
AI Engineer with 2+ years in Machine Learning & Computer Vision
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science graduate specializing in Artificial Intelligence and Machine Learning, seeking an entry-level role to apply technical skills, gain industry exposure, and grow as a software engineer in a collaborative environment.
Kakinada Institute of Engineering and Technology
B.Tech · Computer Science Engineering (AI & ML)
November 1, 2021 – May 1, 2025
Aditya College
Class XII
June 1, 2019 – March 1, 2021
Little Star High School
Class X
June 1, 2018 – April 1, 2019
EduSkills (AICTE)
AI & ML Intern
July 1, 2024 – September 1, 2025
India
Salesforce
Salesforce Intern Salesforce Administration & Development
June 1, 2024 – August 1, 2025
India
IIIT Hyderabad
Summer Intern
May 1, 2024 – July 1, 2024
India
Customer Analysis on Online Retail
June 1, 2025 – September 1, 2025
Applied machine learning for customer purchasing pattern analysis and segmentation. Result: Identified customer segments that improved targeted marketing insights and decision-making.
View ProjectBrain Tumor Segmentation
March 1, 2025 – June 1, 2025
Built a deep learning-based medical imaging solution for automated brain tumor segmentation. Result: Achieved accurate tumor region detection, supporting improved medical image analysis.
View ProjectReal-Time Image Animation
December 1, 2024 – March 1, 2025
Developed a computer vision system to generate real-time dynamic image animations. Result: Successfully demonstrated real-time animation output and led effective team coordination.
View ProjectMachine Learning
edX
June 17, 2026 – Present
Data Engineering Master
Rapidminer
June 17, 2026 – Present
Python Programming
Infosys
June 17, 2026 – Present
Cybersecurity Essentials
Cisco
June 17, 2026 – Present
6-Week AI Workshop with Hands-on Experience
KIET Robotics
June 17, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong focus on AI/ML, aligning well with an AI Engineer role. The diversity of projects (medical imaging, customer analysis, real-time animation) shows a broad interest within the AI domain. Participation in hackathons and workshops suggests a proactive and collaborative learning approach, which generally contributes positively to cultural fit in a dynamic technical environment. However, the experience level is entry-level, and the projects are academic, so real-world team collaboration and problem-solving under pressure are yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, leadership, time management, adaptability, and problem-solving as soft skills. While these are crucial for operational fit, there is no direct evidence from the provided data (e.g., interview feedback, peer reviews) to validate these claims beyond self-assessment. The 'Real-Time Image Animation' project mentions 'led effective team coordination,' which is a positive indicator for teamwork and leadership.