📍Mumbai 💼 Junior Developer @ Lexlegis.ai

Software Developer.
Building full-stack SaaS applications.

I build full-stack SaaS features with Python, Django, Next.js, and React, and integrate RAG and LLM capabilities into document workflows.

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EXPERIENCE & EDUCATION

Building real products.

Software development experience across SaaS platforms, AI-powered workflows, backend systems, and product integrations.

Currently working

2025 — PRESENT

Junior Developer

Lexlegis Solutions Private Limited

Building full-stack SaaS and AI-powered legal technology products using Django, Next.js, React, RAG, and LLM workflows.

01

Library Platform

Developed core Library workflows for Files, Templates, Clauses, AI Rulebook, Prompts, and Question Sets using Django and Next.js.

Django Next.js REST APIs

02

RAG & Document Q&A

Developed the Interact module for document upload and RAG/LLM-powered question answering over uploaded content.

RAG LLMs Document AI

03

Product Integrations

Integrated Zendesk and WATI for support and WhatsApp-based interactions, and contributed to the product's Mira AI agent.

WATI Zendesk AI Agent

04

Platform & Offline Products

Developed product features using Framework7, Electron.js, and Python for RSS-based news feeds and on-premise/offline deployments.

Electron Python Framework7

ACADEMIC BACKGROUND

2024 — 2025 73%

Post Graduate Diploma in Advanced Computing

CDAC Mumbai

2021 — 2024 81.10%

B.Tech in Computer Engineering

DBATU University

Core Stack Console

Technical Proficiencies

Languages, frameworks, and platforms used to build SaaS and AI products.

zsh — aditya@lexlegis

LANGUAGES
Python · JavaScript

BACKEND
Django REST Framework · FastAPI

FRONTEND
Next.js · React

AI & RETRIEVAL
RAG · LLMs · Vector Embeddings

DATA
PostgreSQL · MySQL · Qdrant

PLATFORM & TOOLS
.NET · Docker · Git · Postman · JMeter

> experience

2025—Present — Junior Developer, Lexlegis Solutions

> current_focus

[OCR & Document Processing] [LLM Integration] [SaaS Feature Development]

SELECTED PROJECT

Engineering implementations.

01 / 01

01 / 08

AI QUALITY ENGINEERING

RegressAI

Regression Test Case Recommender

PROJECT WALKTHROUGH

A RAG-based tool that analyzes GitHub pull requests and retrieves relevant regression test cases. It combines document retrieval with LLM-powered risk analysis to help identify potential testing gaps.

FastAPI Next.js ChromaDB PostgreSQL

8 interface screens Video tour

Port Initialization

Initialize Connection.

Let's create something amazing together. Send me a message and I'll get back to you shortly.

📱 +91 8421433038 • 💼 LinkedIn

Software Developer. Building full-stack SaaS applications.