AI/ML Engineer Resume – Generative AI- LLM- RAG  AWS Certified  Full-Stack AI

AI/ML Engineer Resume – Generative AI- LLM- RAG  AWS Certified  Full-Stack AI

An AI-focused engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. Combines deep learning expertise with full-stack development skills to build end-to-end AI applications. AWS Certified with proven ability to deploy scalable AI solutions.

Core Competencies:

Languages: Python, JavaScript, SQL

AI/ML: Generative AI, LLM, RAG, AI Agents, Machine Learning, Deep Learning, NLP, Data Analysis

Frameworks: LangChain, LangGraph, TensorFlow, PyTorch, React.js, FastAPI, Streamlit, Gradio

Libraries: Pandas, NumPy, Hugging Face Transformers, Scikit-learn, Matplotlib, Seaborn, OpenCV

Databases: MySQL, MongoDB, ChromaDB, Qdrant, Pinecone

AWS Services: SageMaker, Bedrock, EC2, Lambda, ECS, IAM, S3, RDS, DynamoDB, OpenSearch, CloudWatch, VPC

Others: Git, GitHub, Docker, CI/CD, API Development, Vercel, Render, Netlify

Certifications:

• AWS Certified AI Practitioner (Foundational)

• AWS Certified Cloud Practitioner (Foundational)

• AWS Certified Machine Learning Engineer Associate

• NPTEL Database Management System Certificate

Key Projects:

AI-Powered Resume Optimizer – OptiCV

• Designed and deployed a full-stack AI application that analyzes and rewrites resumes to improve ATS scores

• Developed React.js frontend with file upload and result preview

• Integrated FastAPI backend for efficient asynchronous processing

• Implemented dual LLM usage (one for rewriting, one for feedback) achieving up to 40% higher ATS scores

• Used KeyBERT and transformer-based models for contextual keyword extraction

• Achieved 90%+ semantic similarity between rewritten resumes and job descriptions

DriveXpert AI – Car Customer Support System

• Developed AI-driven customer support using RAG for car assistance

• Implemented RAG pipeline with Ollama (LLaMA 3.2) retrieving answers from 10+ car model manuals

• Integrated Qdrant vector database for high-performance semantic search

• Built FastAPI backend with interactive Gradio frontend for real-time AI responses

Internship Experience:

AI & Data Science Intern

• Applied AI/ML, Generative AI, and RAG to real-world projects including Hybrid Search Engine and Video Subtitle Generator

• Authored 50+ technical articles on Generative AI, AWS AI services, and LLM applications

• Explored LLM fine-tuning, vector databases, and RAG to enhance model accuracy

Full-Stack (MERN) Intern

• Hands-on experience with JavaScript, React.js, MongoDB, Express.js, Node.js

• Built and optimized React components improving UI performance

• Experienced in state management, React Hooks, and responsive design

Ideal For:

• Full-time AI/ML Engineer roles

• Generative AI / LLM / RAG specialist positions

• AI product development and deployment

• AWS AI services implementation

• Remote or Pune-based opportunities

• Important Notice

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  • Any misuse, fraud, spam, illegal activity, or unauthorized distribution is strictly prohibited.
  • Digital product only. No physical item will be shipped.