PIYUSH BHONDAVE

Software Engineer

Pune, Maharashtra, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Improved L1 support efficiency by ~20%
Automated 100+ weekly operational tasks, saving ~40% time
Accelerated RAG pipeline setup from weeks to hours

Stackforce AI infers this person is a SaaS-focused Full-Stack Engineer with strong AI and backend capabilities.

Contact

piyushbhondave789@gmail.com LinkedIn

Skills

Core Skills

BackendFull-stackArtificial Intelligence (ai)Machine Learning

Other Skills

PythonFastAPIAngularNode.jsExpressMongoDBWeaviateAIOAuth 2.0NLPDatabasesJavaGitDockerApache Kafka

About

Software Engineer with experience building scalable backend systems, full-stack platforms, and AI-driven automation solutions. I enjoy solving engineering problems, designing clean architectures, and delivering systems that improve efficiency and user experience. At Cisco, I work across backend services, UI development, and AI workflows — using Python (FastAPI), Angular 18, Node.js/Express, MongoDB, and Weaviate. I’ve contributed to automation tooling, RAG-based support systems, and a platform that accelerates RAG pipeline setup from weeks to hours. Key impact includes improving L1 support efficiency by ~20%, automating 100+ weekly operational tasks (~40% time saved), and building components that enable scalable data and search workflows. I’m focused on continuously improving my engineering fundamentals and building reliable, high-impact systems.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Cisco

2 roles

Software Engineer

Aug 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

DATA INGESTION & RETRIEVAL PLATFORM
Contributed to a data workflow platform that accelerated RAG data pipeline creation from weeks to a few hours.
Built UI components in Angular 18 for configuring pipelines, running search tests, and monitoring execution logs.
Integrated UI with backend microservices using a Node.js/Express middleware for secure API communication.
Built dashboards to visualize pipeline execution, status, and system logs in real-time.
Developed a FastAPI microservice for document ingestion backed by Weaviate (vector DB) and MongoDB.
Built common modules for embedding workflows and standardized connectivity to Weaviate and MongoDB.
Created unit & integration tests to ensure API reliability and reduce maintenance overhead.
CLOUD DATABASES TEAM
Developed a Cloud DB AI assistant using internal RAG frameworks, helping reduce common L1 support cases by ~20%.
Integrated MCP (Model Context Protocol) and internal search APIs to enable dynamic querying of database and knowledge systems.
Built a Python automation to sync 100+ weekly Change Requests from ServiceNow to Outlook via Microsoft Graph API, improving planning efficiency by ~40%.
Implemented secure OAuth 2.0 token management and end-to-end scheduling workflows for automated CR updates.

PythonFastAPIAngularNode.jsExpressMongoDB+3

Software Engineer Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Designed and implemented an end-to-end automated pipeline to cluster IT support cases using NLP and ML techniques.
Applied UMAP for dimensionality reduction and HDBSCAN for high-quality clustering of support tickets.
Built workflow automation to preprocess text, extract embeddings, and generate cluster insights for support teams.

Machine LearningNLPDatabases