I want three things: distributed systems with real scale, a seat at the HLD/LLD design table, and complete ownership of what I ship — from architecture through release and production. Plus an AI-native team: I build with AI agents daily and built my own AI assistant from scratch.
Open to opportunities
Abhinav Verma
@blagawuga
Full Stack Dev (5+ yrs) | Senior engineer on Entrupy's billing platform | Built my own AI assistant & home AI system from scratch | Open to remote
IndiaWhat I'm looking for
I'm a Full Stack Developer with 5+ years building and running production systems end to end — backend infrastructure on AWS (ECS, Lambda, DynamoDB) to customer-facing web apps in React and Node.
Currently the senior engineer on Entrupy's Billing team, where I own the engine that invoices every customer daily, drive observability on scheduled billing runs, and architected the customer-facing Account Hub billing webapp backend from scratch through GA launch.
I partner with Finance, RevOps, and Support, and mentor junior engineers. What sets me apart: I build with AI, not just use it. I built my own AI assistant and an entire home AI system from scratch, wire up n8n automation workflows, and ship small local tools like a job-application tracker — fluent in prompt and context engineering with Pi.
If it can be automated or made smarter, I've probably already tried. Open to remote roles where I get to build.
Experience
Work history, roles, and key accomplishments
EN
Current
Built and operate the daily invoice-closure billing engine for ChargeBee, implementing enterprise billing contracts and a prepaid credits bucket system. Architected the customer-facing Account Hub billing webapp backend and led end-to-end reliability on AWS.
Led uplift of Cisco Secure Web Gateway components for FedRAMP compliance and developed large-scale applications on Kubernetes with AWS serverless components. Uplifted the complete Cloudlock web app from Angular 1.x to Angular 2.x.
TR
Contributed to development, planning, and architecture of multiple feature releases for Trellix Insights, including leading the Defensive Playbooks MVP and developing graphical modules for targeted attack visualization.
MC
Integrated and developed APIs for Insights ePO running on Java JAX-RS framework and developed Python automation test suites for MVISION Insights.
MC
Developed and implemented MUD profiles for IoT security, including TLS-based MUD profiles and device fingerprinting using network flow attributes.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Dharwad
B.Tech, Computer Science and Engineering
2016 - 2020
Grade: 8.09/10.0
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.09 out of 10.0.
Tech stack
Software and tools used professionally
Availability
Open to opportunities
Location
IndiaAuthorized to work in
Salary expectations
4991k+ INR
Social media
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