AI Research Engineer with less than a year in AI/ML & Generative AI technologies
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Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence and Data Science with a strong interest in developing AI-driven applications and intelligent systems. Enjoy exploring Artificial Intelligence, Machine Learning, and Generative AI technologies. Seeking an entry-level opportunity to contribute to innovative AI solutions while gaining hands-on industry experience.
Excel Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Ponnaiyah Ramajayam Public Higher Secondary School
12th Standard · HSE
N/A – May 31, 2022
Ponnaiyah Ramajayam Public Higher Secondary School
10th Standard · SSLC
N/A – May 31, 2020
Imaggar Technologies
AI/ML Intern
January 1, 2026 – May 1, 2026
India
RAG - BASED AI СНАТВОТ
June 19, 2026 – Present
Developed an AI chatbot using Retrieval-Augmented Generation (RAG) to retrieve relevant document data and generate context-aware responses using Large Language Models (LLMs).
View ProjectAI-BASED RESUME DETECTION AND ANALYSIS SYSTEM
June 19, 2026 – Present
Developed an AI-powered resume analysis system to parse resumes, extract key information, and evaluate candidate profiles using Natural Language Processing (NLP).
View ProjectAI-DRIVEN CROP DISEASE PREDICTION AND MANAGEMENT
June 19, 2026 – Present
Built an AI-based system to detect crop diseases from leaf images using deep learning and provide disease prediction with treatment recommendations for smart agriculture.
View ProjectCultural Fit Analysis
The candidate's academic background and project diversity in AI (chatbots, crop disease prediction, resume analysis) show a broad interest and foundational understanding across various AI domains. The internship experience aligns well with the target role of an AI Research Engineer, demonstrating practical application of learned skills. The candidate's profile suggests a strong inclination towards research and development in AI, which is a good fit for a research-oriented role. However, the lack of non-academic or community contributions limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience indicate a proactive approach to learning and applying AI technologies. The academic projects demonstrate problem-solving skills and an ability to work independently on complex AI tasks. However, without specific behavioral or teamwork assessments, it's difficult to fully gauge soft skills like collaboration, stress handling, or communication clarity in a team setting.