Help & Supportcareers@gravityer.com
AI Research Engineer with less than a year in Machine Learning & Deep 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
AI/ML Engineer specializing in intelligent systems development and data analysis. Experienced in leveraging Machine Learning, Deep Learning, and Large Language Models (LLMs) to create solutions for alert classification, anomaly detection, and traffic optimization. Skilled in Python, Java, and C, with a strong foundation in data structures and cloud fundamentals. Contributed to industrial projects and published research, demonstrating expertise in building robust, explainable AI models and full-stack development.
BMS Institute of Technology and Management
Bachelor of Engineering · Artificial Intelligence and Machine Learning
January 1, 2023 – January 1, 2027
Base PU College
XII
January 1, 2021 – January 1, 2023
Euro School
X
January 1, 2020 – January 1, 2021
UNISYS
SLM-Based Suggestion Engine for Complex Alerts (Industrial Project)
December 1, 2025 – Present
India
Insider Threat Detection System
January 1, 2026 – Present
Developing an anomaly detection system using Isolation Forest, LOF, One-Class SVM, and LSTM Autoencoder to identify anomalous user behaviour from enterprise activity logs. Implemented adaptive risk scoring and SHAP-based explainability using the CERT Insider Threat Dataset to enhance cybersecurity monitoring and early threat detection.
AI Driven Multi-Class ECG Analyser (CardioVision)
January 1, 2025 – December 1, 2025
Built CardioVision, an AI-driven ECG Arrhythmia Detection system using a CNN-LSTM architecture to classify cardiac abnormalities from the MIT-BIH Arrhythmia Dataset. Implemented ECG signal preprocessing, multi-class heartbeat classification, and Grad-CAM-based explainable AI for model interpretability, achieving ~93% classification accuracy.
FarmBuy - Farmer-Buyer Marketplace
January 1, 2024 – December 1, 2024
Implemented a web-based Farmer-Buyer Management System using PHP and MySQL to facilitate direct transactions between farmers and buyers. Developed user authentication, product listing, and order tracking functionalities, along with product filtering and dashboard features to improve accessibility and transparency.
Hands-On Version Control with Git
Infosys Springboard
June 1, 2026 – Present
Python Fundamentals
Infosys Springboard
June 1, 2026 – Present
Machine Learning with Python – Cognitive Class
IBM
June 1, 2026 – Present
Foundations of Cloud Computing
Google Skills
June 1, 2026 – Present
Introduce to LLM's
NPTEL Certification
June 1, 2026 – Present
AI-Driven Smart Ambulance and Dynamic Traffic Control System for Optimized Emergency Response
XXII Control Instrumentation Systems Conference (CISCON 2025), Manipal, co-sponsored by IEEE Bengaluru
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong alignment with an AI Research Engineer role, given their specialized education, relevant projects, and industrial experience. The diversity of projects (cybersecurity, healthcare, e-commerce, industrial automation) indicates adaptability and a broad interest in applying AI across different domains. The certifications in ML, Python, Git, and LLMs demonstrate a commitment to continuous learning and staying updated with industry trends, which is a positive indicator for cultural fit in a dynamic research environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on practical application of AI/ML concepts. The industrial project with UNISYS suggests an ability to work in a collaborative, real-world environment. The academic projects demonstrate initiative and a structured approach to development, including data preprocessing, model building, and evaluation. The publication further highlights research capabilities and a commitment to contributing to the field.