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© 2026 Shreyans Padmani. All rights reserved.

Freelance AI and ML developer, available worldwide

Hire AI and ML developers who ship production systems, not demos

Shreyans Padmani is a freelance AI and ML developer with a 100% Upwork job success score, a Microsoft AI certification, and 12 published case studies covering real business outcomes. If you need a production-ready AI system built by the person who will actually build it, this is the right place.

Hourly projectsConsulting and bug fixes on demand. Perfect for short-term audits.
Most popularMonthly contractsDedicated bandwidth for ongoing model training and development.
Fixed priceEnd-to-end delivery with defined milestones and clear ROI.

Available now, projects start within 48 hours, based in India, working with clients worldwide

capability preview, illustrative live
mAP 0.85 to 0.94Typical accuracy
95%+Precision target
Edge or cloudDeployment
What this means for you

One engineer, six specialisationsView full service →
One engineer, full accountabilityThe person who scopes your project is the person who builds it.
12 published case studiesReal business outcomes, not architecture diagrams.
Validated on your dataNo generic benchmark scores presented as your results.
Monitored after launchDrift detection and retraining, not deployed and forgotten.

Why work with me

Production-ready AI, built for scale, security, and performance

As an AI engineer specialising in generative AI, machine learning, LLM integration, and predictive analytics, I build secure, scalable, high-performance AI systems designed for real-world business impact, not experimental demos.

01

Built for real business use

A clear, honest evaluation of your business needs and data, focused on AI solutions that are realistic, scalable, and built to create real impact.

02

Custom AI and ML solutions

Every solution is built around your business needs. Whether it is generative AI, LLM integration, or machine learning models, the goal is to solve real problems.

03

Future-ready AI infrastructure

Robust, secure, scalable AI systems designed and deployed to adapt, perform, and grow seamlessly alongside your business.

04

End-to-end AI development

From planning to deployment, I manage the full process to make sure everything works properly and keeps improving over time.

How it gets built

End-to-end AI development process

A structured, production-ready approach to designing, building, deploying, and scaling AI solutions for real-world business impact.

PHASE 01

Requirement gathering

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Time spent understanding your business, your data, and the challenges you are facing, to identify where AI can truly add value instead of forcing it where it is not needed.
PHASE 02

Planning and analysis

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Before building anything, the system gets mapped out: selecting the right model, planning the data flow, and designing a structure that can grow with your business.
PHASE 03

Model design

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Once the plan is clear, the model gets built based on your actual needs, whether that is generative AI, predictive models, or deep learning, depending on what fits your use case best.
PHASE 04

Model deployment and validation

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After development, the system is tested carefully, its performance fine-tuned, and deployed in a way that runs smoothly in your real working environment.
PHASE 05

Integration and testing

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AI models are integrated into your systems, apps, or APIs, then tested extensively for security, scalability, and flawless operation.
PHASE 06

Deployment and monitoring

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AI solutions run in production with continuous monitoring, optimisation, and scaling built in for long-term performance and impact, not a one-time handoff.

What I build

AI and ML development services

Custom AI and machine learning solutions designed to solve real business problems and support long-term growth. Expertise in AI agents, machine learning, generative AI, NLP, computer vision, and custom model training helps businesses automate tasks, improve efficiency, and make smarter decisions.

GA

Generative AI development

Build intelligent systems powered by GPT-4, Claude, Gemini, DALL-E, and open-source LLMs. Custom chatbots, RAG pipelines, LLM fine-tuning, and multi-agent orchestration, each validated against your specific data before deployment.

Explore generative AI
ML

Machine learning and predictive analytics

Transform raw data into revenue-generating predictions using Python, TensorFlow, PyTorch, and scikit-learn. From churn prediction to demand forecasting, every model is validated on your actual data, real-world accuracy, not generic benchmark scores.

Explore machine learning
NL

Natural language processing

Automate document processing, feedback classification, and text intelligence using BERT, spaCy, and transformer-based models. NLP solutions typically reduce manual analysis time by 60 to 80% for most business use cases.

Explore NLP
CV

Computer vision development

Deploy visual AI for medical imaging analysis, quality control, and retail automation. Models are built and validated on your specific image domain, not generic pre-trained weights applied without adaptation. Cloud or edge inference.

Explore computer vision
AG

AI agent development

Design and deploy autonomous AI agents that plan, reason, and take action using LangChain, AutoGen, and CrewAI. Agents handle multi-step workflows including research, data retrieval, decision-making, and API calls with minimal human intervention.

Explore AI agents
MT

Custom AI model training

Fine-tune and train custom AI models on your proprietary data for banking, healthcare, ecommerce, and manufacturing. Data pipeline setup, model evaluation, versioning, and production deployment, from scratch or on your existing cloud.

Explore model training

Industries we serve

AI solutions across industries

Domain expertise across diverse sectors, built to solve real business problems, not adapted from a generic template.

Let's talk

Let's create something intelligent together

Custom AI development, generative AI solutions, and scalable ML systems built for real business impact. Discuss business challenges, data opportunities, and automation goals to identify the right AI strategy, from generative AI and LLM integration to predictive analytics and production-ready machine learning deployment.

Client testimonials

Trusted by founders and businesses

Real feedback from clients who hired an AI and ML developer for automation and custom ML solutions.

★★★★★

"Working with Shreyans was a smooth experience. He understood our requirements well and built a Credit Report Automation solution that saved us a lot of manual work and made our process much faster."

U
UtsavCEO
65%less manual work
★★★★★

"Shreyans quickly understood our process and delivered an automation solution that made audit form filling much easier for our team. It reduced manual work and improved overall efficiency."

A
AnkitCEO
40%better accuracy
★★★★★

"Shreyans delivered an AI chatbot that handled our most common customer queries automatically. Response times dropped significantly and the solution was well-documented and straightforward to maintain."

P
Priya NairProduct Manager
50%more engagement
★★★★★

"The NLP pipeline Shreyans built cut our data processing time by 70%. Outstanding technical depth and great communication throughout."

S
Sara WilliamsData Lead
70%faster processing
★★★★★

"The computer vision solution Shreyans built reduced defect detection time by 80% on our manufacturing line. Exceptional work."

J
James OkaforOperations Manager
80%faster detection
★★★★★

"The generative AI system Shreyans built saved us 30 hours per week in content creation. Highly recommend for any AI project."

L
Lena MullerMarketing Director
30 hrssaved weekly

Engagement models

Hire an AI and ML developer: three engagement options

Whether you need a freelance AI and ML developer for a defined project, a monthly retainer, or a one-off consulting call, the engagement model fits your requirements.

Hourly

Best for audits, consulting, and targeted bug fixes

Flexible on-demand access. Ideal for scoping calls, technical reviews, or short-term problem solving.

Most popular

Monthly contract

Best for ongoing development, model training, and iteration

Dedicated bandwidth each month. Consistent development velocity with no re-onboarding overhead between cycles.

Fixed price

Best for defined projects with clear deliverables

End-to-end delivery against agreed milestones. Scope, timeline, and success criteria agreed before work begins.

About

Hi, I'm Shreyans Padmani

Shreyans Padmani

I build intelligent AI and ML solutions that help businesses solve real problems and make smarter decisions: machine learning models, deep learning, NLP and computer vision, data analysis and insights, and AI-powered automation. Let's build intelligent solutions that drive real impact for your business.

100% Upwork JSSMicrosoft AI Certified12 case studies5+ years

FAQ

Frequently asked questions about hiring AI and ML freelance developers

Direct, self-contained answers to the most common questions about hiring a freelance AI and ML developer.

What does an AI and ML developer do?
An AI and ML developer designs, builds, and deploys machine learning models and AI systems that automate tasks, analyse data, and generate predictions. Core work includes setting up data pipelines, selecting and training models, integrating AI outputs into existing products via APIs, and monitoring performance in production. Specialisations within AI and ML development include natural language processing, computer vision, generative AI, and autonomous AI agents. A freelance AI and ML developer handles this end to end rather than splitting responsibilities across a team.
How much does it cost to hire an AI and ML freelancer?
Hourly rates for experienced AI and ML freelancer developers typically range from 50 to 150 USD per hour depending on specialisation and seniority. Fixed-price project rates vary by scope. A focused ML model with clean data can start from 2,000 to 5,000 USD. An end-to-end AI system with custom training, API integration, and deployment typically ranges from 10,000 to 50,000 USD depending on complexity. Monthly retainer contracts are available for ongoing development with consistent bandwidth.
What is the difference between hiring an AI freelancer and an AI agency?
An AI and ML freelancer gives you direct access to the developer building your system. There is no account manager overhead, no ambiguity about who is assigned to your project, and no agency markup, which typically adds 2 to 3 times the base developer cost. The practical tradeoff is capacity. A freelance AI and ML developer suits focused projects and ongoing contracts up to full-time bandwidth. Agencies suit large parallel workstreams that genuinely require multiple specialists working simultaneously.
How long does an AI and ML project take?
A focused ML model covering a single prediction task with clean, prepared data typically takes 2 to 4 weeks from scoping to deployment. A full AI system with custom model training, API integration, and production infrastructure takes 6 to 12 weeks. The most common delay in AI projects is data quality, not development speed. If your data needs cleaning, labelling, or structuring first, budget an additional 2 to 4 weeks before model development begins.
What technologies do you use for AI and ML development?
Core stack: Python, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, OpenAI API, Anthropic API, FastAPI, Docker, AWS, and GCP. Frameworks are selected per project requirements rather than applied as a fixed template. LLM integration projects typically use LangChain or direct API access with custom orchestration. Computer vision projects typically use PyTorch with YOLO, ResNet, or custom architectures depending on the visual task.
Do you offer ongoing support after deployment?
Yes. Monthly retainer contracts cover ongoing model monitoring, retraining when performance drifts, and iterative feature development. Hourly contracts are available for bug fixes, audits, or one-off consultations. Every production deployment includes handoff documentation, monitoring setup, and a defined support window. For clients who want to internalise the system over time, knowledge transfer sessions are available as part of the engagement.

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Shreyans Padmani Profile

Shreyansh Padmani

Building scalable apps & tech roadmaps for growing businesses.

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