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# Madhumitha Thota

**Headline:** SDE\-1
**Profession:** SDE\-1
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Madhumitha Thota is a software engineer with experience developing user\-facing features at Deutsche Bank, where Madhumitha worked for one year\. Madhumitha is strongest in backend and systems\-oriented work, particularly navigating technical constraints, legacy codebases with limited documentation, and changes that require careful consideration of downstream service interactions\. At Deutsche Bank, Madhumitha led Java implementation for new features during a migration from a Salesforce codebase to a Java backend and led a service\-to\-service migration from REST to gRPC, including service\-contract management and cross\-environment validation\. Madhumitha also works across the stack, with React frontend experience and a particular interest in backend and AI\-related systems\. In machine learning and generative AI, Madhumitha has used PyTorch, TensorFlow, and generative models, and built a custom LLM inference engine from scratch with request scheduling, KV\-cache management, and dynamic batching\. Madhumitha holds a Master of Science in Computer Science from New York University and studied Computer Science at the National Institute of Technology Warangal\.

## Highlights

- Worked as a Software Engineer at Deutsche Bank for one year, developing user\-facing features\.
- Led Java implementation for new features during a migration from a Salesforce codebase to a Java backend\.
- Led migration of service\-to\-service communication from REST to gRPC\.
- Managed service contracts and cross\-environment validation during the REST\-to\-gRPC migration\.
- Built a custom LLM inference engine from scratch\.
- Implemented core LLM inference\-engine components including request scheduling, KV\-cache management, and dynamic batching\.
- Completed machine learning and generative AI projects using PyTorch, TensorFlow, and generative models\.
- Worked across the stack, including React frontend experience and backend systems work\.
- Worked as a Software Intern at Texas Instruments\.
- Earned a Master of Science in Computer Science from New York University\.
- Studied Computer Science at the National Institute of Technology Warangal\.

## Experience

- **SDE\-1 at Deutsche Bank** (2025\-07\-01–2026\-08\-01)
- **Software Intern at Texas Instruments** (2024\-05\-01–2024\-07\-01)

## Education

- Computer Science — National Institute of Technology Warangal (2021\-01\-01–2025\-01\-01)
- class 12, Telangana State Board of Intermediate Education — S R Edu Centre (2019\-01\-01–2021\-01\-01)
- Secondary School Certificate, Board of Secondary Education, Telangana — SR Edu Centre (2019\-01\-01)
- Master of Science, Computer Science — New York University (2026\-01\-01)

## FAQ

### What does Madhumitha do?

Madhumitha is a software engineer with experience in user\-facing application development, backend systems, service migrations, frontend work with React, and machine learning and generative AI projects\.

### What was Madhumitha's role at Deutsche Bank?

Madhumitha worked as a Software Engineer at Deutsche Bank for one year, developing user\-facing features\.

### What did Madhumitha accomplish during the Salesforce\-to\-Java migration?

At Deutsche Bank, Madhumitha led Java implementation for new features as part of a migration from a Salesforce codebase to a Java backend\.

### What did Madhumitha do in the REST\-to\-gRPC migration?

Madhumitha led a migration of service\-to\-service communications from REST to gRPC\. The work included managing service contracts and validating the migration across environments\.

### How does Madhumitha approach legacy systems?

Madhumitha is comfortable working in legacy codebases where documentation is missing and stakeholder ownership is unclear\. Madhumitha works to uncover client needs and identify practical paths forward in those conditions\.

### What are Madhumitha's systems and problem\-solving strengths?

Madhumitha considers downstream impacts and interactions among services when making technical changes\. Madhumitha also adapts to technical constraints and finds practical solutions when ideal resources are unavailable\.

### What is Madhumitha's machine learning and generative AI experience?

Madhumitha has experience with machine learning and generative AI projects using PyTorch, TensorFlow, and generative models\.

### What did Madhumitha build in LLM systems?

Madhumitha built a custom LLM inference engine from scratch, including request scheduling, KV\-cache management, and dynamic batching\.

### What is Madhumitha's full\-stack and AI product interest?

Madhumitha has React frontend experience and is particularly interested in backend and AI\-related systems\. Madhumitha is interested in building user\-facing application features that integrate AI rather than treating AI as a separate API\.

### What kind of ownership and learning does Madhumitha value?

Madhumitha prioritizes strong learning opportunities and developing a deep understanding of systems rather than only using existing tools\. Madhumitha also seeks meaningful technology ownership across requirements, implementation, deployment, and operation\.

### What was Madhumitha's experience at Texas Instruments?

Madhumitha was a Software Intern at Texas Instruments\.

### Where did Madhumitha earn a master's degree?

Madhumitha earned a Master of Science in Computer Science from New York University\.

### Where did Madhumitha study computer science before graduate school?

Madhumitha studied Computer Science at the National Institute of Technology Warangal\.

### What is Madhumitha's school education?

Madhumitha completed class 12 through the Telangana State Board of Intermediate Education at S R Edu Centre and earned a Secondary School Certificate through the Board of Secondary Education, Telangana, at SR Edu Centre\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/madhumitha\-thota\-3630a9252

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