Parth Bhodia
Full Stack Engineer @ Eccalon, LLC
About
Full-Stack Engineer at Eccalon, shipping production-grade MVT/MVC apps with Node.js, Python, and Vue/React. I work across the full stack — from Django REST and FastAPI backends to pixel-perfect, accessible frontends — and I integrate AI into everything I build. Recently dove deep into MCP (Model Context Protocol) integrations, connecting LLMs to real-world tools and data sources to build genuinely useful AI-powered workflows. Combined with AWS Bedrock and Claude Code in my daily development loop, I've cut boilerplate dramatically and ship faster without sacrificing quality. Master's in CS from UMBC, where I built a real-time GIS anomaly detection framework using Elasticsearch + Kibana — turning distributed microservice data into live, interactive insights. I speak SQL, MongoDB, GraphQL, and cloud fluently. Automation, clean architecture, and clever data wrangling with Pandas/NumPy are my comfort zone. Big believer that the best engineers don't just write code — they build systems that think.
United States
Jersey City
Computer Software
Gen AI, Amazon Web Services (AWS), Vue Js, Nuxt.js, Ajile, REST APIs, Amazon Dynamodb, SCSS, Back-End Web Development, Interpersonal Skills, Cascading Style Sheets (CSS), Optimization, Webflow, Communication, Content Management Systems (CMS), Time Management, Web Design, Responsive Web Design, Gitlab, Linux
Experience

Graduate Research Assistant
Baltimore, Maryland, United States
Developed a framework for GIS-based visualization using Elastic Search and Kibana . During this project, I gained a deep understanding of Elastic Search’s powerful search capabilities, its scalability, and how it can be used to store and visualize large volumes of data in real-time using Kibana.

Software Engineer
Mumbai Area, India
• Led front-end development of a dashboard to track Monitor Application Usage and Users activity, limiting access to different job roles while managing security for thousands of users. • Automated the Process to get Latency from Catchpoint Server and made Restful API Calls to get the traffic of peers and Customers from company routers using shell scripts. •Spearheaded a Network diagram tool to visualize the ASNs upstreams and downstream from the routing table, leading to a 40% increase in inefficiency. •Developed a Back-Bone Cost Map - Web Application which helped to find the Shortest Hops considering latency and distance available of Tata’s POPs Sites to the Customers.
Education
Parth Bhodia's Contact Information
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