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AI Engineer with less than a year in Generative AI & 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
Seeking an entry-level position in the IT sector to leverage technical skills and a passion for problem-solving. Eager to contribute to innovative software development and system analysis projects while gaining practical industry experience. Committed to continuous learning, adaptability, and professional growth within a collaborative team environment.
Sagi Ramakrishnam Raju Engineering College
Bachelor's Degree · Computer Science and Engineering
N/A – June 30, 2026
Blackbuck Engineers Pvt. Ltd.
Virtual Internship – ChatGPT, Prompt Engineering & Generative AI
May 1, 2025 – July 1, 2025
India
AICTE - EduSkills - Alteryx SparkED
Virtual Internship - Data Analytics Process Automation
January 1, 2025 – March 1, 2025
India
Sign Language Detection System
June 1, 2026 – Present
Built a real-time hand gesture recognition system using computer vision and machine learning to interpret basic sign language from webcam input. This project demonstrated the practical application of image processing and model training.
Mini Alexa - Voice-Based Assistant
June 1, 2026 – Present
Designed a Python-based voice assistant capable of performing simple tasks like playing music, setting reminders, and answering user questions. Integrated basic natural language processing and speech recognition to create an interactive user experience.
Cisco IT Essentials
Cisco
June 1, 2026 – Present
Introduction to Cybersecurity
Cisco
June 1, 2026 – Present
Java Programming Fundamentals
edX
June 1, 2026 – Present
Programming Essentials in C++
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying new technologies, particularly in the AI/ML domain. The diversity of projects (voice assistant, sign language detection, data automation) shows a broad interest in different applications of AI. The emphasis on teamwork and problem-solving aligns with a collaborative and innovative work culture. However, the experience is primarily academic and virtual, so real-world team dynamics and project delivery experience are limited.
Soft Skills & Operational Fit
The candidate highlights strong soft skills such as communication, time management, adaptability, problem-solving, teamwork, and critical thinking. These are essential for collaborative engineering environments. The internship experiences also emphasize teamwork and problem-solving, indicating a good operational fit for structured project work.