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Apoorv Dixit

@apoorvdixit

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Backend-focused full-stack software engineer who ships production APIs and automation using real usage data.

India

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What I'm looking for

I’m looking for a backend-focused full-stack role where I can ship production APIs, build data-driven features, and own end-to-end architecture with strong engineering feedback.

I’m a backend-focused full-stack software engineer who’s designed, built, and shipped 10+ full-stack products as a Freelance developer. I own architecture and backend logic end-to-end, and I iterate using real production usage data to debug and prioritize fixes confidently.

My work blends engineering and data: I built an automation pipeline with Node.js, Playwright, and Supabase to detect ad-running businesses, then integrated AWS Bedrock LLMs to generate website audits, personalized outreach copy, and Loom scripts. I also built a Python Reddit sentiment research tool using the Reddit API and NLP-based text clustering to turn high-volume discussions into structured themes for product discovery.

I enjoy building user-facing systems with measurable outcomes—like a behavior tracking platform where I defined and implemented engagement/retention metrics from raw event data, and SEO-optimized lawyer profile pages that went from page 4 to page 1 and generated 100K+ impressions without paid ads. I’m energized by turning messy inputs into reliable pipelines and practical product leverage, from technical architecture to GTM insights.

Experience

Work history, roles, and key accomplishments

Business Development Intern

Veritus

Nov 2025 - Dec 2025 (1 month)

Queried and segmented CRM/outreach data to identify three underserved customer segments across two AI products, informing GTM prioritization.

Customer Segmentation

Full-Stack Developer

Freelance

May 2021 - Jan 2024 (2 years 8 months)

Designed, built, and shipped 10+ full-stack products across SaaS, legal-tech, and healthcare, owning architecture and backend logic end-to-end. Built and integrated APIs and debugged production issues using real usage data.

Full Stack API Integration Backend Development Architecture Debugging

Reddit Sentiment Tool

Built a Python data pipeline pulling Reddit discussion data via the Reddit API and applying NLP-based text clustering to surface recurring complaints and pain points. Converted unstructured, high-volume discussions into structured themes to support product discovery.

Python Data Pipelines NLP Clustering Thematic Analysis Product Discovery

AdIntel Automation Pipeline

AdIntel

Built an automation pipeline to detect businesses running Google/Meta ads by scraping and parsing target website URLs, then generating audits and outreach assets. Integrated AWS Bedrock LLMs to produce website audits, personalized outreach copy, and Loom scripts from scraped data.

Playwright Web Scraping URL Parsing

BangLaw.in Digital Identity

BangLaw.in

Built and deployed SEO-optimized profile pages for 7+ lawyers using structured content and schema markup without paid ads. Improved organic rankings from page 4 to page 1 and generated 100K+ impressions.

SEO Optimization Structured Content Deploying

Lavv.me Behavior Tracking

Lavv.me

Built a full-stack web app for tracking productivity, focus, and habit data over time, including event-tracking and analytics logic. Defined and implemented engagement/retention metrics computed from raw behavioral event data.

Full Stack Web Development Event Tracking And Engagement Metrics Retention