Looking for a job

Ayush Solanki

@ayushsolanki

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I build scalable AI systems, RAG platforms, and distributed workflow infrastructure.

India

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What I'm looking for

I'm looking for remote-friendly opportunities to build reliable, scalable AI infrastructure, LLM platforms, RAG systems, and distributed workflows while owning systems end-to-end.

At Attri AI, I architect a graph-based project intelligence platform that connects meeting transcripts, GitHub activity, Confluence, and Jira into a queryable knowledge graph, cutting manual cross-tool status reporting by 90%.

Previously at Optimoz, I owned end-to-end AI system design for HIPAA-compliant healthcare workflows, from APIs and cloud deployment through monitoring and failure handling. I built multi-provider LLM infrastructure that reduced integration time from two days to under four hours, and healthcare RAG pipelines that improved precision@5 by 25% while cutting hallucinations by 40%.

I also build systems from first principles: a C++ HNSW vector engine with 89% recall@10 on one million vectors and 11.7ms P50 latency, and a Go-based distributed workflow engine with deterministic scheduling, retries, and exactly-once execution.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Attri AI

Jun 2026 - Present (2 months)

Architected a graph-based project intelligence platform for engineering project managers, unifying meeting transcripts, GitHub activity, Atlassian Confluence, and Jira into a queryable knowledge graph, with full pipeline observability and monitoring that cut manual cross-tool status reporting by 90%.

Knowledge Graphs Observability Monitoring Logging Alerting Data Pipelines Python Go C++

AI/ML Engineer

Optimoz Inc.

Sep 2024 - May 2026 (1 year 8 months)

Owned end-to-end AI system design lifecycle including API development, cloud deployment, monitoring, and failure handling for HIPAA-compliant AI workflows. Engineered production-grade AI platform with multiple LLM providers, scalable RAG pipelines, and multi-agent systems.

AI Machine Learning LLM RAG BM25 Dense Embeddings Cross Encoder Re Ranking Multi Agent Systems DAG Orchestration API Development cloud deployment Monitoring HIPAA compliance Python

AI/ML Engineering Intern

KenexAI

Jan 2024 - Sep 2024 (8 months)

Built an NLP-to-SQL system enabling natural language querying over relational databases, integrating schema-aware prompting, validation layers, and iterative refinement to achieve 85% query correctness on multi-table joins. Developed an LLM-based meeting intelligence system with multi-stage extraction pipelines producing structured summaries, action items, and technical notes, cutting manual documentation effort by 70%.

NLP SQL LLM Prompt Engineering Data Validation Pipeline Development