Nischal R Ellur
@nischalrellur
I build privacy-preserving ML and API automation platforms with full-stack and DevOps impact.
What I'm looking for
I’m a Computer Science and Engineering student who ships production-ready AI and backend systems. In my Campus Research Project at Unisys India, I deployed an air-gapped API automation platform that parses OpenAPI specs into executable workflow definitions and MCP service stubs, running with local LLM inference and zero cloud dependency.
I also built a privacy-preserving semantic search layer over live API documentation using ChromaDB and Qdrant, designed to prevent external data egress and integrate directly into the production search workflow. Previously, as a Project Intern at Honeywell, I delivered an end-to-end ML pipeline for live ground operations—modeling dynamic taxiway topology as a graph and serving conflict-minimized path predictions.
I enjoy turning hard real-world constraints into working systems. On my projects, I built a distributed GPU compute cluster with a unified OpenAI-compatible REST API gateway, created a real-time multiplayer platform with Docker and DigitalOcean deployment, and developed NeuralDSA—an adaptive DSA tutor with a FastAPI backend and a React knowledge graph frontend, backed by AWS Bedrock evaluation.
Experience
Work history, roles, and key accomplishments
Shipped a production-deployed API automation platform for a regulated, air-gapped enterprise environment, converting OpenAPI specs into executable workflow definitions and MCP service stubs. Deployed a semantic search layer over live API documentation using ChromaDB and Qdrant with privacy-preserving ingestion and no external data egress.
Delivered an end-to-end ML pipeline integrated into live ground operations by ingesting real ADS-B telemetry streams, modeling dynamic taxiway topology as a graph, and serving conflict-minimized path predictions to ground control. Designed time-varying edge weights for runway occupancy and sequential scheduling constraints, validated on historical METAR and ADS-B datasets with measurable conflict
Education
Degrees, certifications, and relevant coursework
RV College of Engineering
Bachelor of Engineering, Computer Science and Engineering
2022 - 2026
Grade: GPA: 9.10/10.00 (up to Sem V)
Pursuing a B.E. in Computer Science and Engineering at RV College of Engineering (GPA 9.10/10.00 up to Sem V).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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