Software product engineering
Web and mobile platforms, portals and internal tools, built for scale, tested end to end and handed over with documentation your team can own.
Product design, full-stack, APIs, test automation
Build, optimise and scale with data and AI.
Mekriha Tech is the technology arm of Mekriha. We design new solutions and make existing ones faster, leaner and smarter: cloud integration, cost and resource optimisation, data platforms and applied AI, from a team with deep experience delivering for global enterprises.
- AWS, Azure, GCPplus Snowflake and Databricks, with professional certifications
- IEEE awardwinning research in AI and digital twins, and a place among the 100 Brilliant Women in 6G, 2025
- ₹1.6B+revenue impact from transformation programmes our team has led
Our team has delivered at
What we do
From new builds to getting more out of the systems you already have. Engage us for one practice, or for the whole path from architecture to a production system that runs lean.
Solution optimisation
We review what you already run and make it faster, more reliable and simpler to maintain, without starting over.
Performance tuning, refactoring, reliability, QA
Cloud integration and DevOps
Connect systems across AWS, Azure and Google Cloud, with infrastructure as code and CI/CD so releases are routine.
Terraform, Kubernetes, Docker, CI/CD pipelines
Cost and resource optimisation
FinOps practice that finds idle and oversized resources, right-sizes workloads and keeps cloud spend in line with value.
FinOps, right-sizing, utilisation, cost governance
Data platforms and analytics
Warehouses, lakehouses and pipelines that turn scattered records into reporting leaders can trust.
Snowflake, Databricks, BigQuery, Airflow
Data migration and modernisation
Moving off legacy and on-premise systems without losing history or stopping operations, with every stage validated.
Legacy to cloud, cross-cloud, reconciliation
AI, ML and generative AI
Forecasting, retrieval-augmented assistants and AI agents built on your data, with the LLMOps to keep them reliable.
Agentic AI, RAG, LLMOps, MLOps, digital twins
Programme and transformation leadership
PMO setup, governance, resourcing and budgets for complex programmes, run with Lean Six Sigma discipline.
PMO, risk and governance, operational excellence
Tools and technologies
The platforms, languages and AI models our team works with every day, across clouds and data stacks.
Python, SQL, React, Node.js, FastAPI, AWS, Google Cloud, Microsoft Azure, Terraform, Kubernetes, Docker, CI/CD pipelines, Pytest, Playwright, Snowflake, Databricks, BigQuery, Redshift, Apache Airflow, Apache Spark, AWS Glue, GPT models, Claude, Gemini, LangChain, Hugging Face, PyTorch, scikit-learn, RAG and AI agents.
Selected work
Our own platform in production, alongside the kind of engagements our team has led for global organisations.
Live and in active development
mekriha.com
A farmer-first marketplace for organic produce from partner farms across Assam and the Brahmaputra valley, with direct delivery to customers and bookable farm and tea-garden experiences. Designed, built and operated by our team.
- E-commerce
- Product catalogue
- Delivery operations
- Experiences booking
From our team's track record, delivered in previous roles:
Cloud and FinOps
Multi-cloud cost management platform for a global telecom operator
Product ownership and data engineering for a FinOps platform giving visibility and savings across AWS, Azure and Google Cloud spend.
Data architecture
Legacy-to-cloud data modernisation for a global media and advertising group
Enterprise architecture for moving complex legacy estates onto cloud-native platforms, including greenfield Snowflake data foundations.
Generative AI
Agentic AI and GenAI solutions on enterprise data platforms
Retrieval-augmented assistants and AI agents built on Snowflake and Databricks, with CI/CD and LLMOps for production use.
Applied research
LLMs and digital twins for telemetry recovery in connected vehicles
Peer-reviewed work combining retrieval, digital twins and LLMs to reconstruct missing data and diagnose faults, published in IEEE journals.
Transformation
Manufacturing transformation programmes with ₹1.6B+ revenue impact
PMO and programme leadership that cut project delays from over 105 days to under 15 and improved turnaround three- to four-fold.
Data engineering
Cloud data pipelines for enterprise consulting clients
Pipelines and warehouses on AWS and Google Cloud using Glue, Airflow, Redshift and BigQuery for analytics at scale.
The team
Architects, engineers and researchers with experience across global consultancies, enterprises and research institutions. Select anyone to see their journey.
100 Brilliant Women in 6G · 2025
Dr. Bishmita Hazarika
R&D Lead and Principal Proposer
AI/ML researcher in generative AI, quantum machine learning and digital twins, published widely in IEEE journals. PhD from National Sun Yat-sen University; named among Women in 6G’s 100 Brilliant and Inspiring Women in 6G, 2025.
- 900+citations
- 15h-index
- IEEEBest Paper 2024
Bhaskar Bhuyan
Solution Architect
Twelve years across cloud data, DevOps and FinOps on AWS, Azure and Google Cloud. Led a multi-cloud FinOps platform that gave enterprise-wide cost visibility and savings, and designs data platforms that stay fast and affordable.
Anirban Bora
Solution Architect
Twelve years engineering quality and reliability into enterprise SaaS and big-data platforms. Builds test automation frameworks and CI/CD quality gates that let teams release often and with confidence.
Resshma Murdeshwar
Data Architect
Fifteen years taking complex legacy estates to modern, cloud-native data platforms. Designs greenfield data foundations on Snowflake and turns business intent into architecture that engineering teams can deliver.
Saurabh Jain
AI and ML Lead
AI/ML specialist building agentic AI, RAG assistants and LLM-powered products on enterprise data, with the LLMOps, CI/CD and cloud engineering to run them reliably in production.
Narendraa Murdeshwar
Business, Resourcing and Budgets
Twenty-plus years leading enterprise and manufacturing transformation, from business case and capital investment to delivery. His programmes have driven ₹1.6B+ in revenue impact and cut project delays from over 105 days to under 15.
How we deliver
The same four stages on every engagement, so stakeholders always know what has been decided, what it costs and what comes next.
Assess
Current systems, data and constraints, with agreed success measures.
Design
Architecture and plan sized to budget, with risks and running costs written down.
Build and migrate
Short, testable increments, with data validated at every step.
Run and improve
Monitoring, cost tuning and model upkeep, or a clean handover.
Let's discuss what you need to build.
For projects, partnerships and investment conversations, write to us directly.
director@mekriha.com