Help & Supportcareers@gravityer.com
AI Engineer with less than a year in ML pipelines and Python backend development.
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 with hands-on experience building machine learning pipelines, integrating LLM-powered applications, and developing Python-based backend APIs. Practical exposure to Generative AI, prompt engineering, RAG pipeline concepts, vector search, and LLM orchestration through academic projects and applied work. Proficient in Python, FastAPI/Flask, data preprocessing, and embedding workflows. Strong foundation in ML model development using Scikit-learn and OpenCV, with a deep interest in pushing the boundaries of intelligent automation and Generative AI-driven application development.
Guru Nanak Institutions Technical Campus
B.Tech · Computer Science
January 1, 2021 – January 1, 2025
GlobalLogic
Associate Analyst
October 1, 2025 – Present
Hyderābād, Telangana, India
Tagsol Nova Pvt. Ltd.
Software Developer Intern
July 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
Fee Management System - Python Backend & Data Pipeline
August 1, 2025 – August 1, 2025
• Designed and deployed a Python Flask backend with structured data ingestion, preprocessing, and API serving layers - demonstrating practical FastAPI-equivalent backend engineering for data-driven applications.
Aircraft Tracking System - ML Model Integration & Pipeline
February 1, 2025 – February 1, 2025
• Built an end-to-end ML pipeline - handling data ingestion, preprocessing, feature extraction, model integration, and iterative evaluation - directly mirroring GenAI application development workflows. • Integrated Scikit-learn classification models and Kalman Filter for trajectory prediction - applying prompt-style parameter tuning and iterative output validation to improve model accuracy.
Smart Surveillance System AI-Powered IoT Automation
November 1, 2024 – November 1, 2024
• Built an intelligent automation system using Python and OpenCV for AI-driven motion detection - integrating model outputs with a Flask REST API backend and cloud services for real-time decision-making.
Cultural Fit Analysis
The candidate's academic projects show diversity in AI/ML applications (surveillance, aircraft tracking, fee management), indicating a broad interest in applying AI solutions. The experience as an Associate Analyst and Software Developer Intern aligns well with the practical, data-driven aspects of an AI Engineer role. The breadth of skills listed (Python, ML frameworks, databases, backend APIs) suggests adaptability and a willingness to learn new technologies, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in Agile sprints and collaboration with cross-functional teams. The project descriptions indicate an ability to translate business requirements into technical solutions. However, the provided data does not offer specific insights into stress handling or team collaboration beyond general statements.