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# Pallavi Maralla Satish

**Headline:** Open to SWE & Forward Deployed Engineering roles \| Developer @ SERC \| Backend & Full Stack Engineer \| Building Scalable APIs & Cloud Systems \| LLM Integration \| OTT/Media Tech \(ex\-Zee Entertainment\) \| MS CS, Stevens
**Profession:** Research Assistant \- Full Stack Developer
**Location:** Jersey City, New Jersey, United States

## About

Pallavi Maralla Satish is a backend and full\-stack engineer open to software engineering and forward\-deployed engineering roles, with experience building scalable APIs, cloud systems, internal workflow products, and applied LLM integrations\. At Stevens Institute of Technology’s Systems Engineering Research Center \(SERC\), Pallavi owns an internal workflow automation platform end to end, from requirements gathering and product design through deployment\. Pallavi designed its Zoho Creator forms, views, reports, data flows, and supporting AWS infrastructure, including Amazon Route 53, to replace manual email\-based operations and reduce work across teams\. Previously, Pallavi was an SDE\-I at Zee Entertainment Enterprises Limited, working on production backend systems for a major Indian media and OTT platform\. Pallavi migrated Watch History and Launch API services from AWS to GCP, integrated the MUSIC API into Watch History, reduced API latency by 30–40%, and consolidated more than 10 downstream API calls into two optimized calls\. Pallavi also built Query Plot, using LLM integration to translate natural\-language input into data visualizations\. Pallavi holds an MS in Computer Science from Stevens Institute of Technology and a BE in Computer Science from Dayananda Sagar College of Engineering\.

## Services

- Object\-Oriented Programming \(Java\)
- Database Management System \(DBMS\)
- Algorithm Design & Analysis
- Prompt Engineering
- Applied AI / AI Technology Management
- Agile Software Development
- DevOps Principles
- System Migration
- Technical Documentation
- Android Development
- Mobile App Architecture
- Jira
- Amazon Route 53
- Project Management
- Zoho
- Amazon Web Services \(AWS\)
- Continuous Integration and Continuous Delivery \(CI/CD\)
- Mobile Applications
- Kotlin
- Back\-End Web Development
- Software Development
- Software Design
- Web Engineering
- Java Vertx
- Agile Methodologies
- Web Development
- Programming
- Application Programming Interfaces \(API\)

## Highlights

- Owns an internal workflow automation platform at Stevens Institute of Technology’s Systems Engineering Research Center \(SERC\), from requirements gathering and design through deployment\.
- Designed Zoho Creator forms, views, reports, data flows, and platform structure to replace manual, email\-based operational processes across teams\.
- Served as the primary technical decision maker for the SERC platform, converting organizational needs into requirements and implementation without a predefined specification\.
- Built an end\-to\-end hiring platform that streamlined hiring operations and saved hours\.
- Used supporting AWS infrastructure, including Amazon Route 53, for the SERC workflow platform\.
- Migrated Zee Entertainment’s Watch History and Launch API services from AWS to Google Cloud Platform, improving scalability and cost efficiency\.
- Designed and implemented Java and Kotlin backend services for high\-traffic OTT platforms at Zee Entertainment\.
- Fully implemented and integrated the MUSIC API within Watch History services, improving feature richness and system performance\.
- Optimized metadata queries and service logic at Zee Entertainment, reducing API latency by 30–40%\.
- Consolidated more than 10 downstream API calls into two optimized calls, improving response times and system efficiency\.
- Improved backend reliability and performance through refactoring and query optimization for live OTT services\.
- Authored and maintained Swagger/OpenAPI documentation for internal and external collaboration\.
- Collaborated with QA, DevOps, and product teams on releases with minimal production issues\.
- Contributed to Git\-based CI/CD workflows, merge\-conflict resolution, clean deployments, production debugging, and performance tuning\.
- Built Query Plot, using LLM integration to convert natural\-language input into data visualizations\.
- Developed a Kotlin Android MIS Generator application at JSW to centralize and automate report sharing\.
- Replaced JSW’s manual email\-based reporting workflow with a mobile application\.
- Helped achieve approximately a 70% reduction in latency during a JSW system migration while maintaining minimal downtime\.
- Received recognition for best contribution during the JSW internship for performance improvements and reliable deliverables\.
- Created technical and user documentation for the JSW application to support maintenance and future enhancements\.
- Developed a Kotlin application at Schaffen Softwares with QR\-code generation, QR scanning, and text\-translation features\.
- Contributed to user\-interface design and implementation at Schaffen Softwares\.

## Experience

- **Research Assistant \- Full Stack Developer at Systems Engineering Research Center \(SERC\)** (2025\-07\-01–2026\-05\-01) — Owned an internal workflow automation platform end to end, from gathering requirements to design to deployment, built on Zoho Creator with supporting AWS infrastructure\. Designed and built forms, views, and reports in Zoho Creator to replace manual, email\-based operational processes, reducing manual effort across teams\. Served as the primary technical decision maker for the platform, translating organizational needs directly into product requirements and implementation, without a predefined spec to follow
- **SDE \- 1 at Zee Entertainment Enterprises Limited** (2022\-04\-01–2024\-07\-01) — Worked as a Software Development Engineer \(SDE\-I\) on large\-scale, production\-grade backend systems\. ZEE GITHUB \- @pallaviZee Migrated critical services such as Watch History and Launch API from AWS to Google Cloud Platform \(GCP\), improving scalability and cost efficiency\. Designed and implemented backend services using Java and Kotlin for high\-traffic OTT platforms\. Fully implemented and integrated the MUSIC API within Watch History services, improving feature richness and system performance\. Optimized metadata queries and service logic, reducing API latency by 30–40%\. Consolidated 10\+ downstream API calls into 2 optimized calls, significantly improving response times and system efficiency\. Improved system reliability and performance through backend refactoring and query optimization\. Authored and maintained Swagger / OpenAPI documentation, enabling smoother collaboration with external and internal teams\. Collaborated closely with QA, DevOps, and product teams to ensure smooth
- **App Developer at JSW** (2021\-03\-01–2021\-05\-01) — Developed an Android MIS Generator application using Kotlin to centralize and automate report sharing across teams\. Replaced manual email\-based reporting workflows with a mobile application, significantly improving operational efficiency\. Played a key role during system migration, achieving ~70% reduction in latency\. Ensured smooth transition with minimal downtime during migration activities\. Recognized for best contribution during the internship due to performance improvements and reliability of deliverables\. Created detailed technical and user documentation, enabling easier maintenance and future enhancements\. Collaborated with cross\-functional teams to gather requirements and deliver a production\-ready application\.
- **Android Developer at Schaffen Softwares** (2020\-09\-01–2020\-11\-01) — Developed a Kotlin application that helps users with generalized tasks\. Developed features such as a QR code generator, QR scanner, and text translator to enhance user utility\. Contributed to the design and implementation of an excellent user interface\.

## Education

- Master of Science \- MS, Computer Science — Stevens Institute of Technology (2024\-09\-01–2026\-05\-01)
- Bachelor of Engineering \- BE, Computer Science — Dayananda Sagar College of Engineering, BANGALORE (2018\-01\-01–2022\-01\-01)

## FAQ

### What does Pallavi do?

Pallavi is a backend and full\-stack engineer open to software engineering and forward\-deployed engineering roles\. Pallavi’s work spans scalable API development, cloud infrastructure and migrations, OTT and media systems, internal workflow automation, and LLM integration\.

### What are Pallavi’s core technical strengths?

Pallavi’s strongest areas include Java, Python, Node\.js, Kotlin, backend web development, API development and performance optimization, database optimization, AWS, GCP, system migration, Agile development, system design, CI/CD, and applied AI\. Pallavi also has experience with ScyllaDB, MongoDB, SQL, Java Vertx, Zoho Creator, Amazon Route 53, Jira, DevOps principles, technical documentation, Android development, and mobile application architecture\.

### What does Pallavi do at the Systems Engineering Research Center \(SERC\)?

At SERC, Pallavi serves as a Research Assistant and Full\-Stack Developer, owning an internal workflow automation platform from requirements gathering through design and deployment\. The platform is built with Zoho Creator and supporting AWS infrastructure\.

### What did Pallavi build at SERC?

Pallavi designed and built Zoho Creator forms, views, reports, data flows, and the overall platform structure\. The work replaced manual, email\-based operational processes, reduced manual effort across teams, and supported an end\-to\-end hiring platform that streamlined hiring operations and saved hours\.

### How did Pallavi lead the SERC platform technically?

Pallavi was the platform’s primary technical decision maker, translating organizational and nontechnical needs into product requirements and implementation without a predefined specification\. Pallavi drove the technical direction from design to deployment and used AWS, including Amazon Route 53, to support the platform end to end\.

### What did Pallavi do at Zee Entertainment?

At Zee Entertainment Enterprises Limited, Pallavi worked as an SDE\-I on large\-scale, production\-grade backend systems for a major Indian media and OTT platform\. Pallavi designed and implemented high\-traffic backend services using Java and Kotlin and supported live production services\.

### What cloud\-migration work did Pallavi do at Zee Entertainment?

Pallavi migrated critical Watch History and Launch API services from AWS to Google Cloud Platform, improving scalability and cost efficiency\. Pallavi also played a role in backend refactoring, production debugging, performance tuning, and reliability improvements for live services\.

### What was Pallavi’s MUSIC API work at Zee Entertainment?

Pallavi fully implemented and integrated the MUSIC API within Watch History services\. This expanded feature richness and improved system performance in a real\-traffic OTT environment\.

### What performance improvements did Pallavi deliver at Zee Entertainment?

Pallavi optimized metadata queries and service logic, reducing API latency by 30–40%\. Pallavi also consolidated more than 10 downstream API calls into two optimized calls, improving response times and system efficiency\.

### How did Pallavi collaborate and support delivery at Zee Entertainment?

Pallavi authored and maintained Swagger/OpenAPI documentation to support collaboration with internal and external teams\. Pallavi worked closely with QA, DevOps, and product teams, managed tasks and sprints through Jira boards, and contributed to CI/CD workflows using Git, including merge\-conflict resolution and clean deployments\.

### What is Pallavi’s Query Plot project?

Pallavi built Query Plot as an applied AI project that uses LLM integration to turn natural\-language input into data visualizations\. The project reflects Pallavi’s interest in reasoning systems alongside backend and full\-stack engineering\.

### What did Pallavi build at JSW?

At JSW, Pallavi developed an Android MIS Generator application in Kotlin to centralize and automate report sharing across teams\. The mobile application replaced manual email\-based reporting workflows and improved operational efficiency\.

### What did Pallavi accomplish at JSW?

During a system migration at JSW, Pallavi helped achieve approximately a 70% reduction in latency while ensuring a smooth transition with minimal downtime\. Pallavi was recognized for best contribution during the internship because of performance improvements and reliable deliverables\.

### How did Pallavi support the JSW application beyond development?

Pallavi created detailed technical and user documentation for the JSW application, enabling maintenance and future enhancements\. Pallavi also collaborated with cross\-functional teams to gather requirements and deliver a production\-ready application\.

### What did Pallavi do at Schaffen Softwares?

At Schaffen Softwares, Pallavi developed a Kotlin application for generalized user tasks\. Pallavi built features including a QR\-code generator, QR scanner, and text translator, and contributed to the application’s user\-interface design and implementation\.

### What is Pallavi’s education?

Pallavi holds a Master of Science in Computer Science from Stevens Institute of Technology and a Bachelor of Engineering in Computer Science from Dayananda Sagar College of Engineering in Bangalore\.

### What kinds of roles is Pallavi seeking?

Pallavi is interested in roles that combine strong backend fundamentals, OTT and media\-scale systems, and applied AI\. Pallavi is also open to forward\-deployed engineering work centered on understanding real problems and building the systems that solve them\.

### How can I contact Pallavi?

Pallavi can be reached at \[contact removed\]\. Pallavi’s portfolio is available at https://pallavi\-maralla\.vercel\.app/\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAABosFFoBDcN3PjaraCDjpkJSOPGAedULBUA

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