Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Languages
Hackerrank Badges
Open Source
Locations
Personal Information
Timeline
Hi, I’m

Rahul Pal

Mumbai,Maharashtra

Summary

Backend Python Developer with hands-on experience building scalable backend systems using Python, Django, and PostgreSQL. Delivered production-grade applications across fintech and community platforms - including RAG-based AI chatbots, retirement planning tools, and portfolio analytics engines - reducing manual processing time by up to 30%. Proficient in REST API design, LLM integration (LangChain, OpenAI), cloud deployment on AWS, and responsive frontend development with Tailwind CSS. Passionate about clean architecture, data-driven features, and secure user experiences.

Overview

1
year of professional experience
1
Certification

Work History

Investigen Technologies
Mumbai

Backend Python Developer
03.2025 - Current

Job overview

  • Built a RAG-based SEBI chatbot using OpenAI embeddings, Pinecone Vector DB, LangChain, and Flask; automated PDF parsing and clause-level text extraction, reducing manual research time by 30% across compliance workflows.
  • Engineered a full-stack retirement planning web application with Flask and PostgreSQL, managing 50+ financial data points per user; implemented SIP projections, inflation adjustments, corpus calculations, and 3-tier investment strategy buckets - generating complete retirement reports in under 3 seconds.
  • Developed a portfolio rebalancing analytics engine (Python + Flask + Pandas + psycopg2) delivering end-to-end risk-return metrics including tracking error, Sharpe ratio, alpha/beta, and benchmark excess returns as formatted HTML reports.
  • Collaborated with cross-functional teams using Agile methodology; maintained clean Git commit history and code reviews across 3+ concurrent feature branches.
  • Engineered full-stack blogging platform with scalable Django backend; implemented slug-based routing, SEO-optimised URL structure, and authentication-driven CRUD workflows.
  • Designed PostgreSQL schema with efficient query handling via Django ORM; integrated OpenGraph metadata and Tailwind CSS responsive frontend for cross-device rendering.
  • Implemented modular content management system supporting dynamic post creation, tagging, and category filtering - reducing average page load by optimising database queries.
  • Conceptualized and delivered a full-stack web application using AI-assisted development tools, covering end-to-end product design including database schema, user authentication, file uploads, and REST API structure.
  • Defined and iterated on 15+ features including digital family tree visualization, matrimonial profile discovery, connection path finder, and a pinch-to-zoom photo viewer - managing the full product lifecycle from idea to deployment.
  • Drove UX decisions around guest access protection, remember-me login, multi-state navigation reset, and role-based access control, ensuring a seamless experience across logged-in and unlogged user flows.
  • Reduced SEBI research time by 30% via RAG chatbot automation
  • Retirement reports in
  • Blogging platform with pure Django SEO routing - zero JS framework overhead
  • 3-tier investment engine replacing manual spreadsheet calculations
  • Financial Technology Services

Education

University of Mumbai

B.Sc. from Information Technology
09.2024

University Overview

Data Structures, DBMS, Web Technologies, Python

Skills

  • Python
  • SQL
  • JavaScript
  • HTML5
  • CSS3
  • Django
  • Flask
  • Django REST Framework
  • Tailwind CSS
  • PostgreSQL
  • MySQL
  • Redis
  • Pinecone
  • LangChain
  • OpenAI API
  • RAG
  • Vector Embeddings
  • Prompt Engineering
  • Pandas
  • NumPy
  • AWS
  • Git
  • Docker
  • REST API
  • Agile

Certification

Python Full Stack Development, QSPIDER, Vasai Branch, 2024-08-01, Python, Django, SQL, HTML, CSS, JavaScript

Accomplishments

Accomplishments
  • Built a RAG-based SEBI chatbot using OpenAI embeddings, Pinecone Vector DB, LangChain, and Flask; automated PDF parsing and clause-level text extraction, reducing manual research time by 30% across compliance workflows.
  • Engineered a full-stack retirement planning web application with Flask and PostgreSQL, managing 50+ financial data points per user; implemented SIP projections, inflation adjustments, corpus calculations, and 3-tier investment strategy buckets - generating complete retirement reports in under 3 seconds.
  • Developed a portfolio rebalancing analytics engine (Python + Flask + Pandas + psycopg2) delivering end-to-end risk-return metrics including tracking error, Sharpe ratio, alpha/beta, and benchmark excess returns as formatted HTML reports.
  • Collaborated with cross-functional teams using Agile methodology; maintained clean Git commit history and code reviews across 3+ concurrent feature branches.
  • Engineered full-stack blogging platform with scalable Django backend; implemented slug-based routing, SEO-optimised URL structure, and authentication-driven CRUD workflows.
  • Designed PostgreSQL schema with efficient query handling via Django ORM; integrated OpenGraph metadata and Tailwind CSS responsive frontend for cross-device rendering.
  • Implemented modular content management system supporting dynamic post creation, tagging, and category filtering - reducing average page load by optimising database queries.
  • Conceptualized and delivered a full-stack web application using AI-assisted development tools, covering end-to-end product design including database schema, user authentication, file uploads, and REST API structure.
  • Defined and iterated on 15+ features including digital family tree visualization, matrimonial profile discovery, connection path finder, and a pinch-to-zoom photo viewer - managing the full product lifecycle from idea to deployment.
  • Drove UX decisions around guest access protection, remember-me login, multi-state navigation reset, and role-based access control, ensuring a seamless experience across logged-in and unlogged user flows.
  • Reduced SEBI research time by 30% via RAG chatbot automation.
  • Retirement reports in
  • Blogging platform with pure Django SEO routing - zero JS framework overhead.
  • 3-tier investment engine replacing manual spreadsheet calculations.

Languages

English
Hindi
Marathi

Hackerrank Badges

Hackerrank Badges
  • Gold - SQL
  • Silver - Python

Open Source

Open Source
Public GitHub repos: Django blogging platform & React family tree app.

Locations

Locations
  • Mumbai, Maharashtra, India
  • Bangalore, Karnataka, India

Personal Information

Personal Information
  • Title: Backend Python Developer
  • Availability: Mumbai | Bangalore, India

Timeline

Backend Python Developer
Investigen Technologies
03.2025 - Current
University of Mumbai
B.Sc. from Information Technology
Rahul Pal