Prajwal Suryawanshi

I love building technology that solves real-world problems and makes people's lives easier by transforming complexity into simplicity at scale.

Data Science | Backend Developer

Currently learning Data Science from IIT Madras.

Nanded, Maharashtra

prajwal221104@gmail.com

Fun fact: I am also a good chess player.

LinkedIn GitHub Kaggle LeetCode Instagram HackerRank

Summary

Backend Developer with 2 years of experience in Python/Django/Flask, cloud deployment (AWS/GCP), and microservices, building scalable and secure APIs.

Key Achievements

Education

IIT Madras — B.S in Data Science & Applications (2023 – 2027)

Coursework: Software Development, Machine Learning, Data Structures, Statistical Methods.

Experience

Dom Ventas (Broadwing Labs) — Full Stack Engineer

May 2026 – Present

  • Building and maintaining a multi-tenant B2B SaaS eCommerce platform for online sellers.
  • Developing scalable frontend and backend features, REST APIs, and tenant-aware architecture for production applications.
  • Collaborating across the stack to deliver secure, high-performance, and scalable product features.

CRUV — AI & Backend

Apr 2026 – May 2026

  • Reduced end-to-end voice AI latency by 65–70%, from 3 seconds to under 1 second.
  • Built data ingestion pipelines integrating Google Sheets, APIs, and webhooks for insurance and BFSI workflows.
  • Reduced AI inference costs by 53% through model and pipeline optimization.
  • Integrated Twilio telephony for inbound, outbound, and voice workflows.

DV40 CRM System — Freelance Backend Developer

Dec 2025 – Mar 2026

  • Built the backend for a CRM system handling 10K+ enquiries for a coaching institute.
  • Ensured system reliability and performance for continuous business operations.
  • Collaborated with a mobile app developer to deliver a production-ready application.

Techorigins Pvt. Ltd. — Software Developer

Sept 2025 – Nov 2025

UsedAutoPartsPro.com Marketplace

  • Developed the complete backend for a used-auto-parts marketplace using Django, DRF, and WebSockets.
  • Served a growing base of monthly active users with reliability and performance focus.
  • Designed and integrated an LLM-powered RAG workflow for more accurate chatbot responses.
  • Prompt engineered the AI for relevant consumer-facing responses.
  • Built a real-time data retrieval pipeline for external web sources.
  • Integrated the LLM with platform data for dynamic responses.

Projects

AgentAPI — Open Source

Docs GitHub PyPI

  • FastAPI-style developer experience for agent backends, with one Agent interface across providers.
  • Supports OpenAI, Gemini, and OpenRouter, plus custom providers and plain-Python tool functions.
  • Built-in memory and automatic SSE streaming from @app.chat when handlers return async iterators.
  • Stack: Python, Agentic AI, LLM provider abstraction, tool-calling workflows.

MarkMyMeet — Backend Developer

  • Engineered a scalable appointment booking platform with near real-time updates.
  • Designed a queue management system tested at MVP-scale concurrency.
  • Implemented secure authentication via Google OAuth 2.0 and RBAC.
  • Collaborated in Agile sprints to deliver features faster and more reliably.
  • Stack: Django, DRF, OAuth, AWS, PostgreSQL, Pytest.

Dineme.in

  • Developed a cloud-based restaurant POS system using Next.js, FastAPI, and PostgreSQL.
  • Launched a mobile app supporting restaurant staff operations.
  • Built RBAC for Manager, Waiter, Chef, reducing operational errors.
  • Integrated GST-compliant billing and analytics, reducing manual calculations.

QuizMaster

  • Built a gamified quiz platform for admins and learners.
  • Developed an admin panel for CRUD and performance tracking.
  • Implemented secure password encryption with werkzeug.security.
  • Integrated Chart.js for performance insights.
  • Stack: Flask, SQLite, Bootstrap, Chart.js, Postman, Pytest.

Proof & Metrics

Engineering Notes

AgentAPI

  • Open-source Python framework for building agentic AI backends with minimal setup and clean abstractions.
  • Core features: provider abstraction, tool calling, memory loop, streaming-first APIs, and CLI scaffolding.
  • Links: Documentation, GitHub, PyPI.

MarkMyMeet

  • Queue state modeled for near real-time updates and reliable ordering.
  • Auth flow built with Google OAuth 2.0 and role-based access.
  • API designed in Django/DRF with PostgreSQL for transactional data.

Dineme.in

  • FastAPI backend with PostgreSQL for order and billing data.
  • RBAC for manager, waiter, chef to reduce operational errors.
  • GST-compliant billing and analytics for restaurant reporting.

UsedAutoPartsPro.com Marketplace

  • RAG workflow integrated for more accurate chatbot responses.
  • Real-time retrieval pipeline to fetch external data sources.
  • Platform data integration for dynamic, context-aware answers.

Code: GitHub profile

Technical Skills

Languages: Python, JavaScript (React.js)

Backend & APIs: Python, Django, Flask, FastAPI, REST, Microservices

Data & Visualization: SQL, PostgreSQL, MongoDB, Chart.js

Cloud & DevOps: AWS, GCP, Docker, Kubernetes, CI/CD