Open to opportunities

Syam Kumar

@syamkumar

I build production AI systems, RAG pipelines, and multimodal products that turn enterprise knowledge into useful decisions.

United States

Message

What I'm looking for

I'm looking to build production AI and LLM applications where I can deliver RAG, agentic workflows, machine learning models, and scalable APIs with cross-functional teams in an Agile environment.

I've built enterprise Generative AI applications at MCI, including RAG pipelines, multi-agent workflows, semantic search, document intelligence, and FastAPI services powered by OpenAI, Azure OpenAI, Anthropic Claude, LangChain, and LangGraph.

Previously at Cotiviti and ValueLabs, I developed machine learning models for fraud detection, risk analytics, predictive modeling, classification, and regression, while building reliable data pipelines, REST APIs, evaluation workflows, and cloud-ready deployments.

I also build production products such as SearchOutfit, a multimodal fashion retrieval platform, and BingeItBro, a personalized entertainment discovery platform serving 150 users. I enjoy turning AI, data, and full-stack engineering into scalable experiences that solve practical business problems.

Experience

Work history, roles, and key accomplishments

Current

AI/LLM Engineer

Current

MCI - USA

Oct 2025 - Present (10 months)

Designed and developed enterprise-grade Generative AI applications using LLMs to automate business workflows and enhance knowledge discovery. Built RAG pipelines, multi-agent workflows, and scalable REST APIs using FastAPI and Python.

AI / ML Engineer

Cotiviti

Feb 2025 - Sep 2025 (7 months)

Developed and deployed machine learning models for fraud detection and risk analytics. Built RAG pipelines and optimized prompt engineering for LLM applications, and deployed scalable REST APIs using FastAPI.

Python scikit learn TensorFlow PyTorch XGBoost Hugging Face RAG Prompt Engineering fastAPI Docker Git CI CD SQL Pandas NumPy

Machine Learning Engineer

ValueLabs

Jul 2022 - Nov 2023 (1 year 4 months)

Developed and deployed supervised machine learning models for predictive analytics. Performed data preprocessing, feature engineering, and built end-to-end ML pipelines, with dashboards in Power BI.

Python scikit learn Pandas NumPy SQL XGBoost Random Forest Logistic Regression Decision Trees SVM Power BI Matplotlib SeaBorn Git Agile

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Information Science

2024 - 2025

Pursued a Master of Science in Information Science, focusing on advanced topics in information systems and data management.

VEMU Institute of Technology

Bachelor of Technology, Electronics and Communication Engineering

2019 - 2023

Completed a Bachelor of Technology in Electronics and Communication Engineering, gaining a strong foundation in electronics and communication systems.