# Aman Kumar

> AI @ C3 AI | MLE | FDE | Applied AI | UPenn

Profile: https://flows.cv/amankumar1

I’m a Machine Learning Engineer and Data Scientist with deep expertise in architecting and deploying end-to-end machine learning solutions, from research and experimentation to production-grade systems at scale. My work sits at the intersection of applied AI, customer-facing solution delivery, and AI-native product development, with experience building systems that not only perform well technically but also solve real business problems in production environments.
 
My technical focus spans:
 
1) Generative AI and LLMs: Multi-agent systems, retrieval-augmented generation, document intelligence, LLM orchestration, and AI-native workflows.

2) Computer Vision: Vision transformers, image quality assessment, and document understanding pipelines. 

3) Classical ML and Time-Series: Regression modeling, anomaly detection, predictive maintenance, and feature engineering.

4) MLOps and Infrastructure: Model deployment, experiment tracking, drift monitoring, CI/CD, and automated orchestration.
 
I also bring a strong customer-facing and forward deployed engineering mindset, working closely with stakeholders and users to understand operational pain points, translate them into scalable AI solutions, and drive successful adoption. I approach problems with an ownership mindset, focusing on measurable impact by reducing cycle times, automating manual workflows, and scaling solutions across teams. I’m passionate about building applied AI systems that balance technical rigor with practical business value, strong user outcomes, and ethical responsibility.

I’m especially interested in roles across Applied AI, Machine Learning Engineering, Forward Deployed Engineering, and Data Science, with a focus on AI-native products, agentic systems, and workflow automation. I’m excited by opportunities where I can work closely with users, own problems end to end, and build production systems with real impact.

Technical Skills: Python, SQL
 AI-Native Development Tools: Claude Code, Codex, Cursor

## Work Experience
### Data Scientist @ C3 AI
Jan 2023 – Invalid Date | Redwood City, California, United States
• Led end-to-end development of production machine learning systems across Property Appraisal, Generative AI, Document AI and Reliability products, including multi-modal RAG pipelines, agentic AI systems, and predictive maintenance solutions.
• Delivered high-impact, scalable machine learning solutions that enhanced customer success.

### Head Graduate Teaching Assistant @ University of Pennsylvania
Jan 2023 – Jan 2024 | Philadelphia, Pennsylvania, United States
Head Teaching Assistant for course CIS 5450 (Big Data Analytics) Spring, Summer, Fall 2023, Spring 2024

### Graduate Research Assistant @ University of Pennsylvania
Jan 2023 – Jan 2023
University of Pennsylvania CIS Department
ESG Analytics Lab @ The Wharton School (Management Department)

### Graduate Teaching Assistant @ University of Pennsylvania
Jan 2022 – Jan 2023 | Philadelphia, Pennsylvania, United States
Graduate Teaching Assistant for course CIS 5450 (Big Data Analytics) Fall 2022
Graduate Teaching Assistant for course CIS 5210 (Artificial Intelligence) Spring 2022

### Data Scientist @ Corner Stone Solutions
Jan 2020 – Jan 2021

### Electrical Engineering Analyst @ Reliance Industries Limited
Jan 2017 – Jan 2018


## Education
### Master of Science - MS
University of Pennsylvania

### Artificial Intelligence
Centre for Artificial Intelligence, IIT Kharagpur

### Bachelor of Technology - BTech
Manipal Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/amankumar36
- Email: mailto:amankr5934@gmail.com

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Source: https://flows.cv/amankumar1
JSON Resume: https://flows.cv/amankumar1/resume.json
Last updated: 2026-04-19