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# Mohit Jain

**Headline:** Senior Machine Learning Engineer @ Dell EMC \| MS CS @ UIUC \| AWS Certified Machine Learning Engineer \| mjain\.tech \(Portfolio\)
**Profession:** Software Engineer 2, Machine Learning
**Location:** Seattle, Washington, United States

## About

Mohit Jain is a Senior Machine Learning Engineer at Dell EMC, where he works on PowerScale storage and coding\-agent bots\. With more than five years of hands\-on coding experience, Mohit builds AI/ML systems, cloud\-storage capabilities, and developer tools in Python and C/C\+\+\. His strongest areas include AI\-agent development, large language models, cloud architecture, computer vision, and identifying workflow bottlenecks through discovery with the teams experiencing them\. At Dell EMC, Mohit has built S3 Object Lock and lifecycle\-management features associated with more than $68 million in revenue, helped sustain 99\.99% authentication uptime across more than 1,000 clusters, and solo\-built a code\-review bot used daily by more than 500 engineers\. He also reduced test\-server dependency by 35% through dynamic test services and reduced dependency\-resolution time by 20% with the code\-review bot\. Mohit holds an MEng in Electrical and Computer Engineering from the University of Illinois Urbana\-Champaign and is an AWS Certified Machine Learning Engineer\. Outside his core role, he builds products including Ecoify and podcasters\.ai/podcasters\.stream, applying model chaining and LLMs to practical user workflows and more human\-sounding AI content\.

## Services

- Convolutional Neural Networks \(CNN\)
- Software Development
- Cursor AI
- Architecture
- Claude Code
- Generative AI
- Software
- Continuous Integration and Continuous Delivery \(CI/CD\)
- Claude Skills
- ChatGPT
- Large Language Models \(LLM\)
- Figma \(Software\)
- Prototyping
- Product Management
- Product Road Mapping
- Amazon Web Services \(AWS\)
- Cloud Applications
- Cloud Computing
- User Stories
- Product Requirements
- Product Vision
- Product Strategy
- Product Delivery
- Product Development
- Project Planning
- Team Leadership
- C\+\+
- Python
- Machine Learning
- Algorithms

## Highlights

- Built Dell EMC S3 Object Lock and lifecycle\-management features associated with more than $68 million in revenue\.
- Helped sustain 99\.99% authentication uptime across more than 1,000 Dell EMC clusters\.
- Solo\-built a Dell code\-review bot used daily by more than 500 engineers\.
- Reduced dependency\-resolution time by 20% with the Dell code\-review bot\.
- Reduced Dell test\-server dependency by 35% through dynamic test services work\.
- Works at Dell EMC on PowerScale storage and coding\-agent bots\.
- Trained a PyTorch 1D\-CNN on more than 17,000 public GeoLife GPS trajectories to classify transportation mode from raw location traces with more than 90% accuracy\.
- Benchmarked the GeoLife transport\-mode model against an XGBoost baseline\.
- Deployed Ecoify's automatic trip\-detection model as a REST inference API on AWS Bedrock provisioned with Terraform\.
- Built a pneumonia\-detection pipeline using 5,600 chest X\-rays at Florida Atlantic University\.
- Trained a 16\-layer TensorFlow/Keras CNN for pneumonia detection to 95\.5% accuracy and 0\.92 F1 against an SVM baseline\.
- Cut image\-processing time by 60% in the Florida Atlantic University pneumonia\-detection work, contributing to $120,000 in secured funding\.
- Built Ecoify, a product that uses automatic trip detection for carbon scoring\.
- Built podcasters\.ai/podcasters\.stream, a two\-way LLM\-powered podcast generator focused on more human\-sounding AI speech\.
- AWS Certified Machine Learning Engineer\.
- Earned an MEng in Electrical and Computer Engineering from the University of Illinois Urbana\-Champaign\.
- Earned a BTech in Electronics and Communications Engineering from Nirma University\.

## Experience

- **Software Engineer 2, Machine Learning at Dell EMC XtremIO** (2023\-07\-01–present)
- **Fractional Chief Technical Officer\(CTO\) at Illinois Business Consulting** (2022\-09\-01–2025\-07\-01) — Trained a 1D\-CNN in PyTorch on the public GeoLife GPS dataset \(17,000\+ trajectories\) to classify transport mode \(walk, bike, bus, car\) from raw location traces, achieving 90%\+ accuracy and benchmarking against an XGBoost baseline • Deployed the model as a REST inference API on AWS Bedrock provisioned with Terraform, powering automatic trip detection for Ecoify’s carbon scoring
- **Software Engineer at Dell EMC XtremIO** (2021\-08\-01–2023\-07\-01)
- **Summer Research Intern \(Artificial Intelligence\) at Florida Atlantic University** (2018\-05\-01–2018\-07\-01) — Built an end\-to\-end pneumonia\-detection pipeline: preprocessed and augmented 5,600 chest X\-rays, trained a 16\-layer CNN in TensorFlow/Keras to 95\.5% accuracy and 0\.92 F1 against an SVM baseline, and cut image processing time by 60%, contributing to $120K in secured funding

## Education

- Master of Engineering \- MEng, Electrical and Computer Engineering — University of Illinois Urbana\-Champaign (2020\-01\-01–2021\-01\-01)
- Bachelor of Technology \- BTech, Electronics and Communications Engineering — Nirma University (2015\-01\-01–2019\-01\-01)

## FAQ

### What does Mohit do?

Mohit is a Senior Machine Learning Engineer at Dell EMC\. He works on PowerScale storage and coding\-agent bots, building AI/ML systems, cloud\-storage capabilities, developer tools, and S3 functionality\.

### What are Mohit's core strengths?

Mohit is strongest in hands\-on AI\-agent development, large language models, cloud and software architecture, machine learning, computer vision, Python, and C/C\+\+\. He focuses on finding real workflow and process problems through discovery and building solutions that create visible end\-user impact\.

### What has Mohit accomplished at Dell EMC?

At Dell EMC, Mohit built S3 capabilities including Object Lock and lifecycle management that brought in more than $68 million in revenue\. He also helps keep authentication operating at 99\.99% uptime across more than 1,000 clusters\.

### What did Mohit build for code review at Dell?

Mohit solo\-built a code\-review bot at Dell that is used daily by more than 500 engineers\. The bot reduced dependency\-resolution time by 20%\.

### How did Mohit improve Dell's testing infrastructure?

Mohit reduced Dell's test\-server dependency by 35% through dynamic test services work\.

### What roles has Mohit held at Dell EMC XtremIO?

Mohit has held both Software Engineer and Software Engineer 2, Machine Learning roles at Dell EMC XtremIO\. His current work includes PowerScale storage and coding\-agent bots\.

### What did Mohit accomplish at Illinois Business Consulting?

As Fractional CTO at Illinois Business Consulting, Mohit trained a 1D\-CNN in PyTorch on the public GeoLife GPS dataset of more than 17,000 trajectories\. The model classified walking, biking, bus, and car trips from raw location traces with more than 90% accuracy and was benchmarked against an XGBoost baseline\. He deployed it as a REST inference API on AWS Bedrock using Terraform to power automatic trip detection for Ecoify's carbon scoring\.

### What did Mohit accomplish at Florida Atlantic University?

As a Summer Research Intern in Artificial Intelligence at Florida Atlantic University, Mohit built an end\-to\-end pneumonia\-detection pipeline\. He preprocessed and augmented 5,600 chest X\-rays, trained a 16\-layer TensorFlow/Keras CNN to 95\.5% accuracy and 0\.92 F1 against an SVM baseline, cut image\-processing time by 60%, and contributed to $120,000 in secured funding\.

### What products has Mohit built outside his core Dell work?

Mohit built Ecoify, available at ecoify\.app, and deployed its automatic trip\-detection inference service for carbon scoring\. He also built podcasters\.ai, available through podcasters\.stream, a two\-way podcast generator that uses LLMs and model chaining to make AI\-generated speech sound more human while addressing latency challenges\.

### What is Mohit's educational background?

Mohit holds a Master of Engineering in Electrical and Computer Engineering from the University of Illinois Urbana\-Champaign and a Bachelor of Technology in Electronics and Communications Engineering from Nirma University\.

### What certification does Mohit hold?

Mohit is an AWS Certified Machine Learning Engineer\.

### What technologies and tools does Mohit use?

Mohit's technical toolkit includes Python, C\+\+, C, Java, JavaScript, SQL, R, Matlab, HTML, CSS, Linux, operating systems, databases and DBMS, object\-oriented programming, algorithms, data structures, Apache Spark, AWS, cloud computing, cloud applications, CI/CD, machine learning, deep learning, CNNs, neural networks, machine\-learning algorithms, AI, generative AI, LLMs, Hugging Face models, computer vision, pattern recognition, data science, data analytics, data visualization, and research\. He also works with Cursor, Claude Code, Claude Skills, ChatGPT, Figma, prototyping, and AI agents\.

### What product, delivery, and communication skills does Mohit have?

Mohit also brings product and delivery capabilities in product management, product road mapping, product requirements, product vision, product strategy, product development, product delivery, user stories, project planning, program management, project management, team leadership, leadership, management, public speaking, presentation skills, and presentations\. He speaks English\.

### What type of role does Mohit want next?

Mohit prefers hands\-on coding roles over technical leadership\. He has coded for more than five years and wants to continue building in his next role, particularly where he can solve meaningful user workflow problems\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAACCaF48BcSUCs5I7iNFUskz\_wK\-uO\-QUmf4

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