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AI Engineer with less than a year in multimodal AI systems and computer vision.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence and Data Science with hands-on experience building multimodal AI systems, computer vision pipelines, and RAG-based chatbots through an internship at IIT-Madras. Skilled in Python, PyTorch and Deep Learning. Seeking to apply production-ready ML and AI engineering skills in a challenging role at an innovative IT company.
SRIRAM ENGINEERING COLLEGE
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
IIT-MADRAS
AI/ML INTERN- Multimodal Chatbot for NDE
March 1, 2025 – June 1, 2025
India
MULTIMODAL CHATBOT FOR NON-DESTRUCTIVE EVALUATION
June 1, 2026 – Present
Multimodal Input: Supports both text queries and image-based inputs for inspection analysis. Defect Detection & Classification: Uses computer vision models to identify cracks, corrosion, weld defects, etc. Interactive Interface: Built using Gradio for an easy-to-use interface where engineers can upload images, ask queries, and receive instant insights. It can be deployed on cloud platforms for real-time industrial use.
CUSTOMER BEHAVIOR ANALYSIS
June 1, 2026 – Present
Cleaned and analyzed customer shopping data using Python, Pandas, NumPy, and SQL. Performed exploratory data analysis to identify customer purchase behavior and sales trends. Wrote SQL queries using GROUP BY, aggregate functions, filtering, and sorting techniques. Built interactive dashboards in Microsoft Power BI to visualize revenue, customer insights, and product performance.
FAULTVISION AI - AI Powered Fault Detection and Monitoring System Using IoT
January 1, 2026 – May 1, 2026
Real-Time Monitoring using ESP32-CAM & IoT Sensors: Continuously monitors 3 sensor types (temperature, gas, smoke) using ESP32-CAM, MQ2/MQ5 sensors, and MQTT protocol with under 2-second alert response time. AI-Based Fault Detection: Isolation Forest model achieving ~95% anomaly detection precision on industrial sensor data. Interactive Dashboard using Flask & Socket.IO: Developed a real-time web dashboard using Flask, Socket.IO, HTML, CSS, and JavaScript for live monitoring and visualization. Automated Alert System using Twilio & SMTP: Integrated Twilio API, SMTP email services, and buzzer alerts for instant fault notifications across 5+ fault categories, reducing manual monitoring effort by ~60%.
Data Analytics One-Day Boot Camp
NoviTech
June 1, 2026 – Present
Winner of Brain Brashes Event
Unknown
June 1, 2026 – Present
Artificial Intelligence - 30 Days Master Class
NoviTech
June 1, 2026 – Present
one-month internship in Data Science
Prodigy InfoTech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects cover diverse areas like multimodal chatbots, IoT-based fault detection, and customer behavior analysis, showing a broad interest in AI applications. The academic background in AI and Data Science, coupled with an internship at IIT-Madras, aligns well with an innovative IT company culture. The participation in various workshops (AI, Power BI, Robotics, VR, ML) further indicates a continuous learning mindset and adaptability.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and an internship, indicating a proactive work attitude. The project descriptions suggest an ability to work on complex, multi-faceted problems. However, without specific psychometric or English test scores, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.