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Dhvani Kapatel

@dhvanikapatel

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Associate Software Developer building LLM-driven and backend systems with Django and Python.

India

Message

What I'm looking for

I’m looking for a role where I can build production-ready backend systems and fine-tune LLMs for practical tasks, with room to improve performance, reliability, and responsible AI practices in a collaborative team.

I’m an Associate Software Developer focused on shipping scalable backend solutions and applying LLMs to real operational problems. At Scaletech Solutions, I fine-tune models like Mistral-7B and Qwen2.5-3B using QLoRA/LoRA (via Unsloth) for financial data extraction and legal email drafting, while collaborating on end-to-end model evaluation, performance benchmarking, and delivery.

I also build and harden production services with Django and Django REST Framework—designing and integrating REST APIs, managing PostgreSQL databases, and resolving application issues. My internship at Qurious Click Digital Agency strengthened my backend and automation skills through a Python + PostgreSQL + Docker inventory system, REST APIs, and web scraping for automated data collection.

Across my projects, I combine ML and application engineering: ScaleOps includes real-time dashboards and a production planning simulator plus a Gradient Boosting Regressor for coil price prediction (~1.1% MAPE) and an OpenAI-powered Quote Assistant. I build AI platforms like WebScope AI with Playwright-based ensemble scraping, compliance-first controls, and structured extraction to support downstream workflows.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Developer

Current

Scaletech Solutions

Mar 2026 - Present (4 months)

Fine-tuned LLMs (Mistral-7B, Qwen2.5-3B) using QLoRA/LoRA via Unsloth for financial data extraction and legal email drafting, including end-to-end model evaluation and benchmarking. Developed backend features with Django and Django REST Framework, including REST APIs and PostgreSQL database integration.

Unsloth (QLoRA LoRA)Mistral LLM Fine tuning Model Evaluation Benchmarking Django Django REST Framework REST APIs PostgreSQL

Software Developer Intern

Qurious Click Digital Agency

Sep 2025 - Feb 2026 (5 months)

Built backend features for an Inventory Management System using Python and PostgreSQL, including REST API development and web scraping for automated data collection. Contributed to ML model fine-tuning with TensorFlow and delivered WebScope AI, a multi-extractor web intelligence platform.

Python PostgreSQL Docker REST APIs Web Scraping TensorFlow Machine Learning WebScope AI

WebScope AI

Qurious Click Digital Agency

Built an AI-powered scraping platform with 15+ specialized content extractors and ensemble extraction for JS-heavy sites using Playwright. Implemented compliance-first scraping (robots.txt, rate limiting, anti-bot, user-agent rotation) with real-time monitoring and automated SOW generation from scraped data.

fastAPI React Playwright Python Redis Web Scraping Content Extractors Robots.Txt Rate Limits Anti Bot User Agent Rotation Monitoring

ScaleOps

Scaletech Solutions

Built a full-stack manufacturing platform with real-time dashboards, production planning simulation, inventory management across coil types/grades, and priority-based order tracking. Trained a Gradient Boosting Regressor for coil price prediction (~1.1% MAPE) and integrated an OpenAI-powered Quote Assistant supporting natural language input and PDF upload.

React fastAPI scikit learn Gradient Boosting OpenAI API PostgreSQL Dashboards PDF Processing

AI Model Fine-Tuning

Scaletech Solutions

Fine-tuned Mistral-7B-Instruct via QLoRA to extract structured financial data from emails/SMS, producing clean JSON outputs with 10+ fields. Fine-tuned Qwen2.5-3B with attention-only LoRA (r=16) on 1,800+ samples to generate context-aware legal emails with multi-language output and structured prompt templates.

Mistral UnSloth QLoRA LoRAs JSON Early Stopping Cosine LR Scheduling

Inventory Management System

Qurious Click Digital Agency

Built a full-stack inventory system for product and stock tracking across warehouses using FastAPI, PostgreSQL, and Docker, including REST APIs and JWT-based authentication with immutable stock ledgers. Integrated ML-powered demand forecasting and product recommendation modules to support inventory decisions.