Aditya Raj

AR

Open to opportunities

Aditya Raj

@adityaraj16

AI-focused software developer building fast GenAI backends and reliable full-stack apps.

What I'm looking for

I’m looking for an engineering role where I can build GenAI-powered backends and full-stack products—shipping fast, dependable systems, improving latency and reliability, and collaborating on production debugging and incident prevention.

I’m an AI-focused software developer pursuing a B.Tech in Information Technology at IIIT Lucknow. I enjoy turning modern ML/GenAI ideas into production-minded systems that are measurable, debuggable, and fast.

At Flipkart as a Software Development Intern, I built a local multimodal RAG backend using FastAPI, Turbovec, and Fastembed, integrating Gemini 2.5 Flash to cut response latency by ~80% (12s to 2s). I also shipped automation that synchronized knowledge across Confluence, Jira, and GitHub into NotebookLM, speeding up on-call triage and debugging.

In parallel, I contributed as an AI Software Engineer (Contract) at Labelbox by validating features across diverse open-source repositories and evaluating 100+ AI-generated code submissions for correctness, security, and maintainability. I bring a strong engineering mindset—debugging multi-file codebases, handling system-level constraints, and building reliable end-to-end experiences, from GenAI backends to full-stack and iOS projects.

Experience

Work history, roles, and key accomplishments

FL

Software Development Intern

Flipkart

May 2026 - Jul 2026 (2 months)

Developed a local multimodal RAG backend with FastAPI and integrated Gemini 2.5 Flash to reduce response latency from ~12s to ~2s. Built knowledge synchronization pipelines and implemented fixes for production monitoring alerts and incident routing across distributed microservices.

fastAPI Turbovec FastEmbed RAG Confluence Jira GitHub NotebookLM Kubernetes Databases Microservices Configuration Driven Sweeper Drools

LA

AI Software Engineer

Jan 2026 - Mar 2026 (2 months)

Contributed to Claude Opus training by validating features across diverse open-source repositories. Evaluated 100+ AI-generated code submissions (Python, Java) and debugged multi-file codebases to improve AI-assisted development reliability.

Claude Opus Training Repositories Python Java Security Multi File Debugging

Education

Degrees, certifications, and relevant coursework

IL

Indian Institute of Information Technology, Lucknow

B.Tech, Information Technology

2023 - 2027

Grade: CGPA: 8.47

Pursuing a B.Tech in Information Technology at IIIT Lucknow. Achieved a CGPA of 8.47.

Tech stack

Software and tools used professionally

GitHub

Kubernetes

MySQL

SQLite

Node.js

UIkIt

Xcode

Jira

JavaScript

Java

TensorFlow

FastAPI

iOS

Gemini

Firebase

SQL

Bash

Labelbox

MediaPipe

FastEmbed

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