SHREYA JK KARRAHE
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Fullstack Development & AI/ML Leadership
Highly motivated and results-oriented B.Tech Computer Science student with a CGPA of 8.79, actively exploring emerging technologies in AI/ML, IoT, and full-stack development. Proven leadership skills as a Research Team Lead and Event Lead for IEEE CIS Student Branch Chapter, successfully organizing technical events and managing projects. Proficient in Python, C, Java, AWS, Docker, Kubernetes, and skilled in building end-to-end applications from real-time animal detection systems to AI-powered exam material generators.
G H Raisoni College of Engineering
B.Tech · Computer Science
August 1, 2023 – June 30, 2027
St. Xaviers High School, Nagpur
Class XII
N/A – May 31, 2023
St. Xaviers High School, Nagpur
Class X
N/A – May 31, 2021
Innovex AI Hackathon Platform - Fullstack development
December 1, 2025 – January 1, 2026
Developed a full-stack application for hackathon management. Built APIs for user authentication, registration, and event workflows. Ensured secure data handling and high system reliability. Designed system to support high concurrent users during live events.
AI + IoT Animal Detection System - AI / Computer Vision / IoT
July 1, 2025 – November 1, 2025
Built a real-time animal intrusion detection system using AI and IoT. Implemented CNN-based deep learning models for object detection. Developed backend APIs for real-time alerts and notifications. Designed a scalable system for continuous monitoring.
IoT-Based Child Tracking Device - IoT / Embedded Systems
May 1, 2024 – September 1, 2024
Designed a smart device for real-time child location tracking using GPS. Implemented geofencing alerts to notify parents of unusual movement. Integrated IoT sensors with mobile connectivity and cloud support. Focused on enhancing safety and real-time monitoring.
AI-Based Exam Preparation Material Generator - AI / NLP / EdTech
March 1, 2024 – May 1, 2024
Built an AI system to generate personalized study materials automatically. Developed NLP-based question generation, creating 300+ dynamic questions. Designed system to help students with smart learning and exam preparation. Used Python, Node.js, and React.js for development.
IEEE Women In Engineering
IEEE WIE
June 1, 2026 – Present
IEEE CIS Membership Certifiacte
IEEE CIS SBC, GHRCE
June 1, 2026 – Present
Achieved a perfect score, indicating excellent understanding and proficiency in the assessed full-stack frontend skills including Redis, API, and QA dashboard concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's involvement in multiple academic projects across AI, IoT, and full-stack development, coupled with leadership roles in student chapters and participation in hackathons, indicates a proactive, innovative, and collaborative mindset. Their interest in emerging technologies like AI/ML, Web3, and Blockchain aligns well with a dynamic, growth-oriented technical culture. However, the psychometric test score suggests potential areas for improvement in aspects like stress handling or logical reasoning, which could impact cultural fit in high-pressure environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, teamwork, and problem-solving skills through their roles as Event Lead and Research Team Lead. Their involvement in organizing technical events and hackathons suggests a collaborative work attitude and a commitment to continuous learning. The psychometric test score is below average, which might indicate potential areas for development in logical reasoning, stress handling, or work attitude, though more context is needed for a definitive conclusion.
Achieved a perfect score, indicating excellent understanding and proficiency in full-stack application development using Python.
Strengths
Limitations
Scored 23%, indicating significant weaknesses across multiple Python-related skills including algorithms, data analysis, unit testing, and streaming data. Suggests a need for substantial improvement in these areas.
Strengths
Limitations