You will get machine learning and data engineering projects & solutions
Project details
You will receive a comprehensive data engineering solution and robust machine learning backend development tailored to your unique needs. With a strong background in data engineering and a passion for generative AI, I specialize in creating scalable data pipelines and deploying machine learning models that drive meaningful insights and business growth.
What sets my work apart is my commitment to quality and detail. I leverage cutting-edge technologies and best practices to ensure your data is not only accessible but also actionable. My approach combines a deep understanding of data architecture with expertise in machine learning algorithms, ensuring that the solutions I provide are both efficient and effective.
I prioritize collaboration and clear communication, working closely with clients to understand their objectives and deliver solutions that exceed expectations. Whether you're looking to optimize existing data processes or develop new machine learning capabilities, my focus is on delivering high-quality, reliable solutions that empower your business.
What sets my work apart is my commitment to quality and detail. I leverage cutting-edge technologies and best practices to ensure your data is not only accessible but also actionable. My approach combines a deep understanding of data architecture with expertise in machine learning algorithms, ensuring that the solutions I provide are both efficient and effective.
I prioritize collaboration and clear communication, working closely with clients to understand their objectives and deliver solutions that exceed expectations. Whether you're looking to optimize existing data processes or develop new machine learning capabilities, my focus is on delivering high-quality, reliable solutions that empower your business.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, BERT, ChatGPT, Databricks Platform, Databricks MLflow, GoLearn, Google Data Studio, Google Sheets, GPT-3, MATLAB, Microsoft Power BI, NLTK, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 7 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 3
- Number of Graphs/Charts 4
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$50
Additional Revision
+$12
Additional Model Variation
(+ 2 Days)
+$15
Additional Scenario
(+ 2 Days)
+$10
Additional Graph/Chart
(+ 2 Days)
+$10
2 reviews
(1)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
ML
Maggie L.
Mar 20, 2026
Sr. Data Scientist, AI/ML Engineer (Women's Health App)
DE
Didi E.
Sep 2, 2025
Technical Review For AI Healthcare Project
About Sandhya Rani
Software Engineer | Medical AI | Data Scientist | AI & ML
85%
Job Success
Bengaluru, India - 9:45 pm local time
What I Do Best:
RAG Systems & Vector Search - I architect hybrid search engines combining BM25 and dense vector retrieval at billion-record scale. Expert in OpenSearch, Elasticsearch, FAISS, HNSW algorithms, and comprehensive RAG evaluation using DeepEval and RAGAS metrics.
Multi-Agent Orchestration - I build complex AI workflows using LangGraph, LangChain, and LiteLLM with supervisor patterns, tool-calling agents, and conditional routing. Experienced integrating GPT-4, Claude, Gemini, and open-source LLMs.
Enterprise Document Intelligence - I develop full-stack RAG applications processing 60k+ documents with multi-modal embeddings, achieving 95% accuracy in automated data extraction and 200ms query response times.
Production ML Infrastructure - I deploy scalable FastAPI microservices handling 10k+ QPS with async operations, implement comprehensive observability (Langfuse, OpenTelemetry), and manage CI/CD pipelines with Docker/Kubernetes.
NLP & Deep Learning - Expert in transformer models, BERT, sentence transformers, NER, semantic chunking, and embedding optimization. Published researcher with papers on machine learning applications.
My Recent Impact:
40% improvement in AI matching precision across 1.6B records
10x reduction in business workload through automation
Sub-200ms response times for enterprise knowledge systems
Successful OpenSearch migration at billion-record scale
Tech Stack: Python, FastAPI, React.js, TypeScript, LangGraph, LangChain, LiteLLM, Langfuse, OpenAI API, Google Vertex AI, OpenSearch, Elasticsearch, FAISS, PostgreSQL, MongoDB, Docker, Kubernetes, AWS, GCP
I’m proficient in Python, Go, Solidity, and backend technologies, with extensive experience in Docker, Kubernetes, CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps), and microservices architecture. At ANZ, I developed scalable banking platforms using Python and Golang, implementing Kafka for asynchronous communication and enhancing performance with gRPC.
I also worked on the LLM project IntelliSQL, which generates SQL queries based on user input and the DBMS, executes them, and provides the output, showcasing my ability to leverage AI technologies in practical applications. Additionally, I won the ANZ GENAI Hackfest and actively participated in open-source projects involving OCR with docTR, NLP with spaCy and MedCAT, and deep learning models like LayoutLM and SimpleDLM.
Strong technical background with expertise in generative AI (hackathon win, $2k) and deep learning (medical data projects, semi-supervised learning, pre-trained models). Proficient in data analysis (missing value handling, feature selection) and development ( CI/CD).
In my previous role as a Frontend Developer, I honed my skills in creating responsive, user-friendly web interfaces using modern frontend technologies. My experience includes working with React and TypeScript to build modular, reusable components, and Tailwind CSS and styled-components for efficient and maintainable styling. I have a strong background in JavaScript (ES6+), allowing me to implement complex functionalities and interactive features. Additionally, I have experience with Formik for form validation, ensuring seamless user interactions, and MUI for material design implementation, contributing to consistent and visually appealing UIs. My focus on clean, accessible design and attention to detail ensures that the user experience is always a top priority.
Steps for completing your project
After purchasing the project, send requirements so Sandhya Rani can start the project.
Delivery time starts when Sandhya Rani receives requirements from you.
Sandhya Rani works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Requirements and Analyze Data
I will work with you to gather all necessary project requirements and analyze the provided data sources to ensure they meet your objectives. This includes reviewing data quality and identifying any gaps.