Backend Engineer specializing in distributed systems, multi-tenant databases, and robust backend architectures.
Currently building core infrastructure as a Software Research & Development Engineer at THB.
- 97% Crash Recovery Reduction: Designed and implemented an outbox pattern with transaction replays, slashing recovery from 30 minutes of manual SQL audits to 90 seconds.
- Storage Migration Acceleration: Built a per-tenant filesystem configuration system that collapsed storage migrations from a 4-hour deploy cycle to under 1 minute.
- 85% MTTR Reduction: Integrated distributed tracing across services, reducing 5-step manual investigations to a single API call.
- High Resilience: Hardened workflow engines against Postgres/Redis outages with zero data loss using at-least-once delivery and idempotent semantics.
- Tenant Customization: Built a DSL-based workflow engine with ABAC/RBAC evaluations, enabling business teams to configure workflows without engineering intervention or release cycles.
- CDC Event Pipeline: Deprecated polling-based synchronization in favor of Change Data Capture (CDC) pipelines for transactional consistency.
- Low-latency systems & performance optimization
- High-throughput event-driven systems and message brokers
- Observability at scale
- Languages: Go, SQL, Python, C/C++
- Frameworks & Core Tools: Echo, Fiber, NATS, Docker, Linux, MinIO, S3
- Databases & Caching: PostgreSQL, Redis, MongoDB, BadgerDB
- Observability: Grafana, Prometheus, Loki
- Funding: Funded by the Indian Council of Medical Research (ICMR) with ₹90 Lakhs ($100k USD).
- Edge AI: Deployed deep learning models onto Nvidia Jetson Nano for real-time diagnostics from breath patterns.
- Clinical CDSS: Built an NLP-driven Clinical Decision Support System to recommend treatments and flag contraindications.
- Data Science: Expanded the diagnostic dataset to 1,000+ samples using SMOTE.
- Email: [email protected]
- LinkedIn: mrituanjayjha
- Twitter/X: @Mrituanjay7
