Experience
2025
Machine Learning and Systems Engineer
- Designed and developed autonomous agentic workflows using CrewAI for the continuous monitoring and optimization of digital twin simulations improving the management of predictive models for system analysis and resource allocation.
- Integrated of multiple Agentic Frameworks into the CI/CD pipeline, automating the software development cycle by using MLOps principles to minimize manual intervention and accelerate the Agile iteration frequency.
- Deployed scalable, production-grade RAG pipelines using LangChain and vector databases to serve domain-specific LLMs. This architecture ensured low-latency, context-aware inference for specialized enterprise applications.
- Tools: Python, CrewAI, LangChain
May 2025 - Present | Detroit, Michigan
Research Assistant II
- Enhanced Genome Wide Association Studies (GWAS) at the UM School of Public Health by authoring a paper on a novel phenotype recognition method, the bespoke Large Language Models (LLMs) successfully tested on 12 distinct phenotypes from over +50,000 Genetic Sequencing and Electronic Health Records.
- Advanced Deep Learning diagnostic accuracy by about 38% by collaborating on a paper within a cross-functional team of doctors at Michigan Medicine to integrate expert reasoning into LLMs. This work analyzed +80,000 precision health records from +24,000 patients, using NeMo Guardrails to ensure data security and topic relevance.
- Accelerated AI-driven research cycles by 15x on a HIPAA-regulated HPC cluster by implementing a parallelized software architecture with vLLM within an Agile development framework while utilizing Site Reliability Engineering techniques to employ information security methods to protect sensitive data.
- Tools: Python, LangChain, LangGraph, PubMed Central API, PyTorch, vLLM, Bash
August 2024 - Present | Ann Arbor, Michigan
2024
Machine Learning Engineering Intern
- Deployed Predictive Modeling using Lightwood and Hugging Face models on Docker to develop 5+ proprietary ML Models.
- Analyzed information using the internal database and integrated ML models into the SAAS platform services of "Suuchi GRID", resulting in a 27% increase in orders.
- Tools: Python, MindsDB, Hugging Face, Lightwood, PyTorch, Apache Superset, Docker, PostgreSQL
May 2024 - November 2024 | Jersey City, New Jersey