Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Machine Learning, Deep Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI. Experienced in developing predictive models, working with transformer-based architectures, and creating systems that can retrieve, reason, and generate human-like responses from large datasets. Currently taking initial steps into autonomous AI systems and their potential to automate intelligent, multi-step tasks. Passionate about developing intelligent, data-driven solutions to solve real-world problems and support impactful decision-making.
University of Calicut
Bachelor of Computer Applications - BCA · Computer Applications
August 1, 2022 – May 1, 2025
Amrita Vidyalayam
Commerce with Informatic Practices · Commerce with Informatic Practices
July 1, 2020 – May 1, 2022
Luminar Technolab
Data Science Intern
June 1, 2025 – May 1, 2026
Kalamassery, Kerala, India
YouTube Video Knowledge Base
June 1, 2026 – Present
Developed a RAG-based QA system that transcribes YouTube playlists using Whisper, stores semantically chunked transcripts in a FAISS vector database, and retrieves context to generate grounded answers with clickable timestamp citations using a large language model. Tech: Python, Whisper, yt-dlp, LangChain, FAISS, Sentence Transformers, Gemini API, Streamlit.
AI Karate Trainer for Hand Posture
June 1, 2026 – Present
Developed a deep learning-based system to recognize karate hand symbols and correct hand position and posture in real time, functioning as an AI trainer. Utilized hand landmark detection to analyze movements and provide accurate feedback. Tech: Python, MediaPipe, OpenCV, NumPy, Hand Landmarks.
Fraudulent Job Offer Letter Detection
June 1, 2026 – Present
Implemented an NLP-based solution to identify fraudulent job offer letters using text preprocessing and feature extraction techniques. Deployed an interactive Streamlit interface to display real-time prediction results. Tech: Python, Pandas, NumPy, Matplotlib, Seaborn, NLP, Scikit-learn, Streamlit.
Python Programming - Data Analysis and Application Design with Project
ICT Academy of Kerala
June 1, 2026 – Present
NACTET Certified in Python Data Science AI ML
Luminar Technolab
June 1, 2026 – Present
AWS for Beginners - Introduction to cloud concepts and AWS services
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in AI/ML through personal projects and a data science internship. The projects demonstrate initiative and a passion for applying AI to real-world problems, which aligns well with an innovative and problem-solving culture. The diversity of projects (RAG, Computer Vision, NLP) indicates a broad interest within AI, suggesting adaptability and a willingness to explore different domains. However, the experience is primarily academic and internship-based, so the ability to collaborate in a fast-paced, team-oriented corporate environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, and time management as soft skills. While these are crucial for an AI Engineer role, the provided data does not offer specific examples or assessments to validate their proficiency in these areas. The project descriptions indicate an ability to tackle complex problems and implement solutions, suggesting a foundational level of problem-solving and analytical thinking.