Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines
Syracuse, NYResearch Assistant6 years experienceMid-LevelTechnologySaaSEducation
ScreenedIdentity Verified
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
Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.
Experience
Research AssistantSyracuse University
Software EngineerCavisson Systems Inc.
Education
Syracuse Universitymaster, Computer & Information Sciences (2025)
Key Strengths
Built and maintained a lightweight TS/JS utility library for LLM agent message formatting, tool invocation, and safe JSON returns in Node.js
Designed flexible but simple APIs using small composable primitives instead of a monolithic interface
Improved reliability with schema-driven validation and normalization to reduce runtime failures from missing fields/type mismatches
Established project rigor with semantic versioning, changelog, and CI with automated PR testing
User-driven iteration via GitHub issues/discussions; shipped targeted improvements (structured errors, logging hooks, lower-level primitives) without bloating API surface
Performance-first engineering approach: profiling hotspots, simplifying contracts, benchmarking and validating changes with integration tests
Strong community support workflow: reproduce issues from real payloads/environments, provide clear explanations and minimal repros, enhance diagnostics for self-serve debugging
Thrives in unstructured environments; independently defined milestones and built a research pipeline for natural-language to structured JSON at Syracuse University
Discover more candidates like ROHITH
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.