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AI Engineer with a Master’s in Artificial Intelligence and 3+ years of experience building production-grade Data, ML, LLM, and agentic systems. I design end-to-end AI pipelines—from data ingestion and RAG retrieval to LLM reasoning, evaluation, and deployment—serving real compliance and coaching use cases. I’m comfortable owning the full agent lifecycle including prototyping, prompt engineering, quality evaluation/guardrails, deployment, and iteration. Strong in Python, FastAPI, Docker, and AWS, with additional expertise in data engineering, MLOps, and computer vision-based quality analytics.…AI Engineer with a Master’s in Artificial Intelligence and 3+ years of experience building production-grade Data, ML, LLM, and agentic systems. I design end-to-end AI pipelines—from data ingestion and RAG retrieval to LLM reasoning, evaluation, and deployment—serving real compliance and coaching use cases. I’m comfortable owning the full agent lifecycle including prototyping, prompt engineering, quality evaluation/guardrails, deployment, and iteration. Strong in Python, FastAPI, Docker, and AWS, with additional expertise in data engineering, MLOps, and computer vision-based quality analytics.

Nanthakumarr Senthil

AI Engineer, Data Scientist, Data Analyst, +5

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AI Engineer with a Master’s in Artificial Intelligence and 3+ years of experience building production-grade Data, ML, LLM, and agentic systems. I design end-to-end AI pipelines—from data ingestion and RAG retrieval to LLM reasoning, evaluation, and deployment—serving real compliance and coaching use cases. I’m comfortable owning the full agent lifecycle including prototyping, prompt engineering, quality evaluation/guardrails, deployment, and iteration. Strong in Python, FastAPI, Docker, and AWS, with additional expertise in data engineering, MLOps, and computer vision-based quality analytics.…AI Engineer with a Master’s in Artificial Intelligence and 3+ years of experience building production-grade Data, ML, LLM, and agentic systems. I design end-to-end AI pipelines—from data ingestion and RAG retrieval to LLM reasoning, evaluation, and deployment—serving real compliance and coaching use cases. I’m comfortable owning the full agent lifecycle including prototyping, prompt engineering, quality evaluation/guardrails, deployment, and iteration. Strong in Python, FastAPI, Docker, and AWS, with additional expertise in data engineering, MLOps, and computer vision-based quality analytics.

Available to hire

AI Engineer with a Master’s in Artificial Intelligence and 3+ years of experience building production-grade Data, ML, LLM, and agentic systems. I design end-to-end AI pipelines—from data ingestion and RAG retrieval to LLM reasoning, evaluation, and deployment—serving real compliance and coaching use cases.

I’m comfortable owning the full agent lifecycle including prototyping, prompt engineering, quality evaluation/guardrails, deployment, and iteration. Strong in Python, FastAPI, Docker, and AWS, with additional expertise in data engineering, MLOps, and computer vision-based quality analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Tamil

Intermediate

Work Experience

AI Engineer at butterlabs.ai

February 1, 2026 - Present

Built production backends for multimodal coaching and regulatory compliance. Implemented 10+ data ingestion and retrieval pipelines, designed a RAG-based retrieval layer with document chunking, metadata filtering, and relevance ranking, and developed agentic workflows for extracting structured compliance signals with traceable evidence. Established multi-stage quality gates and auto-quarantine for low-confidence records; containerized services with FastAPI and Docker and maintained monitoring and backfill tooling.

Data Analyst & ML Engineer at Nissan Casting Australia Plant

January 1, 2024 - July 1, 2025

Led digital transformation of quality control using computer vision and unsupervised learning. Designed and deployed anomaly detection models (Isolation Forest, One-Class SVM) to reduce part defects by about 10%. Built an automated CMM data analysis tool to flag deviations against CAD/GD&T standards and provide root-cause insights to engineering teams.

Programmer Analyst at Cognizant

August 1, 2021 - July 1, 2023

Managed large-scale data infrastructure and ETL workflows for enterprise clients. Designed scalable batch ETL pipelines using PySpark and orchestrated end-to-end data workflows with Apache Airflow, reducing manual interventions and improving data integrity across downstream systems.