Aajad Choudhary
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Gujarat, India
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Full-time jobs
Résumé
Jobs
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- OGen AI EngineerOris HubFeb 2026 - Current (5 months)• Developed LLM-powered AI assistants using Python, FastAPI, and LangGraph. • Implemented speech-to-text and text-to-speech pipelines using Whisper and Coqui TTS. • Built multilingual conversational AI systems with real-time processing. • Designed RAG-based AI workflows with vector databases for contextual responses. • Integrated Kafka-based streaming pipelines for real-time AI data processing. • Deployed scalable AI services using Docker, Kubernetes, and cloud infrastructure
- TGen AI EngineerTUF Tech TechnologyDec 2025 - Current (7 months)• Built Generative AI applications using LLMs for automated workflows and intelligent assistants. • Developed RAG-based systems integrating vector databases for contextual responses. • Designed and deployed AI APIs using Python, FastAPI, and LangChain/LangGraph. • Implemented prompt engineering and LLM evaluation for improving response quality. • Deployed AI solutions using Docker, cloud services, and CI/CD pipelines.
AI EngineerCelebal TechnologiesMay 2025 - Nov 2025 (7 months)• Developed and deployed AI and machine learning solutions including predictive models and Generative AI systems across end-to-end ML pipelines covering data preprocessing, EDA, feature engineering, model training, evaluation. • Designed and developed RESTful APIs using FastAPI and Flask for real-time ML model inference and AI powered applications. • Implemented MLOps pipelines using Docker, Kubernetes (AKS), Azure Container Registry, and CI/CD, deploying containerized APIs and reducing deployment time by approximately 70%. • Collaborated with cross-functional teams to deliver scalable AI/ML applications improving system performance and reliability.
Education
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- Bachelor of Technology in Computer Science and EngineeringParul UniversityJan 2022 - Jan 2026 (4 years 1 month)
Projects (professional or personal)
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- RAG-Based Chatbot with Memory ManagementPersonal ProjectJan 2025• Built an AI-powered Retrieval-Augmented Generation (RAG) chatbot with long-term memory and session persistence using SQL for contextual conversation handling. • Designed and developed RESTful APIs using FastAPI to process user queries, manage document ingestion/uploads, and generate AI-driven responses from a dynamic knowledge base. • Implemented encoder-decoder reranking techniques and integrated the Gemini API to improve response relevance and conversational accuracy by approximately 30–40%.
- Fraud Detection SystemPersonal ProjectJan 2025• I Developed a Fraud Detection System using Machine Learning models to identify suspicious financial transactions from large datasets (Big Data). • Performed data preprocessing, feature engineering, and model evaluation to improve fraud detection accuracy 90%.
- AI-Powered Conversational AssistantPersonal ProjectJan 2025• Developed an AI-powered conversational assistant using NLP and Generative AI to understand user queries and generate accurate, context-aware responses. • Implemented intent classification, text preprocessing pipelines, and LLM-based response generation for automated customer support and intelligent Q&A systems.
- Image Captioning SystemPersonal ProjectJan 2025• Designed a deep learning model to generate descriptive captions for images using CNN and LSTM. • Trained and evaluated the model on standard datasets to combine vision and language understanding.