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Sachit Kumbhat

@sachitkumbhat

AI Engineer at Turium AI building production RAG systems that improved retrieval F1 to ~0.73 and cut search latency ~65%.

India

Message

At Turium AI, I architected Temporal-based orchestration for Turium Algoreus and built a Gemini 2.5 Pro document extraction pipeline with deterministic validation. I also shipped hybrid RAG combining Milvus, BM25, metadata filtering, and semantic reranking, raising retrieval F1 to ~0.73 while cutting search latency ~65%.

At Akrivia HCM, I integrated AI resume parsing that improved candidate-to-job match accuracy from ~70% to ~90%, and contributed to event-driven microservices and HCM applications. In my projects and open-source work, I’ve built agentic systems with deterministic safeguards and contributed merged fixes to the Hive Agent Framework.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Turium AI

Jul 2025 - Present (1 year 3 months)

Architected Temporal-based workflow orchestration for the Turium Algoreus platform, coordinating ingestion, transformation, model training, and deployment. Built LLM document extraction pipelines with schema-constrained outputs and hybrid RAG, improving retrieval F1 to ~0.73 and cutting search latency ~65%.

Software Development Engineer (Intern)

Akrivia HCM

Nov 2024 - Jun 2025 (7 months)

Integrated an AI-based resume parsing service using TF-IDF and BERT embeddings, improving candidate-to-job match accuracy from ~70% to ~90%. Implemented event-driven microservices with Kafka and Redis, and CI/CD pipelines with GitHub Actions, Docker, and Kubernetes, reducing deployment cycle time by ~70%.

TF IDF BERT Cosine Similarity Kafka Redis GitHub Actions Docker Kubernetes Angular 17 NodeJS NestJS PostgreSQL MySQL MongoDB i18n

Education

Degrees, certifications, and relevant coursework

CMR Technical Campus

Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence and Machine Learning)

2021 - 2025

Grade: 8.63/10

Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, completed with a CGPA of 8.63 out of 10.