I'm a Software Engineer with 3+ years of experience at Cisco and a background in Computer Science at NC State University. My work centers on scalable backend systems, object-oriented design, and practical automation, with C/C++ and Python as my core languages.
I enjoy building software that connects reliable backend services with useful applications, from enterprise microservices and data processing to AI-assisted planning, event-driven automation, and IoT systems.
- Backend Engineering & Distributed Systems
- AI-Assisted Applications & Workflow Automation
- Object-Oriented Design & System Optimization
- Reliable APIs, Test-Driven Development & Cloud Services
Sprintwise β AI Jira Sprint Planner π
- Built a Next.js, TypeScript, and FastAPI application that turns Confluence requirements and Jira delivery history into proposed sprint stories.
- Combined OpenAI-generated requirements and embeddings with deterministic Python estimates and capacity-aware assignments, with human review before ticket creation.
Matchday β Soccer2Cricket π
- Built a sports analytics application that finds football matches with a similar statistical story to a cricket match using Cricsheet and StatsBomb data.
- Used Python, FastAPI, SQLite, and JavaScript for match search and explainable comparisons based on result closeness, individual contribution, and late attacking activity.
Job Mail Manager β Gmail Classifier π
- Built a Python daemon that processes Gmail notifications through Google Cloud Pub/Sub and organizes job-related emails into application, interview, recruiter, and other labels.
- Combined subject rules with local LLM inference through LM Studio, using SQLite for durable work queues, Pydantic validation, and retries for provider failures.
ParkHelp β Smart Parking System π
- Connected Raspberry Pi cameras and distance sensors, AWS Lambda predictions, and two iOS applications over MQTT to monitor parking availability.
- Added a verification flow that flags disagreements between sensor readings and image predictions for review in the controller app.
RecipeRecommender β Collaborative Full-Stack Project π
- Collaborated on a React, Node.js, Express, and MongoDB application for discovering recipes by ingredients and cuisine, with recipe creation and personal bookmarks.
- The project integrates Auth0 sign-in, an OpenAI-powered recipe assistant, and API testing with Jest, Chai, and Supertest.
Programming:
C, C++, Python, JavaScript, TypeScript, SQL, HTML/CSS
Software Development & Backend:
Object-Oriented Design, Design Patterns, Microservices, REST APIs, FastAPI, Node.js, Express
Frontend:
React, Next.js, Vite
AI & Automation:
OpenAI API, Embeddings, Local LLM Inference, LM Studio, Structured Output Validation, Event-Driven Workflows
Databases, Cloud & IoT:
PostgreSQL, SQLite, MongoDB, AWS, AWS Lambda, Azure, Google Cloud Pub/Sub, Raspberry Pi, MQTT
Engineering Practices & Tools:
Linux, Git, Docker, CI/CD, Test-Driven Development, Unit Testing, pytest, Jest
Cisco β Software Engineer
August 2021 β July 2024
- Developed C/C++ backend microservices and data processing components for enterprise platforms serving 16M+ active users.
- Worked on low-latency data flows, system optimization, and modular software design across distributed Linux environments.
Cisco β Technical Undergraduate Intern
February 2021 β July 2021
- Worked on backend streaming infrastructure, memory and CPU optimization, and pytest-based unit testing.
North Carolina State University
Master of Computer Science | August 2024 β May 2026
R.V. College of Engineering
Bachelor of Engineering | August 2017 β July 2021
- LinkedIn: snehilbehar
- GitHub: snehilbehar
- Email: snehilbehar@gmail.com
β Open to Software Engineering opportunities where I can build reliable backend systems, solve performance challenges, and develop useful automation.
