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Wattmonk Technologies Tech Stack
Solar engineering platform with ML-driven design and monitoring
Wattmonk operates a solar engineering service scaled to ~20,000 homes monthly across all 50 states, backed by a tech stack spanning AWS, Python, TensorFlow, and PyTorch for ML workloads, plus visualization tools (Tableau, Power BI, Qlik). The project mix—ML model training/deployment, data pipeline orchestration, legacy PHP-to-Node.js migration—signals a transition from manual engineering workflows toward data-driven automation and cloud-native infrastructure, though data integration and model deployment remain documented friction points.
Tech Stack 48 technologies
Core StackAWS React Python TensorFlow PyTorch scikit-learn Java Scala Power BI Tableau Elasticsearch Cassandra Amazon SageMaker Node.js Angular Spring Boot Azure GCP R Spark MLlib Excel Qlik HBase Hive HDFS MXNet Amazon Lex Amazon Polly AWS Comprehend Amazon Rekognition+18 more
AdoptingNode.js
What Wattmonk Technologies Is Building
◆Challenges
- Legacy migration to node.js
- Challenging development and data integration problems
- Data integration challenges
- Ml model deployment challenges
- Improving operational kpis
- Process bottlenecks
- Scalable process implementation
- Workflow optimization
- Process automation
▲Active Projects
- Ml architecture patterns for native and hybrid cloud
- Legacy migration from php to node.js
- Total solution design for data ingestion, pipeline, data preparation & orchestration
- Ai/ml model development and integration into enterprise applications
- Data ingestion pipeline and orchestration
- Ml model training and deployment in enterprise applications
- Digitization of sops
- Automation initiatives
- Ai/ml process efficiency
Hiring Activity
Minimal9 roles · 0 in 30d
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