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AI & Machine Learning Engineer building high-performance models and scalable backend architectures. Specializing in Deep Learning NLP systems, feature engineering, and robust REST APIs.
AI/ML Engineer crafting intelligent systems that drive real-world impact
Third-year B.Tech student specializing in AI & Machine Learning at Maharishi Markandeshwar University. Proven track record delivering 95.8% accuracy ML models, architecting 30+ REST APIs, and deploying intelligent solutions across healthcare, fintech, and enterprise domains.
Production-grade models with XGBoost, LightGBM, TensorFlow. Expert in feature engineering, hyperparameter tuning, and model interpretability (SHAP/LIME).
Scalable Flask/Django APIs with SQLAlchemy ORM. Designed 30+ RESTful endpoints with authentication, rate limiting, and comprehensive documentation.
Advanced data pipelines using Pandas, NumPy. Proficient in MySQL, MongoDB, Firebase with optimized query design and schema architecture.
B.Tech CSE (AI & ML)
Top PerformerDiploma in CSE
DistinctionLeetCode DSA
ActiveML Model Performance
ProductionNIELIT Patna
2025 • 4 WeeksKVCH Pvt Ltd
2023 • 6 WeeksICE Technology Lab
2022 • 4 WeeksOpen to collaborations, internships, and full-time opportunities in AI/ML Engineering
Production-ready platforms and data solutions built to address real-world challenges
Intelligent platforms leveraging deep learning models, natural language processing, and predictive diagnostics.
AI Resume Analysis Engine integrated with Google Gemini AI for automated ATS score prediction and feedback tuning.
Text pipeline parsing conversation exports for messaging heatmaps, user frequency analysis, and VADER sentiment trends.
Voice-activated automation assistant running local threads for custom OS commands, search triggers, and speech parsing.
Automated Exploratory Data Analysis (EDA) dashboard constructing Plotly heatmaps and statistical profiles dynamically.
Machine learning triage platform mapping patient symptom vectors to primary clinical conditions for routing advice.
Real estate value forecast engine utilizing XGBoost regression pipelines with advanced L2 feature regularization.
Robust web applications built with modern frontend frameworks and relational/non-relational database services.
Modern dark glassmorphic engineering portfolio. Asynchronous dynamic component load configuration for load optimization.
An advanced calculator application offering multiple functionalities and a highly responsive design for quick computations.
Next-Gen Healthcare AI platform providing intelligent diabetes risk prediction utilizing robust machine learning models.
An intelligent agricultural management system utilizing machine learning for predictive crop analytics and farming efficiency.
Responsive location weather forecast tracker calling OpenWeather APIs to render multi-day chart trends.
An intuitive language translation application bridging communication gaps with real-time text processing.
Real-time statistics, repository breakdown, and recent activity from GitHub
May 2025 - June 2025 (4 Weeks)
Worked on practical ML workflows, model development, preprocessing pipelines, and AI-based problem-solving methodologies during intensive internship training. Gained hands-on experience with real-world datasets, feature engineering techniques, and production ML systems deployment. Developed expertise in supervised and unsupervised learning algorithms.
Nov 2023 - Dec 2023 (6 Weeks)
Completed comprehensive Java industrial training focusing on core Java concepts, object-oriented programming principles, data structures, and design patterns. Developed multiple Java applications implementing OOP concepts, exception handling, and multithreading. Gained practical experience in building scalable enterprise applications.
Dec 2022 - Jan 2023 (4 Weeks)
Designed and developed responsive web interfaces using HTML5, CSS3, JavaScript, and Bootstrap. Created user-friendly, mobile-responsive websites with modern UI/UX principles. Collaborated with the development team to implement frontend features and optimize website performance for better user experience.
Mastering the tools that power intelligent systems — from deep learning frameworks to cloud-native infrastructure
Deep learning models, CNNs, RNNs, and custom training loops.
Dynamic neural network architectures and model fine-tuning.
Supervised & unsupervised ML algorithms, data pipelines.
Prompt engineering, RAG pipelines, Gemini & OpenAI APIs.
VADER sentiment analysis, text preprocessing, frequency heatmaps.
Image transformations, contour detection, OpenCV pipelines.
Microservices, RESTful API design, lightweight backends.
High-performance async backends with automatic API docs.
MVC architecture with robust ORM and database managers.
Event-driven services, middleware routing, and integrations.
Relational schema design, normalization, and complex queries.
NoSQL document models, dynamic scaling, cloud data storage.
Dynamic single-page apps, hook patterns, component libraries.
Utility-first responsive styling and custom design systems.
DOM scripting, promise chains, async event-driven architecture.
Semantic web, responsive grids, keyframe animations, transitions.
Rapid grid layouts, UI components, cross-browser compatibility.
Plotly, Chart.js, Streamlit & Dash interactive dashboards.
Containerization, multi-stage builds, deployment pipelines.
Branching strategies, GitHub Actions, repository management.
EC2 compute, S3 storage buckets, Lambda, hosting services.
OOP, Data Structures, Algorithms, and SQL/DBMS fundamentals.
DataFrame wrangling, matrix computation, exploratory analysis.
API testing collections, debugging tools, and local setups.
22+ Professional certifications from leading industry and academic institutions
Let's collaborate on cutting-edge AI/ML projects and create something extraordinary
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Open to exciting opportunities