.png){kind=logo}
Rohith M
Mid-level Full-Stack Developer specializing in AWS serverless and Java/Spring
Connect with Rohith
Rohith already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Built and shipped a production generative-AI recipe feature on AWS serverless (Lambda + Bedrock), evolving it post-launch from fully AI-generated outputs to user-guided structured generation based on real usage patterns and system metrics. Emphasizes reliability via prompt constraints plus deterministic validation, with automated/human eval loops and CloudWatch-based observability to manage latency, cost, and output consistency.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end ownership of production LLM feature (idea → build → launch → iterate)
- Designing serverless backends for LLM applications with structured prompts
- Balancing latency vs quality and cost vs scalability in LLM systems
- Building guardrails: input control, output validation, and graceful fallbacks
- Designing lightweight eval loops with test sets, automated checks, human review, and regression prevention
- Instrumenting pipelines for reliability and observability (CloudWatch logs, failure/latency metrics)
- Turning messy real-world user inputs into controlled internal structured formats
Like what you see? We'll introduce you to Rohith directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Mid-level Software Engineer specializing in cloud and full-stack web development
Senior Full-Stack Java Engineer specializing in AWS cloud-native microservices
Arnold Durazo
Senior Full-Stack Engineer specializing in AI/LLM and cloud-native SaaS
“Software engineer with strong end-to-end ownership across frontend, backend, data, and infrastructure, including real-time systems (Kafka/Postgres) and observability (Datadog). Built and productionized an AI-native RAG support assistant (OpenAI embeddings + Pinecone) with prompt/guardrail design, achieving 48% agent adoption and 30% faster responses. Experienced in legacy modernization and reliability work using feature flags, event/transaction replay, and rapid embedded delivery.”
Interested in Rohith?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Rohith
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent