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AI Engineer with less than a year in AI/ML & 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
AI/ML Engineer and Full Stack Developer skilled in Machine Learning, Deep Learning, NLP, Generative AI, MERN Stack, and Cloud Deployment. Experienced in building AI-powered applications using Python, PyTorch, TensorFlow, React.js, Node.js, MongoDB, and AWS with strong knowledge of predictive analytics, healthcare AI, transformer models, scalable web systems, and data-driven applications.
Noida Institute of Engineering and Technology
B.Tech · Artificial Intelligence
August 1, 2021 – June 30, 2025
The Sparks Foundation
Full Stack AI Intern
January 1, 2024 – April 1, 2024
India
Financial News Sentiment Prediction using BERT
January 1, 2025 – January 1, 2025
Built transformer-based financial sentiment analysis system using BERT and FinBERT models for market sentiment classification. Implemented NLP preprocessing, tokenization, and classification pipelines using PyTorch and Scikit-learn.
Bank Term Deposit Predictor
January 1, 2025 – January 1, 2025
Developed machine learning models using Logistic Regression and Random Forest algorithms for customer subscription prediction.
E-Learning Platform
January 1, 2025 – January 1, 2025
Built scalable MERN-based E-Learning platform featuring JWT authentication, Razorpay payment integration, course management, and responsive UI for seamless learning experience.
Medical Appointment No-Show Prediction
January 1, 2025 – January 1, 2025
Built predictive healthcare analytics system using classification models to identify high-risk patient no-shows and improve scheduling efficiency.
Telangana PDS Analytics Dashboard
January 1, 2025 – January 1, 2025
Developed analytics dashboard with EDA, preprocessing, SQL analysis, and interactive data visualization for public distribution insights.
Waste Detection Using YOLOv5
January 1, 2025 – January 1, 2025
Engineered real-time waste detection system using YOLOv5 achieving 92% precision on 6,000+ annotated images with AWS-based deployment support.
AIML Program Certificate
GUVI
June 1, 2026 – Present
Machine Learning Specialization
Coursera
June 1, 2026 – Present
Full Stack Development Certificate
Apna College
June 1, 2026 – Present
Introduction to Generative AI
upGrad
June 1, 2026 – Present
Generative AI - A Way of Life
Analytics Vidhya
June 1, 2026 – Present
Machine Learning (Python)
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a breadth of interests across AI/ML and full-stack development. The diversity of projects (healthcare, finance, waste detection, e-learning) indicates adaptability and a willingness to tackle different problem domains. The 'Full Stack AI Intern' role aligns well with a target AI Engineer role that often requires deployment and integration skills. However, the experience level is very low, which might impact immediate cultural integration into a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to collaborate (e.g., 'Collaborated on AWS deployment') and a focus on improving efficiency and stability, which are positive indicators for operational fit. However, without direct behavioral assessment, soft skills cannot be fully evaluated.