Help & Supportcareers@gravityer.com
AI Engineer with 4+ years in Generative AI & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ambitious AI Engineer with a solid foundation in Python, NLP, and LLM frameworks like LangChain. Experienced in developing RAG-based chatbots and Fine-tuning models using projects and internships. Passionate about leveraging Generative AI to enhance user interaction and improve operational efficiency.
Nehru Memorial College of Arts and Science, Trichy
B.Sc · Computer Science
August 1, 2017 – June 30, 2020
NEHRU MEMORIAL COLLEGE,TRICHY
IQAC Assistant
January 1, 2022 – December 31, 2025
Tiruchirappalli, Tamil Nadu, India
Generative AI: RAG Pipeline for Specialized Domain QA
June 1, 2026 – Present
Build a Retrieval-Augmented Generation (RAG) chatbot that answers questions based on a specific, private dataset (e.g., legal, medical, or technical manuals).
Computer Vision: Autonomous Vehicle Traffic Sign Classifier
June 1, 2026 – Present
Develop a system to detect and classify traffic signs in real-time using Convolutional Neural Networks (CNNs), focusing on performance in challenging weather/lighting conditions.
Predictive Analytics: Financial Time-Series Forecasting Engine
June 1, 2026 – Present
Implement an AI system to forecast stock prices, cryptocurrency, or demand trends using historical data.
Cultural Fit Analysis
The candidate's project diversity (Generative AI, Computer Vision, Predictive Analytics) indicates a broad interest in different AI domains, which could be a positive for cultural fit in a dynamic AI team. The stated availability for 'GenAI Engineer / AI Architect roles' aligns with the target role. However, the professional experience is non-technical, which might indicate a gap in understanding typical corporate software development environments and team dynamics. The projects are personal, which is good for initiative, but lacks evidence of collaborative development or adherence to industry best practices in a team setting.
Soft Skills & Operational Fit
The candidate's professional experience as an IQAC Assistant suggests organizational skills, documentation abilities, and potentially some level of coordination and feedback management. However, direct evidence of advanced problem-solving, leadership, or complex team collaboration in a technical context is limited. The resume mentions 'Strong communication & stakeholder management skills' but this is not explicitly demonstrated through technical project descriptions or professional experience relevant to an AI Engineer role.