Custom ML Models
End-to-end model development: from a scoped proof-of-concept to a fully deployed, production-grade model integrated with your existing business tools in Indore.
Direct access, no account layer
I build and deploy production machine learning systems for Indore and Madhya Pradesh businesses, and for clients internationally. You work with the engineer who writes the code, from discovery to deployment, not an account manager.
In-person meetings at Crystal IT Park, video calls worldwide, NDA before any data
Why direct access
Indore-based and available for local meetings, delivering custom machine learning models that address the specific needs of IT/ITES, pharma, and textile businesses across Madhya Pradesh.
Collaborate directly with a seasoned Machine Learning Engineer from discovery to deployment, with clear, unbroken communication from Crystal IT Park.
An NDA is signed before any project data is shared, so the confidentiality and security of your business information are protected.
Review 12+ verifiable case studies with measurable outcomes that demonstrate real machine learning delivery, not a generic portfolio.
Plain answer
A Machine Learning Engineer in Indore designs, develops and deploys custom ML models, natural language processing applications and computer vision systems for businesses, then integrates them into the tools your team already uses.
The work spans the full lifecycle: framing the problem, preparing and validating data, selecting and training the right model, deploying it reliably, and monitoring it in production so accuracy holds as your data shifts. If you are still deciding whether machine learning fits at all, that assessment is part of the work too.
What I offer
A full range of machine learning development, delivered by the person who actually builds your system, not routed through an account manager.
End-to-end model development: from a scoped proof-of-concept to a fully deployed, production-grade model integrated with your existing business tools in Indore.
Machine learning pipeline automation, model deployment, versioning and monitoring, so your models stay reliable and observable in production.
Advanced deep learning for image classification, object detection and other computer vision tasks where accuracy on real-world data matters.
Personalised recommendation engines for e-commerce, content streaming and other recommendation-heavy products that need higher engagement.
Failure-prediction models for manufacturing, industrial automation and equipment-heavy operations, to cut unplanned downtime and service cost.
Feasibility assessments, architecture reviews and vendor evaluation for Indore businesses deciding whether and how to adopt machine learning.
Tooling
Advanced ML frameworks, MLOps tools, and cloud platforms, selected per project to build high-performance models that deliver accurate predictions and real business value.
The honest comparison
Indore has genuinely excellent established companies. For a large, multi-specialist product build, that scale helps. For a focused machine learning project, working directly with an experienced independent engineer is usually faster to start and more cost-effective, with no meaningful drop in quality.
| Factor | Independent ML Engineer (me, directly) | ML company in Ahmedabad |
|---|---|---|
| Point of contact | ✓ Direct with the engineer who builds the system | Account manager, then project manager, then developer |
| Time to start | ✓ Typically within a week of discovery call | 2 to 6 weeks for proposal, scoping and staffing |
| Pricing structure | ✓ Fixed-scope milestones, transparent and upfront | Hourly or monthly retainer, often with agency overhead |
| Best fit for | ✓ Focused ML models, MLOps, NLP, vision, predictive builds | Large, multi-team products needing 5+ developers across domains |
| Communication | ✓ Direct Slack/WhatsApp/calls with zero relay loss | Weekly status reports relayed through account managers |
| IP and code ownership | ✓ 100% transferred to you upon milestone delivery | Standard IP terms, occasionally subject to master agreement |
Local context
Indore has a growing machine learning and technology ecosystem, supported by strong engineering and educational institutions, technology companies, startups and innovation-focused communities. The city is building capability across artificial intelligence, data science, fintech, healthtech and other emerging domains.
Institutions such as IIT Indore, SGSITS, DAVV and IIM Indore, together with the wider Madhya Pradesh innovation network, contribute to talent, research and entrepreneurship. The Crystal IT Park and the broader Pithampur industrial corridor offer robust infrastructure for IT/ITES, pharma and textile AI projects, expanding collaboration between academia, startups, established enterprises and investors.
That combination of technical talent, institutional support and access to a wider technology ecosystem gives Indore businesses a strong foundation for adopting machine learning with confidence.
Regular participation in Indore AI meetups, startup incubation sessions, and engineering roundtables across Indore and the Pithampur industrial area.
How it gets built
Clear milestones with regular updates, not a single opaque delivery at the end of the project.
Proof
Documented case studies with measurable outcomes, available to review before you hire, not just a generic portfolio.
An NLP pipeline that categorises open-text feedback into 14 business-relevant themes automatically, cutting manual triage from hours to seconds.
A computer vision model that classifies images into categories for automated quality inspection on the line, flagging anomalies in sub-second inference time.
A predictive model that forecasts demand for retail products, so stock and staffing match what is actually coming, cutting excess holding cost by 18%.
Why me
Based in Indore and available for local meetings at Crystal IT Park, delivering machine learning systems built to the same standard international clients receive.
You work with the same person from discovery call to deployment, with no account manager or rotating team member in between.
Clear, upfront pricing for machine learning development and consulting, with no hidden markup layered on top of the engineering cost.
12+ documented case studies with measurable outcomes, available to review before you hire, not just a portfolio deck.
A written technical spec within 48 hours of your discovery call, and most engagements starting within a week.
Meaningfully lower cost than large agencies or overseas developers, with no drop in engineering quality or communication.
Client words
Verified feedback from businesses that hired me for focused machine learning work.
"Shreyans scoped the problem before writing a line of code and delivered a working model on the timeline he committed to. Talking to the engineer directly, with no account manager, saved us weeks."
"The forecasting model went straight into production and held its accuracy on live data. Clear milestones and honest trade-offs throughout, exactly what we hoped for from an independent engineer."
"We started with a consulting audit rather than a build, which was the right call. He told us where machine learning would and would not help, then delivered only what actually moved the number."
Insights
Practical guides on cost, vetting and where machine learning pays off, from the same person who does the work.
What a proof-of-concept, a production build and an ongoing retainer actually cost, and what drives each number.
ML consultant costThe questions that separate an engineer who ships production systems from someone who has only trained toy models.
ML interview questionsWhere machine learning creates real decision value, and how to tell that apart from a model built for its own sake.
ML for business decisionsFAQ
Common questions from Indore businesses researching Machine Learning Engineers and consultants.