Priyanshi S.

Backend Engineer

Jammu, Kashmir, India2 yrs 6 mos experience

Highly StableAI Enabled

Key Highlights

Created AI-driven voice agents for healthcare solutions.
Developed scalable backend systems using Django and Python.
Integrated third-party APIs for enhanced application functionality.

Stackforce AI infers this person is a Backend-heavy Fullstack developer specializing in Healthcare and Fintech solutions.

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Skills

Core Skills

Python (programming Language)DjangoMongodbLangchainAsanaSqlFastapiReact.js

Other Skills

CeleryChatbot DevelopmentCommunicationData StructuresDjango REST FrameworkGitGitHubHTML5JavaScriptNo-Code Development PlatformsOpenAIOpenAI assistantPostgreSQLTwilioVoice agent

About

With 3 years of experience in software development, I've delivered high-quality solutions leveraging my technical expertise. My experience includes designing and implementing scalable backend systems, integrating third-party APIs, and developing AI-powered applications. - **Backend Development:** Proficient in Python, Django, and RESTful API design - *Database Management:* Experienced with PostgreSQL and MongoDB - *Cloud Platforms:* Worked with AWS for scalable and secure deployments - *No-Code Automation:* Familiar with N8N, Zapier, and make.com for workflow automation - *AI/ML Integration:* Utilized ElevenLabs and Vapi for AI-powered voice agents and Utilized LangChain and Faiss vector store for chatbot and integrated Open AI Assistants. - *API Integration:* Successfully integrated third-party APIs to enhance application functionality - *Task Queue Management:* Experienced with Celery Beat and Celery Workers for efficient task management - *Mobile and Web Applications:* Developed RESTful APIs and web applications using Django

Experience

Snakescript solutions llp

Back End Developer

Sep 2023 – Present · 2 yrs 6 mos · Mohali district, India · On-site

Voice agent
Created AI driven voice agent for appointment booking and resolving user queries using twilio, LLM, webhooks, prompt engineering on Eleven labs and Vapi.
RAG based Chatbot using Mongodb vector store with 50 Gb files data.
Implemented RAG based AI Chatbot using Mongodb vector indexes utilizing LangChain and LangGraph Nodes.
AI-Driven Support Center (Django, LangChain, LangGraph , Celery, Openai, JS Streaming)
Built real-time LangChain chatbot with file support
Used Celery for async task handling – create/update/delete with zero lag
Implemented JS + Django HTTP streaming for real-time chatbot responses
Integrated Asana API for auto ticket creation and workflow automation
Focused on modular, high-performance architecture with maintainable code
XinconCare Portals (Django, Async, Asana, Zoho)
Built 4 custom portals (Admin, HHA, MLTC, NP) with role-specific workflows
Linked HHA tickets with Asana, with live sync and status updates
Developed NP timesheets, invoices, and referral flows (3-step Zoho-style)
Handled bulk billing and invoice creation with async task
Created mobile APIs for notifications, Q&A, and support center
Daily Service Monitoring (Django, SQL, Crontab)
Synced HHA Exchange check-in/out with internal timesheets for accuracy
Detected missed logs dynamically and triggered real-time SMS alerts
Pushed FCM notifications using Firebase tokens for instant updates
Deployed 2 crontabs for automated monitoring and reporting
Used raw SQL for high-performance data validation and reporting
HUMA Workflow System (FastAPI, OneDrive, MongoDB)
Built FastAPI microservices for OneDrive file picker and secure access
Handled OAuth2 token refresh and secure file operations
Modified workflow engine to support template-based triggers
Used MongoDB for storing workflows and user action history

Python (Programming Language)DjangoMongoDBLangChainCeleryOpenAI+1

Financepeer

Full Stack Developer

Jul 2022 – May 2023 · 10 mos · Hyderabad, Telangana, India · On-site

Automated user notifications in form of messages via SMS and WhatsApp messages with dynamic sms templates with scheduled tasks for different signup stages in the mobile app.
Developed RESTful APIs for seamless backend integration with the mobile app.
Built interactive React.js dashboards and pages for real-time data visualization.
Implemented and managed backend cron jobs for scheduled tasks, automated notifications, and data processing, ensuring timely execution and reliability.
Optimized Django code, reducing dashboard load time and improving performance.
Implemented caching for faster transaction displays, enhancing user experience.

Python (Programming Language)DjangoReact.js