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Shrey Shukla

@shreyshukla

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Computer Engineering student skilled in ML, backend development, and building LLM-powered AI systems.

India

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What I'm looking for

I seek roles building and deploying ML/AI systems—especially RAG, agentic automation, and backend ML services—in collaborative, impact-driven teams.

I am a motivated Computer Engineering student from ADIT with strong foundations in Java, Python, and machine learning, and practical experience deploying end-to-end AI systems. I focus on backend development and data-driven applications, with hands-on work in RAG, prompt engineering, and agentic AI workflows.

I have built production-focused projects including a RAG-based knowledge base using FAISS and open-source LLMs, an agentic AI lead-generation automation using n8n and Google Gemini, and a livestock disease prediction platform that reached the Smart India Hackathon grand final. I prioritize low-latency pipelines, controlled prompt design, and robust data preprocessing.

I bring demonstrated competitive success (Smart India Hackathon grand finalist and multiple hackathon placements) and a practical mindset toward deploying models and automation tools using Streamlit, Flask/FastAPI, vector databases, and common ML libraries. I seek opportunities to apply ML and AI skills to real-world problems and scale intelligent systems.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

BrainyBeam InfoTech Pvt. Ltd.

May 2025 - Jun 2025 (1 month)

Developed a California housing price prediction system using Linear Regression, Decision Tree, Random Forest, and XGBoost; improved model performance via data preprocessing, stratified sampling, and hyperparameter tuning with RandomizedSearchCV and Optuna.

Python scikit learn Pandas NumPy XGBoost Hyperparameter Tuning RandomizedSearchCV Optuna data preprocessing

Education

Degrees, certifications, and relevant coursework

A.D. Patel Institute of Technology (ADIT)

Bachelor of Technology, Computer Engineering

2022 -

Grade: 8.5 / 10

Activities and societies: Participated in national hackathons (Smart India Hackathon 2024 grand finalist), developed RAG systems, ML projects, and AI automation workflows.

Pursuing a Bachelor of Technology in Computer Engineering with focus on machine learning, backend development, and AI system deployment; achieved a CGPA of 8.5/10.