; visualised live telemetry on Grafana dashboards for anomaly monitoring. Evaluated the model with precision, recall, and F1-score, tuned hyperparameters via cross-validation, and surfaced predictions to the dashboard layer — a complete workflow from raw data to actionable maintenance alerts.
ECG Monitoring System
June 1, 2026 – Present
captured ECG data via NodeMCU/AD8232, uploaded to the cloud, and ran real-time analysis through a mobile app and web platform.
Smart Fire & Intrusion Detection Robot
June 1, 2026 – Present
NodeMCU robot with fire detection, intrusion monitoring, and obstacle avoidance using flame, PIR, and ultrasonic sensors with IoT alerts via ThingSpeak.
MUX-Based ALU
June 1, 2026 – Present
Designed a 4-bit MUX-based ALU in Verilog supporting ADD, SUB, AND, OR, and NOT; developed a comprehensive testbench to functionally verify the design in Vivado.
View ProjectVLSI Chip Design Flow
Unknown
June 1, 2026 – Present
Adv. Semiconductor Packaging
Coursera
June 1, 2026 – Present
Semiconductor Workshop
IIT Gandhinagar
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive and hands-on approach to learning and applying technical skills. The diversity of projects, from embedded systems to AI/ML and IoT, indicates a broad interest and adaptability. The current internship and minor in AI/ML show a clear career trajectory towards an AI Engineer role, suggesting a good fit for a growth-oriented and technically challenging environment. The academic focus on both hardware and software aspects of engineering could be a strong asset in roles requiring full-stack AI/IoT solutions.
Soft Skills & Operational Fit
The candidate's involvement in NSS suggests teamwork and leadership skills. The project descriptions indicate an ability to work on complex, multi-faceted problems. The resume is well-structured and clear, implying good communication skills. The academic background in ECE combined with an AI/ML minor shows a strong interdisciplinary approach.