.png){kind=logo}
SB
Sayak Banerjee
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
Schaumburg, ILMachine Learning Engineer Intern2 years experienceInternSaaSHuman Resources Technology (HR Tech)Financial Services
ScreenedIdentity Verified
Connect with Sayak
Sayak 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
Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.
Experience
Machine Learning Engineer InternPaylocity
Associate - Data Science and EngineeringAcuity Knowledge Partners
Education
Carnegie Mellon Universitymaster, Computational Data Science (2025)
Vellore Institute of Technologybachelor, Electronics and Communication Engineering (2022)
Key Strengths
- Improved production RAG assistant by replacing sequential retrieval with hybrid HNSW + keyword pipeline
- Reduced chatbot latency by ~2 seconds and token usage by ~5000 via retrieval changes and prompt tuning
- Implemented tuned Reciprocal Rank Fusion (RRF) to fuse dense and keyword rankings for Top-N retrieval
- Scaled orchestration by integrating Apache Airflow across existing ETL pipelines
- Built template-based ETL integration enabling time-based and event-based triggers, reducing manual monitoring
- Strong evaluation discipline for agents/RAG (unit tests, mocked tool outputs, end-to-end metrics, RAGAs)
Discover more candidates like Sayak
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent