Software Engineer II
Owns distributed backend services, AI-assisted grading workflows, orchestration, observability, and production reliability.
Reduced grading latency and improved operational consistency by 30%.
Forward deployed engineer / AI systems / backend platforms
I build full-stack AI products from user-facing workflows to reliable backend platforms.
Software engineer with 7+ years across distributed systems, cloud-native backend infrastructure, LLM workflows, retrieval pipelines, evaluation systems, and customer-facing product iteration.
Production debugging
Workflow orchestration
RAG and evaluation
Kubernetes operations
Stakeholder-facing delivery
Operating mode
Useful where ambiguity meets implementation.
Ratnadeep works close to users and operations teams, then turns messy workflow problems into reliable backend systems. His work spans rapid feature iteration, production issue resolution, observability, deployment ownership, and AI-assisted automation that can be measured and improved.
The throughline is practical system design: asynchronous services, fault-tolerant orchestration, retries, idempotency, tracing, and infrastructure that keeps product teams moving after launch.
Experience
Backend, AI, and platform work across startups and scale.
Technical Consultant
Built LLM workflows for document intake, summarization, classification, RAG, Text-to-SQL, and validation pipelines.
Added RAGAS evaluation, PII filtering, prompt safety checks, and workflow monitoring.
Senior Software Engineer
Improved high-volume microservices supporting 80K+ daily active users with low-latency and reliability requirements.
Reduced cascading failures through service communication redesign and Saga patterns.
Software Engineer
Built Go-based event ingestion, AWS workloads, Airflow pipelines, external APIs, and webhook notifications.
Improved throughput, performance, cost efficiency, and production visibility.
Software Engineer
Built healthcare backend APIs and led Kubernetes/EKS migration with Terraform-managed AWS infrastructure.
Created a custom Kubernetes operator for PostgreSQL provisioning, failover, and lifecycle operations.
Founding Engineer
Established backend architecture, platform infrastructure, GKE deployment practices, and internal tooling for a 0 to 1 product.
Owned backend and infrastructure systems end-to-end in an early-stage environment.
Product Engineer
Built backend integrations, APIs, Angular frontend workflows, and real-time communication features in a fast-paced startup environment.
Implemented resumable onboarding flows plus WebRTC video calling and Twilio-powered audio calling.
Selected projects
Agent systems, retrieval products, and developer tooling.
Self-hosted agentic RAG system
Vidura
Production-grade retrieval, memory, document grounding, and tool execution for contextual AI responses.
Full-stack agent runtimeAgent Orchestration Platform
Next.js, FastAPI, PostgreSQL, Redis, Python workers, workflow runs, token tracking, Telegram webhooks, and runtime event mirroring.
Natural language analyticsNL-to-SQL
Schema-grounded SQL generation with validation guardrails, sqlglot parsing, caching, repair attempts, and tests.
Computer use agentSkyCUA
Local task automation through controlled Docker environments, tool orchestration, and execution workflows.
Agent CLI and HTTP serviceGoClaw
Agent runtime experimentation with tool execution, LLM interaction, persistent memory, and external integrations.
Stack
Systems fluency from model workflow to infrastructure.
Distributed systemsBackend architectureAI agentsLLM orchestrationRAGText-to-SQLGoPythonFastAPITypeScriptReactKubernetesAWSTerraformPostgreSQLRedisObservabilityWorkflow orchestration
Available for Tech Lead, senior backend, platform, and AI systems roles