Engineering capabilities
Build to solve, designed to scale. Our engineers have built large platforms from the ground up and scaled systems to millions of users. The engineering practice at Bhuvi ensures that the team you hire can also deliver the product.
Production-grade AI systems, not experiments: context-aware, tailored to your strategy and built to fit your existing ecosystem. Experience across e-commerce, education, voice technology and media platforms.
AI voice assistants using speech recognition, RAG and OpenAI APIs, for real-time, context-aware customer interactions.
Scene analysis, object detection and intelligent frame extraction for education and media platforms.
Transcription and translation across Hindi, Punjabi, English and Hinglish, using Sarvam.ai and Google Gemini.
Retrieval-augmented generation with LangChain and Chroma, so outputs are relevant in real time.
Real-time pipelines from data ingestion to model inference on cloud-native platforms (GCP, AWS).
Performance tuning and architecture for low-latency AI applications that are ready for production.
Scalable, resilient, real-time data platforms that turn raw data into decisions: modernising legacy batch systems, architecting high-throughput streaming pipelines, and enabling real-time machine learning.
Moving clients from legacy batch to real-time processing: pipelines with sub-70ms latency for ML model execution, and streaming architectures processing over 100 million events a day.
Cloud-native platforms integrated with feature stores and model serving, for fintech, travel and consumer tech, built on Kafka, Flink and Storm.
ML-enabled decision systems for user behaviour modelling, conversion propensity and creditworthiness. Outcomes include +14% user approval rates, +0.75% booking conversion and −13% AWS cost.
Platforms ingesting 450+ million events a day and managing multi-terabyte data lakes, on Cassandra, Redshift, S3 and Spark. One engagement cut data transfer size by 85%.
Automated pipelines, real-time monitoring and alerting, with testing, deployment and observability practices from prototype to production.
High-performance backend systems for fintech, travel, logistics, retail and SaaS: low-latency services, event-driven architectures and observability, built to handle real-world traffic and data volume.
Service-oriented and microservice architectures behind customer experience, payments and notifications, including company-wide audit, purge and orchestration services handling hundreds of millions of records.
Platforms processing 100M+ daily events on Kafka, Redis, Spring Boot, Flink and Storm; real-time decisioning for fraud prevention and behaviour scoring; APIs at roughly 15ms latency serving over a million customers.
Omni-channel platforms for email, SMS, WhatsApp and voice, with throughput control, delivery guarantees and SLA adherence.
CI build times reduced by 90%, automated test and release pipelines, and monitoring of 400M+ documents and 1TB of logs a day.
Resilience and graceful degradation for mission-critical applications, and experience addressing PCI DSS requirements.
Custom, practical automation strategies that focus on return: what to automate, when, and how, with long-term scalability aligned to business goals.
Unit tests for correctness, integration tests for component interactions, and end-to-end and UAT automation of real user workflows.
Test and data generation, self-healing tests that cut maintenance, visual validation and anomaly detection, risk-based test prioritisation, and predictive reporting.
Selenium, Cypress, Playwright, Appium, JUnit and TestNG, customised to your environment and kept cost-effective.
Technology
The tools we use most, not every tool we have touched. We choose to fit your environment.
| Languages | Java (expert), Python, Go, Ruby, C#, JavaScript |
|---|---|
| AI/ML | OpenAI API, RAG, LangChain, Chroma, Google Gemini, prompt engineering, FastAPI, Flask |
| Data engineering | Kafka, Flink, Storm, Airflow, Spark, Celery, Dask, Databricks, Presto, Redshift |
| Data stores | Cassandra, DynamoDB, MongoDB, Elasticsearch, Redis, Memcached, MySQL, PostgreSQL, Oracle |
| Backend | Java/J2EE, Spring Boot, Go, Python, FastAPI, Flask, REST, GraphQL, microservices |
| Cloud and infrastructure | AWS (S3, EMR, Lambda, Redshift), GCP, Docker, Linux |
| CI/CD and observability | Jenkins, GoCD, Maven, Git, ELK stack, Kibana, Nagios, custom monitoring |
| Testing | Selenium, Cypress, Playwright, Appium, JUnit, TestNG |
Industries served
See the results in our case studies.
We can set up the team in India and deliver the product from it, then transfer the team to you when you're ready.
