Sanskar Suryavanshi

B.Tech IT student · AI/ML and Generative AI Enthusiast

Bhopal, Madhya Pradesh, India

@sanskar_suryavanshi

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🎓 Bachelor of Technology (B.Tech) in Information Technology at Bansal Institute of Science and Technology · Graduating 2028

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About

B.Tech student in Information Technology with hands-on experience in machine learning, computer vision, Generative AI, and RAG systems. Has built end-to-end technical solutions using Python, LangChain, Hugging Face, and related ML tools, including a hackathon-winning project.

Experience

AI/ML Intern

Codec Technologies

— – Present

Developed and optimized machine learning models for real-world problem statements. Built automated data preprocessing, feature engineering, and model evaluation pipelines using Python and scikit-learn. Analyzed evaluation metrics to improve model accuracy and prediction consistency.
Python Programming Intern

CodeAlpha

— – Present

Developed Python-based automation workflows, utility scripts, and modular software components. Implemented core data structures and algorithms for efficient execution and bug fixing. Maintained code quality and collaborative version control workflows using Git and GitHub.
Web Development Intern

Enamigos

— – Present

Developed responsive web pages and clean user interfaces using HTML, CSS, and JavaScript. Integrated backend functionality and RESTful APIs for reliable data exchange. Tested and optimized web pages for cross-browser compatibility and loading performance.

Education

Bachelor of Technology (B.Tech)

Bansal Institute of Science and Technology

Information Technology

Information Technology

Skills

<3 months

C SQL CSS RAG HTML NumPy Flask Python Pandas OpenCV PyTorch LangChain JavaScript TensorFlow scikit-learn Computer Vision Vector Databases Prompt Engineering Predictive Modeling API Integration Understanding

Tools / apps / platforms

<3 months

Git Docker GitHub Pinecone PostgreSQL Hugging Face Transformers

Projects

End-to-End AI Solution Deployment

Python, Git, REST API, Cloud Tools

Designed and deployed a complete machine learning service from data preprocessing to model serving. Managed the full project workflow including Git version control, endpoint testing, and API integration.
Predictive Modeling with Machine Learning

Python, scikit-learn, Pandas

Built classification and regression models on real-world datasets for structured data prediction and analysis. Performed data cleaning, feature engineering, and cross-validation to evaluate and improve model accuracy.
RAG-Based Document Q&A Application

Python, LangChain, Hugging Face, FAISS

Retrieval-Augmented Generation application to answer user queries from custom documents accurately. Implemented text chunking, embedding generation, and vector search pipelines to retrieve relevant context.
AI Underwater Marine Debris Detection System

Python, OpenCV, Deep Learning

Automated computer vision pipeline to detect, classify, and track marine debris in underwater environments. Used image enhancement techniques and trained object detection models for low-visibility aquatic imagery. Hackathon-winning end-to-end solution for ocean waste monitoring.

Courses & certifications

Career Essentials in Generative AI · Microsoft
Intro to Deep Learning · Kaggle
Intro to Machine Learning · Kaggle

🏆 Achievements & awards

Hackathon Winner

Won the competition by developing the AI Underwater Marine Debris Detection System; competed in 2 additional hackathons.

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