Mid-level AI/ML Software Engineer specializing in data pipelines, BI dashboards, and computer vision
Wichita, KansasGraduate Assistant Intern3 years experienceMid-LevelAutomotiveAutonomous VehiclesArtificial Intelligence
ScreenedIdentity Verified
Connect with Alekhya
Alekhya 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
Graduate Assistant Intern at Friends University who built and deployed a GenAI-driven requirement understanding system that automates extraction and semantic grouping of technical requirements from large unstructured documents. Demonstrates strong LLM engineering rigor (golden datasets, regression testing, post-processing validation) and production-minded delivery using LangChain/LlamaIndex orchestration, FastAPI microservices, Docker, and cloud deployment.
Experience
Graduate Assistant InternFriends University
AI/ML Software EngineerStellantis
Education
Friends Universitymaster, Management Information Systems (2025)
TKR College of Engineering and Technologybachelor, Computer Science and Engineering (2021)
Key Strengths
Built and deployed a GenAI requirement-understanding system to production for extracting/grouping requirements from unstructured documents
Designed end-to-end LLM + embeddings pipeline (ingestion, reasoning, clustering/retrieval) and served via FastAPI microservices
Implemented multi-layer evaluation with gold-standard/edge-case benchmarks (precision/recall/consistency) plus automated regression testing
Optimized LLM workflows for performance and scalability using async processing, efficient vector stores, batch processing, Docker, and cloud deployment
Strong orchestration experience with LangChain and LlamaIndex for multi-step RAG and agentic workflows
Effective collaboration with non-technical stakeholders (faculty/research staff) via discovery sessions, iterative feedback, and adoption-focused delivery
Discover more candidates like Alekhya
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.