RAG Engineer for Legal AI

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@ludiac

Hello there, I’m a senior AI engineer with hands-on experience shipping production-grade RAG systems, including legal and compliance corpora. I can design and implement your end-to-end RAG stack—from robust ingestion of Indian Supreme/High Court judgments (PDF, HTML, scanned OCR) to hybrid retrieval (BM25 + vectors), reranking, and grounded generation with inline paragraph-level citations. I focus heavily on hallucination control, automated evals, and low-latency APIs. I’m confident meeting your accuracy, citation, and <3s latency targets and can scale this cleanly for enterprise SaaS use. Links my RAG project. https://www.freelancer.com/projects/php/Sharepoint-RAG-SQL-GPT-agent/details Thanks.

@amirrmusavifr

Hi, I'm an experienced Python developer with the necessary skills to complete your project. I already worked on NLP project topics including skill sets: • Proficiency in Machine Learning techniques, deep networks (CNN, RNN, LSTM, GRU, Attention Mechanism), • Experience with Chatbot, Question Answering, Sentiment Classification, Named Entity Recognition (NER), Part of Speech (POS) tagging, Lemmatization, Text Similarity, Machine Translation etc. • Fine-tune ChatGPT, GPT (2, 3, 3.5turbo), LLM, BERT, Gemini, Llama, … based on the specific requirements and functionalities. • Experience training or adjusting LLMs (Hugging Face, DeepSpeed). • Strong programming skills, preferably in Python and relevant libraries like Pytorch, TensorFlow, scikit-learn, NumPy, Pandas, NLTK, spaCy, etc. which my skillset allows me to handle large datasets I believe I am the perfect fit for this project. With my skill set, you can be sure that you will receive high-quality results. If you're interested in hearing more about how I could help you, please don't hesitate to reach out! I can provide the requirements with minimum time and cost.

@Wizztron

I recently delivered a project with this exact scope, focusing on building scalable, user-friendly RAG systems that provide clean, professional, and seamless retrieval and generation of information with integrated citations. I understand the need to ingest diverse legal documents, implement a hybrid retrieval layer, and automate evaluation to minimize hallucination while ensuring automated, authoritative answers with low latency. My skills include designing end-to-end ingestion pipelines, elastic search and vector store architectures, and embedding citations in generated text. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, MN Williams

@milosm45

Hello Mate!Greetings , Good morning! I am an expert mobile programmer with skills including Legal Research, API Development, Legal, Natural Language Processing, Patents, Data Processing, UML Design, Data Management, Data Science and Machine Learning (ML). Please contact me to discuss more regarding this project. Eager to hear your feedback

@n2rtechnologies

Hello, I understand that you're building a robust Legal AI SaaS platform aimed at delivering reliable, region-specific answers. My experience in developing enterprise-grade applications positions me well to contribute effectively to your project. I can help ensure that your platform not only meets but exceeds expectations in terms of accuracy and user experience. I have a proven track record in creating scalable solutions tailored to specific user needs, which includes working with complex data sets and ensuring compliance with legal standards. I will focus on delivering a seamless integration of the AI components, ensuring they are responsive and effective in addressing the nuances of legal queries. Looking forward to the opportunity to collaborate on this innovative project. Regards, Nurul Hasan

@sathishd58

Am ok with ur bid. u can reach me via gmail over their. . thank you. Am a. Experienced data scientist

@guptagagan824

I am a keen and passionate technologist on a mission to empower businesses by unlocking insights from data using cutting-edge AI/ML methodologies. With a rich blend of engineering, research, and product experience, I thrive at the intersection of innovation and impact—transforming raw data into meaningful strategies that drive growth. Core Expertise: - Languages & Frameworks | Python (data science, data engineering, web development, Generative AI) - Machine Learning | Supervised, Unsupervised & Semi-Supervised learning - Deep Learning Architectures | CNN, RNN, LSTM, ANN - Computer Vision | Object Detection, Image Segmentation, Preprocessing, Activity Recognition - Natural Language Processing (NLP) | Tokenization, Tf-IDF, Count Vectorizer, Word2Vec, Transformers - Generative AI + Agentic AI | Large Language Models (Text & MultiModal), RAG (Vanilla & Advanced), A2A, MCP - Time Series Forecasting | ARIMA, SARIMA, LNN - Big Data & Engineering | PySpark, Hadoop - Data/Text Preprocessing | Stemming, Lemmatization, Feature Engineering/Selection, Data Wrangling - Visualization & BI Tools | Matplotlib, Seaborn, Plotly, MS Power BI - Cloud Ecosystems | Microsoft Azure, Google Cloud Platform - Databases | SQL, NoSQL Let’s connect and collaborate to build intelligent solutions that make a difference!

@uskcse8

I’m a Senior AI/ML Engineer with hands-on experience shipping production RAG systems where accuracy, grounding, and latency matter. I’ve built large-scale retrieval, ranking, and evaluation pipelines on cloud infrastructure and recently delivered enterprise AI systems using **Gemini, vector search, hybrid retrieval, and human-in-the-loop evaluation**. For this project, I will design and implement the **end-to-end legal RAG stack**: multi-format judgment ingestion (PDF/HTML/OCR), metadata-rich chunking, hybrid retrieval (vector + keyword), reranking for factual precision, and **citation-grounded generation with paragraph/page-level references**. I’ll also set up automated evaluation to track citation accuracy, hallucination rate, and latency from day one. My recent work includes optimizing embeddings and retrieval using **Vertex AI Search (Vector DB)**, building scalable ingestion pipelines, and creating evaluation frameworks that directly translate to your 90% citation accuracy and <5% hallucination targets. I focus on **production readiness**, not demos—clean APIs, measurable quality, and sub-3s response times. If you want a senior engineer who can **own the RAG architecture end to end and deliver results fast**, let’s talk.

@Chrisvarghese200

i have the backend skeleton ready for your project it you are ready i can also give u a quick demo and my system can connect and start working with validation in just a few seconds. i might be new to this website but not new to the domain and field u can trust on me.

@suryas055

Hello, I’ve built and shipped production-grade RAG systems where accuracy, grounding, and citations were non-negotiable, so your Legal AI use-case immediately resonates with me. You’re not looking for a generic chatbot — you’re building a trustworthy legal intelligence system, and that requires careful design across ingestion, retrieval, reranking, and citation-aware generation. That’s exactly where my experience sits.