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.
Direct access, no account layer
I build and deploy production machine learning systems for Thiruvananthapuram and Kerala 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 Technopark, video calls worldwide, NDA before any data
Why direct access
Thiruvananthapuram-based and available for local meetings, delivering tailored machine learning solutions to businesses across Kerala.
Collaborate directly with a seasoned Machine Learning Engineer from discovery to deployment, with clear, unbroken communication.
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 Thiruvananthapuram 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.
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 Thiruvananthapuram 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
Thiruvananthapuram 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 Thiruvananthapuram |
|---|---|---|
| Point of contact | ✓ Direct line to the engineer building your system. | Account manager routes requests and communication. |
| Cost efficiency | ✓ No agency markup, only value-based pricing. | Higher overhead due to sales, management, and office costs. |
| Turnaround speed | ✓ Faster decisions and iterations without internal approval layers. | Multiple stakeholders can slow down delivery. |
| Flexibility | ✓ Easily adapts to changing requirements and timelines. | Fixed SOWs and change orders increase friction. |
| 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
Thiruvananthapuram has a thriving machine learning and technology ecosystem, anchored by world-class research institutions and a vibrant IT corridor at Technopark. The city is a hub for space technology, defence R&D, and advanced IT services, offering a rich environment for AI innovation.
Key players include ISRO and VSSC, which drive cutting-edge work in satellite data and autonomous systems, alongside Technopark's cluster of IT services companies, startups, and innovation labs. The presence of institutions like IIITM-K and the University of Kerala further strengthens the talent pool and research capability.
That unique combination of space/defence rigour and IT service expertise gives Thiruvananthapuram businesses a powerful foundation for adopting machine learning with confidence and achieving measurable operational impact.
Regular participation in Technopark AI meetups, ISRO innovation sessions, and startup incubation events across Thiruvananthapuram.
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 Technopark, Thiruvananthapuram and available for local meetings, 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 Thiruvananthapuram businesses researching Machine Learning Engineers and consultants.