I’m a Software Engineer with 4.5+ years of experience in full-stack development, microservices, and large-scale communication platforms. I’ve worked on impactful systems at Kaleyra and Cimpress, building intuitive UIs, scalable backend services, and configuration-driven solutions.
I enjoy solving real problems, learning new technologies, and building products that are clean, reliable, and user-friendly. I also spent five years volunteering with Make A Difference, which helped strengthen my communication and leadership skills.
You’ll find links to my resume, GitHub, and LinkedIn below. Feel free to reach out through the contact section—I’d be happy to connect!
My Linkedin My GithubSenior Software Engineer (Sep 2022 – Present)
Worked on Kaleyra’s omnichannel communication platform, contributing to WhatsApp, SMS, and Voice campaign modules.
Designed and developed intuitive UI features that help businesses launch large-scale messaging campaigns across multiple channels.
Consistently delivered high-quality features and received top performance ratings.
Full Stack Developer (Aug 2021 – Aug 2022)
Built and enhanced microservices for order management and production-entity tracking for mass-customized products.
Designed configuration-driven backend solutions that simplified new business-process onboarding and improved operational workflows.
Academic Volunteer (Aug 2018 – Aug 2023)
Conducted weekly learning sessions for children in shelter homes and mentored new volunteers.
Built strong leadership, empathy, and communication skills through five years of volunteering.
Designed and developed the Campaigns Module UI for WhatsApp, Voice, and SMS on the Kaleyra.io platform, enabling global businesses to launch large-scale messaging campaigns.
Built and maintained the Production Entity Tracker API & UI, and enhanced Order Service workflows, improving end-to-end tracking for manufacturing and onboarding processes.
A conversational chatbot built using RASA and Python capable of providing real-time timezone information for cities across the world.
A deep learning model built using CNN + Transfer Learning to classify food items from images with high accuracy.
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