AI & ML Engineer

Siddhant Gite

Nashik, Maharashtra

+91-705******* # ***************@*****.*** ï LINKEDIN § GITHUB

SUMMARY

AI & Data Science undergraduate with strong foundations in machine learning and data analytics, complemented by practical software development experience. Passionate about building intelligent, data-driven solutions to solve real-world problems. EXPERIENCE

AI & Data Science Intern – Bosch Limited Jan 2026 – Present

• Designed and deployed a predictive ML pipeline to forecast fuel injector failures using 500,000+ industrial records.

• Engineered features and handled class imbalance through resampling strategies and threshold optimization.

• Implemented Logistic Regression and Gradient Boosting models, achieving F1-score: 0.75, Balanced Accuracy: 0.70, and Recall: 0.66.

• Exposed trained ML models as REST APIs using Flask for real-time inference and integration. Tech Stack: Python, Pandas, NumPy, Scikit-learn, Joblib, XGBoost, Matplotlib, Flask PROJECTS

LLM-Powered RAG Document Assistant February 2026

• Built a Retrieval-Augmented Generation (RAG) system using OpenAI embeddings and FAISS vector store for context-aware question answering.

• Implemented document chunking, semantic search, and similarity-based retrieval pipeline.

• Integrated OpenAI GPT API for response generation with reduced hallucination using retrieved context. Tech Stack: Python, LangChain, OpenAI API, FAISS, Streamlit AI-Driven Business Intelligence Model for Strategic Decision-Making October 2025

• Developed an AI-powered BI platform converting CSV business data into role-based interactive dashboards with real-time insights and forecasting.

• Integrated ML models with TimeRAG and dynamic pricing algorithms, achieved 91–94% accuracy and response time under 5 seconds.

• Enabled natural-language querying using LangChain to generate automated summaries and cost optimization insights. Tech Stack: Python, Streamlit, Plotly, LangChain, Pandas, NumPy, TimeRAG TECHNICAL SKILLS

Programming Languages: Python, C++, C, SQL

Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Plotly, LangChain, XGBoost, Streamlit, Joblib, Flask, PyTorch

Data Science & Machine Learning : Exploratory Data Analysis (EDA), Feature Engineering, Supervised & Unsupervised Learning, LLM Applications, HuggingFace Transformers, RAG Pipelines, Embedding-based Search, OpenAI API, FAISS, Prompt Engineering

Mathematics for ML: Statistics, Probability, Linear Algebra Tools & Deployment: Git, Github, Docker, Power BI, Excel Databases: MySQL

EDUCATION

K.K. Wagh Institute of Engineering Education and Research, Nashik 2022 – 2026 B.Tech – Artificial Intelligence & Data Science CGPA: 8.2 K.T.H.M College, Nashik 2020 – 2022

Class XII – HSC Science (Computer Science) Percentage: 72.50 Maratha High School, Nashik 2019 – 2020

Class X – SSC Percentage: 93.40

CERTIFICATIONS

• Data Analytics Virtual Experience – Deloitte Australia

• Master Data Management – TCS iON

• Python & C++ – Udemy

EXTRACURRICULAR

District - Level Cricket Player Volunteer - Swapnapurti Foundation

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