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Omkar Subhash Parab

Building backend systems used in production and improving team productivity.

Backend / Full-Stack Developer (2+ Years Experience)

Python · Flask · Django · FastAPI · React · REST APIs · JWT · OCR · Payments · Linux Hosting

I build production-ready backend systems and full-stack applications, with hands-on experience in fintech platforms, OCR automation, and real-world deployments.

📄 Resume: Download PDF

What I Do

  • Build scalable backend APIs using Django, Django REST Framework, Flask, and FastAPI
  • Design secure authentication, authorization, and RBAC workflows
  • Develop OCR and PDF data extraction systems for enterprise use cases
  • Build and integrate full-stack modules using React + backend APIs
  • Integrate and secure payment gateways like Razorpay and Cashfree
  • Deploy and debug applications on Linux servers with Nginx & Gunicorn

Key Work & Projects

Internal Process Automation Tool (Rapid Delivery)

  • Python, Flask, SQLite, JS, File System I/O
  • Built a lightweight web application in ~1 hour to assist process teams with data entry
  • Enabled capturing applicant photos, cropping them in-browser, and submitting with required information
  • Implemented non-blocking workflow to:
  • Save images to the organization’s network drive
  • Upload and index images using a predefined reference number
  • Used SQLite for fast local persistence
  • Tool is actively used with 14,000+ entries recorded without failures
  • Improved process efficiency without interrupting ongoing data entry operations

HRMS (Human Resource Management System)

  • React, REST APIs
  • Developed reusable UI modules for attendance, leave, and employee workflows
  • Built and deployed the employee onboarding module used for real internal onboarding
  • Integrated onboarding flows with backend APIs for capturing employee details
  • Focused on clean UI structure, data validation, and maintainable component design

ImperaCam – OCR & PDF Data Extraction

  • Python, Flask, OCR, PDF table extraction
  • Extracted structured tabular data from scanned bank statements
  • Reduced manual effort through automation
  • Integrated OCR into existing enterprise workflows

Payments & Integrations

  • Razorpay & Cashfree
  • Implemented payment flows with webhook signature verification
  • Integrated external APIs including Shopify Admin APIs

Loan Origination & Disbursal Systems (Fintech)

  • Django, DRF, React
  • Built loan origination and personal loan disbursal modules used internally
  • Implemented multi-step workflows, approvals, and backend validations
  • Worked closely with business teams to refine functional flows

Independent Projects (Pre-Industry)

TheLekhani.com – Marathi Content Sharing Platform

  • Django, Tailwind CSS, HTMX, AWS S3, VPS
  • Built a content sharing platform focused on Marathi-language content
  • Implemented user-generated posts with dynamic interactions using HTMX
  • Deployed on DigitalOcean VPS
  • Used AWS S3 bucket for remote media storage
  • Live: https://thelekhani.com

Modi Lipi Converter – Devanagari to Modi Script

  • Django, Tailwind CSS
  • Web application to convert Devanagari text into Modi script
  • Designed for linguistic and historical use cases
  • Publicly published and organically reached 24,000+ impressions
  • Received 1,000+ real user visits without crashes or downtime
  • Hosted on PythonAnywhere
  • Live: https://modilipi.pythonanywhere.com/

Experience Snapshot

  • 2+ years of hands-on development experience
  • Worked on production fintech and enterprise applications
  • Comfortable with backend-heavy systems and real production issues
  • Experience deploying apps on DigitalOcean and AWS S3
  • Contributor to Django Marathi localization (open source)

Open Source

  • Contributor and coordinator for Django Marathi language translation
  • Official Django localization project
  • Managed translations using Transifex

AI / LLM Experiments (Learning)

ImperaStack Assistant – RAG-based QA Prototype

  • Python, SentenceTransformers, HuggingFace Transformers
  • Built a small Retrieval-Augmented Generation (RAG) prototype for answering questions from internal documents
  • Used all-MiniLM-L6-v2 for embeddings and Flan-T5-Small for text generation
  • Implemented document retrieval + generation pipeline to study retrieval quality and response behavior
  • Live Demo: https://imperastackassistant.streamlit.app/
  • GitHub: https://github.com/ImOmkar/ImperaStack-Assistant

Tech Stack

Backend: Python, Django, Flask, FastAPI
Frontend: React, JavaScript, Tailwind CSS
APIs: REST, JWT Authentication, RBAC
Databases: PostgreSQL, MySQL, SQLite
OCR / Automation: Tesseract OCR, PDF Data Extraction
DevOps: Linux, Nginx, Gunicorn, DigitalOcean, AWS S3
Tools: Git, GitHub, Postman

Contact

  • Resume: Download PDF
  • GitHub: https://github.com/ImOmkar
  • Email: omkar211196@gmail.com
  • Location: Mira Road, Mumbai, India