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AI Engineer with less than a year in Machine Learning & Full-Stack 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
Motivated AI Engineer with hands-on experience in Machine Learning, Deep Learning, and Full-Stack Application Development. Passionate about building intelligent systems that combine data, APIs, and user-centric design. Seeking opportunities to contribute to AI-driven products while enhancing skills in Backend Engineering and Data Analysis.
Anurag University
B. Tech · Artificial Intelligence
N/A – June 30, 2026
K. V. Picket
12th CBSE · Science
N/A – May 31, 2022
K. V. Picket
10th CBSE
N/A – May 31, 2020
Neura Core AI
January 1, 2026 – Present
Designed and developed an AI-powered assistant with modular prompt workflows using Python. Built RESTful APIs to handle user queries, response generation, and system interactions. Designed relational data models and wrote SQL queries to store and analyze user interactions and response patterns. Optimized system performance by analyzing latency and response quality.
Hangman
April 1, 2025 – Present
Created an interactive word-guessing game in Python, implementing logic for scoring, letter tracking, and user interaction. Focused on clean modular design using functions, loops, and condition handling to improve code readability and gameplay experience.
Brain in Gaming
January 1, 2025 – Present
Developed an AI-integrated gaming platform using the MEAN Stack (MongoDB, Express.js, Angular, Node.js) and Brain-Computer Interface (BCI). Integrated real-time brainwave and emotion analysis to dynamically adjust game difficulty and engagement. Designed the frontend interface for games such as Brain Beats, Mind Maze, Neuro Dash, and Cerebral Crossing. Won 1st Prize at Department-level.
Facial Emotion Recognition System
December 1, 2024 – Present
Implemented a CNN-based Deep Learning Model using Python and TensorFlow to recognize facial emotions. Deployed the model with Flask for real-time emotion detection through webcam input.
Google AI/ML Virtual Internship
AICTE
June 1, 2026 – Present
Data Science Virtual Experience Program
British Airways (Forage)
June 1, 2026 – Present
Cloud Foundations (Training Badge)
AWS Academy Graduate
June 1, 2026 – Present
Zero Trust Associate (ZTCA)
Zscaler
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI and its practical applications, aligning well with an AI Engineer role. The diversity of projects (facial recognition, AI gaming, AI assistant) shows a broad curiosity and willingness to explore different facets of AI. Participation in virtual internships and certifications indicates a proactive learning attitude. The academic achievement (1st prize in 'Brain in Gaming') suggests a competitive spirit and ability to deliver high-quality work. The candidate's profile suggests a good cultural fit for an innovative and technically driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, from deep learning models to full-stack applications. The 'Brain in Gaming' project, which won an award, suggests teamwork and problem-solving skills. The focus on 'clean modular design' and 'optimizing system performance' in personal projects indicates attention to detail and a results-oriented approach. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.