Resume of AI/LLM Engineer - Resume Example & Template

Resume of Resume of AI/LLM Engineer in Text Format

RISHABH JAIN

Phone: 9953776253 | Email: info@getsetresumes.com| LinkedIn: linkedin.com/company/getsetresumes

AI/LLM Specialist - leveraging 3+ years of experience

AI/LLM Specialist with experience designing, fine-tuning, and deploying GenAI solutions that automate workflows, reduce manual effort, and improve accuracy using RAG pipelines, embeddings, and model customization. Skilled in integrating LLMs into enterprise systems, building NLP workflows, and optimizing model performance.

PROFILE SUMMARY

• 3+ years of hands-on experience in NLP, LLMs, and machine learning.
• Built and deployed multiple RAG-based chatbots for internal knowledge retrieval.
• Expertise in prompt engineering, model evaluation, and accuracy optimization.
• Experience fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) on custom datasets.
• Strong understanding of vector databases and semantic search systems.
• Skilled in building AI automations that reduce manual effort by 40–60%.
• Proficient in end-to-end ML pipeline development and deployment on cloud platforms.
• Cross-functional collaboration with product, engineering, and data teams.

CORE COMPETENCIES

• Generative AI Integration
• Retrieval Augmented Generation (RAG)
• Prompt Engineering
• NLP Model Development
• AI Automation & Optimization
• Model Evaluation & Benchmarking
• Feature Engineering
• AI-driven Product Development

TECHNICAL SKILLS

• Languages: Python, SQL
• Frameworks: PyTorch, TensorFlow, Transformers, LangChain
• LLMs: GPT-4/4o, LLaMA, Mistral, Claude
• Databases: Pinecone, Weaviate, FAISS
• Cloud: AWS, GCP, Azure
• Tools: Docker, Git, Jupyter, FastAPI
• APIs: OpenAI, Azure OpenAI, HuggingFace

PROFESSIONAL EXPERIENCE

AI LLM Specialist

• Built LLM-powered assistants for internal teams, reducing manual workload by 60%.
• Designed RAG workflows using embeddings + vector databases to reduce hallucinations.
• Fine-tuned open-source models for domain-specific Q&A tasks, improving accuracy by 30%.
• Developed custom prompt templates and automated evaluation frameworks.
• §Integrated LLMs into client-facing applications using LangChain and FastAPI.
• Set up model monitoring dashboards to track performance metrics and error rates.

New AI Pvt Ltd, Pune | July 2021 -  Dec. 2024
Machine Learning Engineer / NLP Engineer

• Developed NLP models for classification, summarization, and text extraction.
• Created scalable ML pipelines and deployed them on AWS/GCP.
• Increased model accuracy through hyperparameter tuning and advanced preprocessing.
• Implemented automated data labeling using semi-supervised learning.
• Worked with product teams to embed NLP features into live application

INTERNSHIPS

AI Foundry Labs — Remote | Jan 2021 – May 2021
NLP/ML Intern

• Implemented text classification and summarization models using HuggingFace.
• Built end-to-end preprocessing pipelines for large unstructured datasets.
• Assisted in training and evaluating BERT-based models for sentiment analysis.

Insight Analytics Pvt. Ltd. — Mumbai, India| Jun 2019 – Dec 2019

Data Science Intern

• Performed exploratory data analysis and feature engineering for ML projects.
• Created basic predictive models using Python, Scikit-Learn, and Pandas.
• Automated reporting dashboards that reduced analyst workload by 30%.

ACADEMIC CREDENTIALS

EDUCATION:

 B.Tech in Computer Science, MIT World Peace University, Pune, Jul 2017 - Apr 2021

CERTIFICATIONS

• DeepLearning.AI: Generative AI with LLMs
• Coursera:  Applied NLP with Hugging Face
• AWS / GCP: Machine Learning Engineer Certification

PERSONAL DOSSIER

Languages Known- English, and Hindi