Sahil already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
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About
Backend engineer who built an agentic LLM system for private equity/finance that answers questions over enterprise contracts and documents using a vector-db RAG pipeline. Differentiator is a trust-focused citation framework (with highlighted source text) to reduce hallucinations in high-stakes workflows, plus strong DevOps experience deploying microservices on Kubernetes with Helm/GitOps and building Kafka real-time pipelines.
Experience
Software Engineer, AIAltius
Software Engineer Intern, Computer VisionAltius
Graduate ResearcherUMass Amherst BioNLP Lab
Graduate ResearcherMendel.ai
Education
University of Massachusetts Amherstmaster, Computer Science (2025)
University of Massachusetts Amherstbachelor, Computer Science (2023)
Key Strengths
Designed and owned agentic LLM backend architecture for enterprise workflows
Built robust RAG pipeline backed by a vector database to ground responses
Implemented citation/traceability framework with source linking and highlighted evidence to reduce hallucinations and increase user trust
Built CI/CD with GitHub Actions including automated tests, validation, performance testing, and image builds
Deployed containerized microservices to Kubernetes with rolling updates, namespaces, and Helm-managed configs
Built Kafka-based real-time pipeline handling burst traffic with partitioning and ensuring exactly-once processing via offsets and idempotent writes
Planned phased infrastructure migrations with dependency mapping, risk analysis, and production-mirroring staging validation
Built and deployed production LLM/RAG system for enterprise document/contract Q&A
Designed transparency features (citations + highlighted source text) to drive trust and adoption in finance/high-stakes use cases
Integrated structured and unstructured enterprise data via robust ETL for unified conversational querying