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AI Engineer with less than a year in Deep Learning & NLP
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 & ML engineering student with a 9.28 CGPA, specializing in Machine Learning and Deep Learning with hands-on experience across 5+ end-to-end projects. Skilled in designing CNN and LSTM-based models, building NLP pipelines, and deploying intelligent applications using Django and FastAPI. Passionate about building real-world AI products and targeting a career as an ML/AI Engineer at a product-driven company.
MRSPTU
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Lord Rama Public School
12th Grade · Science & Mathematics
N/A – Present
Different Convent School
10th Grade
N/A – Present
Dog vs Cat Classification
January 1, 2026 – Present
Trained a CNN on large image datasets using transfer learning and data augmentation to classify dogs vs cats accurately. Deployed the model as a FastAPI REST API enabling real-time image upload and classification via HTTP endpoints.
College Management System
January 1, 2026 – Present
Designed a full-featured JavaFX GUI with CRUD, secure login, and advanced search for student and faculty records. Implemented role-based navigation, form validation, and real-time feedback for a smooth user experience. Connected to Oracle DB via JDBC for persistent, reliable data storage, retrieval, and record management.
Disease Prediction System
January 1, 2026 – Present
Trained Logistic Regression, KNN, and SVM classifiers with full preprocessing - scaling, encoding, and missing value handling. Evaluated models using accuracy scores, confusion matrices, and cross-validation to select the best-performing classifier. Integrated predictions into Django for real-time risk labels with probability scores per health condition.
AI Voice & Video Translation App
January 1, 2026 – Present
Built a full-pipeline app accepting audio/video inputs and translating speech across multiple languages in real time. Integrated ASR, neural machine translation (NMT), and text-to-speech (TTS) for seamless end-to-end translation. Exposed a high-performance FastAPI REST endpoint handling concurrent translation requests with low latency.
AI & Machine Learning
Alpha IT Managed Services, Mohali
January 1, 2026 – Present
Core Java
Tech Hub Institute, Bathinda
August 1, 2025 – Present
Machine Learning Using Python
Tech Hub Institute, Bathinda
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong alignment with an AI Engineer role, covering diverse areas like voice/video translation, image classification, and disease prediction. Their involvement in a College Coding Club and peer mentoring indicates a proactive, collaborative, and leadership-oriented mindset, which generally contributes positively to cultural fit. The breadth of technical skills, from core programming to web development and database management, suggests adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, a quick learning ability, and self-motivation through independent project completion. Their experience as a Coding Club Coordinator and Peer Mentor suggests good team collaboration and communication skills, which are valuable for operational fit. Attention to detail is also noted, crucial for model accuracy and clean code.