Sujay

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Industrial AI for gear manufacturing

predictive maintenance

agentic workflows

Top Data Types

Image

Text

Document

Top Task Types

Function Calling

Text Generation

Data Collection

Entity (NER) Classification

Object Detection

Computer Programming/Coding

Freelancer Overview

Senior AI Engineer — Gleason Corporation (AI integration and ML applied to live machine data, with assistant/tool orches. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Spring School, Gtec Medical Engineering And IEEE Brain (2022) and Master of Science, Ulm University (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling, Text Generation, and Data Collection.

Labeling Experience

Senior AI Engineer — Gleason Corporation (AI integration and ML applied to live machine data, with assistant/tool orchestration)

Function Calling

Built and integrated modular AI workflows to support closed-loop gear manufacturing with guardrails and live anomaly detection. Implemented an AI Assistant that orchestrates multiple MCP tools through a FastAPI backend for scalable task execution. Applied custom-trained machine learning models on live machine data to detect anomalies and improve predictive maintenance and machine health monitoring. • Integrated MCP tools via a FastAPI backend for production-ready workflows. • Developed dashboards for streaming real-time machine data from production systems. • Used custom-trained ML models for real-time anomaly detection on live telemetry. • Built an agentic lead-generation application using MCP-based tool calling to automate lead discovery.

2025 - Present

AI Engineer — EY (generative AI systems and ML modeling applied to business data)

OtherText Generation

Developed generative AI and backend systems that create stepwise documentation and generate business artifacts from provided and inferred information. Built chatbots and AI services that interpret user intent from chat inputs and produce intelligent responses using enterprise APIs. Implemented ML model development for anomaly detection and forecasting using enterprise planning data. • Built FastAPI backends and deployed generative AI services using Azure (CosmosDB, App Service, Azure OpenAI). • Generated contracts and summaries from provided/inferred information using LangChain and vector services (Pinecone, CosmosDB, MongoDB). • Developed solutions to dynamically create OAR and summary reports via chatbot interfaces (LangChain/OpenAI/Streamlit). • Trained and deployed forecasting/anomaly models (ARIMA, LSTM, RNN) using Oracle EPM data.

2022 - 2025

Research/Student Assistant — Ulm University (coding support and dashboard development for issues)

OtherData Collection

Assisted with research and instructional activities using Python and scripting to support deployment workflows and course-based lab outcomes. Contributed to team efforts to develop dashboards for monitoring and resolving issues raised during activities. Conducted practical session supervision and helped peers with technical and programming questions. • Wrote Python and Shell scripts to modify programs for deployment to compute pools. • Supervised practical labs for Computer Architecture and Operating Systems. • Curated course material and supported instruction on software development paradigms. • Helped develop dashboards to manage and resolve raised issues.

2017 - 2020

Education

Work History