You will get a consultation on designing MLOps architecture for your ML projects
Project details
You will consultation on how to productionise ML usecase and architecture diagram of the different services involved. You will get the best advice on how to optimize existing MLOps architecture
Machine Learning Tools
Amazon SageMaker, MLflow, Python, Vertex AIWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 4 days |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
9 reviews
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(1)
(0)
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CH
Curtis H.
Jun 12, 2023
Amar's expertise in MLOps architecture was invaluable. His comprehensive recommendations and clear communication made optimizing our infrastructure a breeze. He tailored his advice to our needs, displayed professionalism throughout, and delivered exceptional results. Highly recommended!
KO
Kara O.
Nov 5, 2025
Vertex AI Consultation Call
Amar was insightful and a pleasure to work with. He helped us clearly understand the Vertex AI implementation, providing valuable guidance throughout the process. Highly recommended!
LS
Lindsey S.
Aug 1, 2024
Gen AI readiness (B)
CH
Curtis H.
Feb 21, 2024
30 minute consultation
Amar was easy to communicate with, understood my needs, and clearly articulated a solution with next steps. If I have future work I will surely reach out to Amar for additional consultation. He's very knowledgeable with AI/ML concepts and appears to have extensive experience implementing business solutions.
DT
Donatas T.
Feb 21, 2024
Prompt Engineer Needed for an EdTech Startup
JL
Joey L.
Feb 7, 2024
PDF based chatbot
Amar and his team are super professional. They managed to work on complex project, within timeframe, with the budget in mind
About Amar
NLP and Generative AI Expert | Top 1 Percent on Upwork Expert-Vetted
100%
Job Success
Amdavad, India - 10:55 pm local time
🚀 Machine Learning | Computer Vision | Data Science | NLP
🧰 Domain / Industry: Education, Manufacturing, Healthcare, eCommerce, HR, Advertisement, Legal etc.
Are you looking to integrate AI into your existing business or embark on the creation of a cutting-edge GPT-4 or AI-powered application? Leveraging a targeted research methodology and my extensive background in AI development, I specialize in crafting applications that effectively address business challenges.
I am an experienced and highly skilled AI/ML & Data Science professional with 10+ years of experience. With a strong background in machine learning, deep learning, and large language models, I have a proven track record of integrating AI capabilities into products and building data science solutions that drive tangible results.
✅ Successfully delivered 50+ AI projects.
✅ Helped 3 start-ups to scale their AI models on production & one of the start-ups named DataRPM got acquired by Progress Software
✅ 100% Committed to helping business leaders and entrepreneurs to get the value out of Generative AI tech by providing proactive consulting
Why to work with me:
✅Trust: beyond the product development and launch, I will be an engineering partner that focuses on solving key problems using technology.
✅ Growth: startups I worked with went on to raise more than $100M in seed and Series A stages. I helped them with GTM strategies and business languages to use in the pitch. I have also helped startup founders to file the patterns.
✅ Speed: Experience in building scalable systems, and developing rapid PoCs and MVPs - have a great team and network previously worked with me in multiple companies.
✅ Empathy: I'm dedicated to fostering transparent and honest communication, ensuring a straightforward and sincere approach in all interactions and deliveries.
Here are some services that I offer in ML and AI:
💢 Machine Learning & Data Science:
✔ Data Strategy and Roadmap, AI Integration with Existing System, AI for Business Automation, Model Deployment, monitoring and Maintenance, MLOps
✔ Predictive Analytics, Prescriptive Analytics, Statistical Analysis, Time Series Analysis
✔ Machine Learning Model Development, NLP, Recommendation Systems, Anomaly Detection, Clustering and Segmentation, Deep Learning based solutions
💢 Generative AI & Large Language Models:
✔ Custom GPT-3 or GPT-4, ChatGPT, and other LLM applications: Content/Text generation, conversational agents, question-answering systems, and more.
✔ Fine-tuning and training: Retrain SoTA models on your custom data for optimal performance.
✔ Prompt Engineering: Design effective prompts to obtain desired responses from AI models.
✔ Application Development: Mobile, Web Apps, and REST API for your LLM / Generative AI solution.
✔ Deployment: GCP, AWS, Azure, and other cloud platforms.
My approach emphasizes rapid delivery of initial results within weeks, allowing you to build your POC or MVP and allow you to focus on product-market fit or other activities.
Skills:
⭐️ Machine Learning Techniques: Linear Regression, Logistic Regression, Decision Tree, Random Forest, SVM, XgBoost, K-Means, PCA, FPGrwoth, Arules
⭐️ Deep Learning: CNN, RNN, GRU, LSTM, Transformers, BERT, GPT-3, VGG, RestNet, YOLO, CLIP
⭐️ Statistical Techniques: Correlation, T-test, ANOVA, Chi-Square
⭐️ ML/MLOps Frameworks: Sklearn, Pytorch, Tensorflow, MLFlow
⭐️ Big Data: Spark, Dask
⭐️ Programming Languages: Python, Scala, R
⭐️ Cloud Technologies: Vertex AI, BigQuery, GCS, AWS OpenSearch, AWS S3, Sagemaker
Book a 30-minute discovery call now for a holistic review of your project to assess a mutually good fit. Whether you learn how to build a solution from me — or hire me to build it for you — I’m here to meet your business requirements where it’s at.
Steps for completing your project
After purchasing the project, send requirements so Amar can start the project.
Delivery time starts when Amar receives requirements from you.
Amar works on your project following the steps below.
Revisions may occur after the delivery date.
Discuss ML usecase
In this step, we will go through the ML usecase and it's objectives
Prepare draft architecture
In this step, I will prepare draft architecture as per the requirements