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Full Stack Engineer

I build
things that
scale. ship. matter.

Full stack engineer crafting AI-powered pipelines, backend systems, and clean frontend experiences. Based in India, building for the world.

See my work Get in touch
RP
Rahul Parlani
@ Wokelo AI · Indore, India
Python Django React LLMs Celery
About me

Engineer by craft,
builder by nature.

Hey, I'm Rahul Parlani — a 24-year-old full stack engineer from India. I started with MERN stack projects in college and fell deep into backend systems, AI pipelines, and distributed architecture.

For the past 2.5 years at Wokelo AI, I've been building production systems that process thousands of companies daily — from LLM-powered newsletter pipelines to real-time transaction detection. I love working at the intersection of AI and scalable engineering.

When I'm not coding, I'm probably at gym, playing games, chilling, or thinking about the next thing to build.

View Resume ↗ GitHub ↗ LinkedIn ↗
RP
⚡
2+ years
Building production systems at scale
🤖
AI-first
LLMs, embeddings & vector pipelines
🛠
Full stack
Django + React + Celery
📍
Indore, India
Open to remote worldwide
Currently Full Stack Engineer @ Wokelo AI
Experience
Full Stack Engineer
Mar 2024 — Present
Wokelo AI  ·  Full-time  ·  Indore, India
AI & Data Pipelines
  • →Built and maintained a daily newsletter pipeline (380+ companies) and a weekly pipeline (7,000+ companies & industries) — firing 10,000+ Celery tasks per run, with each insight task optimized to complete within 120 seconds
  • →Built transaction detection pipeline (M&A, IPO, fundraising) — maps relevant companies, validates data using AI and surfaces results live via WebSockets
  • →Implemented semantic news clustering that groups company news by similarity and generates structured narrative insights using LLMs (Claude Sonnet)
  • →Built Glassdoor pipeline — scrapes data via vendor API, generates AI-powered insights, runs incrementally using binary search to minimize vendor calls and avoid redundant processing
  • →Implemented RSS news scraping and tagging pipeline — hits RSS feeds, saves scraped content to DB, tags articles by news type using AI, and integrated Google RSS URL decoder
  • →Integrated Datagardener financial data for UK-based companies — processes and presents structured financials inside the report system
  • →Developed quarterly Portfolio Digest pipeline aggregating multi-source data (Crunchbase, LinkedIn, Glassdoor, YouTube transcripts) into structured Lexical reports delivered to clients every quarter
  • →Built a YouTube pipeline — sources articles from YT for a query, scrapes transcripts, generates positive/negative/most-discussed insights using multi-step AI orchestration
Full Stack Development
  • →Owned the Sandbox internal tool end-to-end (~95% of code) — 100+ high-performance Django APIs and a React frontend with dynamic JSON-driven form generation, used daily by the CS team
  • →Built a complex Admin/Super Admin panel with infinite scroll, clickable charts, advanced filtering/sorting and high-volume ORM-optimized queries
  • →Implemented Lexical-based filtering, sorting and Ask AI on reports — users select any node and query it inline, similar to Notion AI
  • →Integrated Mailchimp template engine, Pipedrive CRM auto-fill (scrapes LinkedIn + Crunchbase on form submit), Affinity CRM webhooks and Custify views
  • →Built an email manager that sends emails on different triggers based on conditions — task-based Celery approach using ORM across multiple PostgreSQL tables
  • →Built a cron-based scheduler whose tasks trigger hourly — capable of firing APIs, Celery tasks and newsletters on custom analysis periods
Performance & Ownership
  • →Improved API response times by 5× through ORM query optimization, bulk operations, caching and multithreading across distributed and non-distributed PostgreSQL deployments
  • →Implemented Slack alerting, structured logging and source traceability across the codebase — improving observability across all pipelines
  • →Refactored core news tagging to a new taxonomy across the entire codebase; implemented credits system across all core report components
  • →Covered 50%+ of sprint deliverables solo during team absences across a 10-person team; maintained production pipelines with 15–20 min hotfix SLAs
Python Django Celery FastAPI React PostgreSQL Redis LLMs Vector DB Embeddings Lexical WebSockets RSS
Software Engineer Intern
Nov 2023 — Mar 2024
Wokelo AI  ·  Internship
  • →Built the initial Market Mapping pipeline — used vector databases, embeddings and AI to source and score companies from Crunchbase, filtered by user input and surfaced into reports
  • →Developed complex interactive charts using Altair to visualize company and market intelligence data inside the core report system
  • →Contributed to React frontend development — built UI components and resolved bugs across the main application

Python React Altair Embeddings Crunchbase API
Full Stack Developer Intern
Jan 2023 — Mar 2023
The Mango Jelly  ·  Internship
  • →Designed complex data models and built RESTful API controllers and routes in close collaboration with the CTO
  • →Implemented JWT authentication and authorization with validators; integrated Redis, Mailgun and Google Analytics API

Node.js Express MongoDB Redis JWT
Full Stack Developer Intern
Jul 2022 — Sep 2022
Meepleton Board Game Cafe  ·  Internship
  • →Built a fully functional website from scratch using MERN stack — working closely with the CEO, hosted on Netlify and indexed on Google
  • →Developed an admin panel supporting full CRUD operations across different schemas; integrated Google Books API and Google Indexer API
  • →Used JWT authentication and authorization in routes along with setting up validators

React Node.js Express MongoDB JWT Google API
Projects
Pulse
In progress
GitHub ↗

Your personal AI news briefing — aggregates dev newsletters, Reddit, Twitter and GitHub into one deduplicated, interest-filtered daily digest.

  • →Ingests newsletters from multiple big tech newsletter providers directly from your inbox — no manual curation needed
  • →Pulls from Reddit subreddits, Twitter/X dev accounts and GitHub trending — all sources deduplicated and scored by relevance to your interest profile
  • →AI-powered insight extraction and summarization — surfaces what actually matters, skips the noise
  • →Delivered as a clean daily digest — week by week more sources, smarter filtering, better signal
Python FastAPI LLMs Embeddings Celery PostgreSQL Reddit API Twitter API React
Meepleton
Live
Live site ↗ GitHub ↗

Full-stack product for a board game café — interactive dashboard, invoice generator, CMS, role-based auth, real-time chat and table reservation system.

  • →Built the entire product from scratch with MERN stack — working closely with the CEO, hosted on Netlify and indexed on Google
  • →JWT authentication with role-based authorization — admins, sub-admins and users each get a different experience
  • →Admin dashboard with Apex Charts, complex Mongoose schemas with pagination, server-side paginated product catalog with reviews and ratings
  • →Real-time chat using WebSockets and a table reservation system — live and used by actual customers
  • →Integrated Google Books API and Google Indexer API for catalog enrichment and SEO
React Node.js Express MongoDB JWT WebSockets Apex Charts Netlify Google API
Skills & Technologies
⚙️
Backend
🤖
AI & Pipelines
🖥️
Frontend
📈
Scalability
Backend
🐍
Python
Primary language across all production systems
🟢
Django & Django ORM
100+ APIs, complex queries, bulk optimizations
🐘
PostgreSQL
Distributed & non-distributed at scale
🔌
REST API Development
High-performance, production-grade APIs serving real-time client data
AI & Data Pipelines
🧠
LLM Orchestration & Prompt Engineering
Multi-step AI workflows, task chaining at scale
⚡
AI-powered Data Pipelines
10k+ Celery tasks, insight generation, real-time delivery
🔍
Vector Databases & Embeddings
Semantic search, similarity scoring, RAG
Frontend
⚛️
React
Complex UIs, hooks, reusable component systems
📝
Lexical Editor
Advanced — custom nodes, Ask AI, inline filtering
🔷
TypeScript
Typed React apps and API contracts
Scalability
📈
Performance Optimization & Scalable Systems
5× API improvements via ORM tuning, bulk ops, caching, multithreading — built systems that process thousands of companies daily without breaking
Contact

Let's build something
great together.

Open to full-time roles, freelance projects, and interesting conversations. If you have something worth building — I want to hear about it.

Send me an email LinkedIn ↗
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