Priyanka Bhadauriya
Open to work2 years experienceBackend Software Engineer
Backend Software Engineer with 2.6+ years of experience.
Standing Rank
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Skills & Technologies
49 skillsWork Experience
Software Engineer
Nucleus Software, Noida
- Developed production-ready AI backend services using Python, FastAPI, LangChain, and LangGraph to build agentic AI applications and LLM-powered workflows.
- Built Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, semantic search, and document ingestion pipelines for enterprise knowledge retrieval.
- Integrated commercial and open-source Large Language Models (LLMs) through API orchestration, prompt engineering, structured outputs, and tool calling.
- Designed scalable backend APIs supporting AI inference, conversation management, document processing, and multi-agent orchestration.
- Optimized AI application performance using Redis caching, asynchronous processing, efficient prompt design, and PostgreSQL query optimization.
- Developed containerized AI microservices with Docker and deployed them on AWS, implementing CI/CD pipelines using GitHub Actions/Jenkins.
- Implemented secure authentication, authorization, and RBAC for AI platforms handling user interactions and enterprise data.
- Monitored and debugged production AI systems by analyzing logs, tracing LLM execution flows, resolving API failures, and reducing latency across inference pipelines.
- Collaborated in Agile teams using Git, code reviews, and automated testing to deliver reliable, scalable AI applications.
Projects
Customer Support AI Agent
- Developed an AI-powered Customer Support Agent using Python, FastAPI, and OpenAI/Gemini APIs to automate customer support workflows through natural language conversations.
- Built a modular backend architecture with dedicated components for agent orchestration, tool calling, session management, and guardrails, enabling maintainable and scalable application design.
- Implemented business tools for order lookup, shipment tracking, refund processing, and human agent escalation, allowing the LLM to execute real-world customer support actions.
- Designed persistent conversation memory to maintain context across multi-turn interactions and deliver coherent responses.
- Developed secure FastAPI REST APIs with structured request validation, logging, error handling, and unit tests, and containerized the application using Docker for deployment.
- Designed configurable prompt templates and system instructions to improve response consistency, enforce business rules, and reduce incorrect or unsupported AI outputs.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
Backend Software Engineer with 2.6+ years of experience building scalable SaaS applications using Python, FastAPI/Node.js, REST APIs, SQL, MongoDB, Docker, AWS, Kubernetes, Git, and CI/CD pipelines.
Bachelor of Technology in Computer Science and Engineering
Pranveer Singh Institute of Technology, Kanpur (2020 - 2024)
Micro Credit–Linked Program in Data Science and Machine Learning
Daksh Gurukul (in collaboration with IIT Guwahati) (2025 - 2026)