Rajkumar Gajera

Rajkumar Gajera Rajkumar Gajera Github Linkedin Junagadh, Gujarat Data Scientist specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Machine Learning. Skilled in LangChain, fine-tuning, hybrid retrieval, and deployment pipelines. Experienced in developing scalable AI-driven healthcare and e-commerce applications with a focus on accuracy, efficiency, and production-grade deployment. SKILLS Language: C, C++, JAVA, Python. Web Development: HTML,CSS,JAVASCRIPT(Reactjs) Backend Technologies: MySQL,Firebase,Django. Operating System: Windows, Ubuntu AI/ML: LLMs, RAG, LangChain, HuggingFace Transformers, Fine-tuning, XGBoost, K-means, Ensemble Models Plateform:: VScode,AWS,Colab,Git-Github EDUCATION Nirma University, Master Degree Masters of Technology in Computer Science and Engineering Aug 2023 – May 2025 Ahmedabad, India Charusat University(CSPIT), Bachelor Degree Bachelor Of Engineering in Information Technology Jun 2019 – Apr 2023 Anand, India PROJECTS Healthcare Recommendation Chatbot, Python, LangChain, FAISS, ChromaDB, Chainlit, Ollama Built a LangChain-powered RAG chatbot to analyze medical PDFs and provide personalized recommendations. Implemented fine-tuning of LLMs, hybrid retrieval (BM25 + dense embeddings), query rewriting, reranking, and streaming response generation. Integrated FAISS & ChromaDB for semantic search, DuckDuckGo API for online enrichment. Achieved 80% accuracy across 200+ evaluated queries; deployed with session tracking and multi-model comparison. • • • • Breast Cancer Classification (CAD System), Python, Inception-ResNet-v2, XGBoost, CatBoost, LightGBM Developed a CAD system for histopathological images using deep learning and ensemble models. Achieved 96.14% accuracy and 97.33% F1-score on the BreakHis dataset across 4 magnification levels. Designed to support early detection and clinical decision-making. • • • Disease Identifier by Pathology Reports, Java, Firebase, Android Studio Created an OCR-powered Android app to scan pathology reports and identify probable diseases based on clinical thresholds. • EXPERIENCE OneAll Digital, Application Developer Developed the Nizara Android e-commerce app using Android Studio and Java for the frontend and PHP for the backend.Enhanced skills in mobile app development and gained exposure to e-commerce applications. May 2022 – Jul 2022 Assam, India Crown Software, Android Developer Developed the MyEarn11 Android app for fantasy sports using Android Studio and Java, with Firebase for the backend. Enhanced skills in mobile app development and backend integration. Jun 2021 – Jul 2021 Gujarat, India • • CERTIFICATES LANGUAGES AWS Certified Cloud Practitioner English | Hindi | Gujarati Python Data Structures Begining SQL Server Java Programming: Solving Problems with Software AWS Solution Architect (Ongoing) IBM Training Program