Pratiksha Padmanabhan profile photo 1 on Tal

Pratiksha Padmanabhan

Software Engineer (USC MS CS) | Backend, Fullstack and GenAI | Spring Boot API, React, LLM, RAG | Ex-Axis Bank

Mumbai

2+ years of work experience

Easley-Dunn Productions, Inc.
Mar 20269 mosPresent

- Enhanced sprint planning and timeline workflows by implementing Gantt scale-fit, task-centering, and task-visibility fixes, improving navigation across sprint and backlog views for 150+ customers. - Building an agentic AI assistant for a SwiftUI iOS app that interpreted natural-language aesthetic preferences, analyzed style images, and recommended style-transfer settings for personalized image generation. - Developed and refined an iOS application in SwiftUI that applies photorealistic style transfer to user images - Integrated a CoreML model from a research pipeline into a mobile environment for on device inference- - Implemented image preprocessing and postprocessing, including resizing, normalization, and pixel level -transformations - Debugged and improved model output quality by adjusting data handling between the ML model and the UI
University of Southern California
Jul 20252 mosAug 2025

Los Angeles, California, United States

TourScout
Jun 20242 mosJul 2024

Marina del Rey, California, United States

– Owned end to end design, development and delivery of a React (TypeScript) based widget backed by an Node.js, Express, API, deployed across 13 B2B clients; reduced manual update workflows by 15 hours/week. – Analyzed user behavior via UTM-based Mixpanel analytics to guide feature iteration and improve engagement. – Designed and deployed RAG-based pipelines using chunking and embeddings to process user review data and deliver relevant context for LLM-based query responses in production workflows. – Developed AI-driven workflow for content generation and data processing, improving user engagement and retention by 15%. Designed and iteratively refined prompts and context strategies to improve LLM output quality.
Axis Bank Foundation
Aug 20233 mosOct 2023

Axis Bank
Jul 20221 yr 1 moJul 2023

GitHub
@pratiksha-p02

Pratiksha’s AI Stack

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claude
codex
codex
cursor
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langgraph
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Vapi
Vapi

Education

University of Southern California

Master's degree, Computer Science

University of Southern California

20241 yr2025
SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

20184 yrs2022

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Headline

Software Engineer (USC MS CS) | Backend, Fullstack and GenAI | Spring Boot API, React, LLM, RAG | Ex-Axis Bank

About

I prompt-engineered my cover image!! I’m a software engineer focused on backend systems, APIs, and AI-powered workflows. My experience spans building Spring Boot microservices in banking systems, developing scalable web applications, and designing LLM-powered retrieval and orchestration pipelines using RAG, vector search, and FastAPI. I enjoy building systems that make complex workflows simpler and more reliable, especially at the intersection of backend infrastructure, data systems, and applied AI. Recently, I’ve been exploring: • AI agents and orchestration • Retrieval systems and semantic search • Real-time LLM applications • Scalable backend architectures • AI-assisted developer workflows Previously at Axis Bank and currently pursuing MS CS at USC.

Location

Mumbai

AI stack

claude code

claude

codex

cursor

langgraph

Vapi

Work experience

Software Engineer at Easley-Dunn Productions, Inc., Mar 2026 - Present · 9 mos, - Enhanced sprint planning and timeline workflows by implementing Gantt scale-fit, task-centering, and task-visibility fixes, improving navigation across sprint and backlog views for 150+ customers. - Building an agentic AI assistant for a SwiftUI iOS app that interpreted natural-language aesthetic preferences, analyzed style images, and recommended style-transfer settings for personalized image generation. - Developed and refined an iOS application in SwiftUI that applies photorealistic style transfer to user images - Integrated a CoreML model from a research pipeline into a mobile environment for on device inference- - Implemented image preprocessing and postprocessing, including resizing, normalization, and pixel level -transformations - Debugged and improved model output quality by adjusting data handling between the ML model and the UI

Salesforce Developer Assistant at University of Southern California, Jul 2025 - Aug 2025 · 2 mos, Los Angeles, California, United States

Software Developer at TourScout, Jun 2024 - Jul 2024 · 2 mos, Marina del Rey, California, United States, – Owned end to end design, development and delivery of a React (TypeScript) based widget backed by an Node.js, Express, API, deployed across 13 B2B clients; reduced manual update workflows by 15 hours/week. – Analyzed user behavior via UTM-based Mixpanel analytics to guide feature iteration and improve engagement. – Designed and deployed RAG-based pipelines using chunking and embeddings to process user review data and deliver relevant context for LLM-based query responses in production workflows. – Developed AI-driven workflow for content generation and data processing, improving user engagement and retention by 15%. Designed and iteratively refined prompts and context strategies to improve LLM output quality.

Software Developer at Axis Bank Foundation, Aug 2023 - Oct 2023 · 3 mos

Software Developer at Axis Bank, Jul 2022 - Jul 2023 · 1 yr 1 mo

Education

Master's degree, Computer Science, University of Southern California

SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

Public links

github: https://github.com/pratiksha-p02