AI/ML Engineer (RAG & FastAPI) - Resume

SHREYANSH GUPTA

+91-738******* ******************@*****.*** LinkedIn Noida, UP

Summary

Computer Science (AI/ML) student and AI/ML Engineer with hands-on experience building and deploying Generative AI applications, including a Retrieval-Augmented Generation (RAG) system using Azure OpenAI, vector search, and embeddings. Proficient in Python, FastAPI, and REST API development, with production deployment experience on AWS and Azure using Docker.

Skills

Programming & Backend: Python, Java, FastAPI, REST APIs Generative AI / LLM: LangChain, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases

(Azure AI Search), Embeddings, Semantic Search, Azure OpenAI Machine Learning / Deep Learning: TensorFlow, Keras, CNN, OpenCV, NumPy, Pandas, Matplotlib Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Jenkins (CI/CD), Git/GitHub Databases: SQL

Data & Visualization: Excel, Power BI

Experience

AI Engineer Intern Oct 2025 – Dec 2025

TECHBLISS Digital Solution Private Limited Noida, India

• Gained hands-on experience in practical AI and machine learning, working on real-world problem solving.

- Enhanced skills in model development, evaluation, optimization and strengthened technical Front-End Developer Intern Jul 2025 – Sept 2025

Abonics India Private Limited Gorakhpur, India

• Developed responsive web applications using WordPress, streamlining project workflows and improving delivery efficiency.

Projects

Retrieval-Augmented Generation (RAG) AI System Python, FastAPI, Docker Mar 2026 – Apr 2026

• Developed a RAG-based AI chatbot using FAISS and LLMs for semantic question answering from PDF documents.

• Implemented a RAG pipeline with document chunking, embeddings, vector indexing, and semantic retrieval.

• Integrated embedding models and LLMs with prompt engineering to generate accurate, context-aware responses.

• Built an interactive web application for document upload, real-time question answering, and intelligent information retrieval.

Ai-Powered Smart Farming Assistant Python, FastAPI, TensorFlow Jul 2025 – Sep 2025

• Developed an ML and CNN-based farming assistant for disease detection, crop recommendation, and weather prediction.

• Trained ML models on agricultural datasets for accurate farming predictions and recommendations.

• Built a web application for crop monitoring, smart recommendations, and real-time farm management.

• Integrated deep learning models for real-time predictions and agricultural decision support. Education

KIPM College of Engineering and Technology Aug 2022 – Jun 2026 B.Tech, Computer Science & Engineering (AI/ML) – CGPA: 7.5 Gorakhpur, India Naval's National Academy Mar 2021 – May 2022

Intermediate – Percentage: 68% – Academic Scholar, Best Student Gorakhpur, India Naval's National Academy Mar 2019 – Mar 2020

Secondary – Percentage: 64% – Academic Scholar Gorakhpur, India Certifications / Achievements

• IBM Data Science Certifications – Python, SQL, Linux (Coursera)

• Embedded Systems; OpenCV

• 2nd Position In Zonal Level Hackathon.

• 25+ Microsoft Learn badges and 5 trophies across AI, ML, NLP, Computer Vision, and Azure

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