Hi! I'm Bhavik Mehtaa Full Stack DevI design, build, and ship full-stack web appswith AI baked in where it matters.
I build things for the web
I'm a full-stack developer and AI enthusiast. I love turning complex problems into clean, elegant products — from pixel-perfect UIs to robust backends and AI-powered features.
Great software is invisible — it just works. I build with the user in mind first, performance second, and aesthetics always.
My Toolbox
Technologies I work with daily
Frontend
Backend
AI / ML
DevOps
Tools
Databases
Where I've worked
Amdocs
Software Engineer
Sep 2022 – Jul 2024
- — Validated distributed enterprise backend systems written in Java and Python by designing structured test strategies and edge-case scenarios, increasing regression defect detection rate by 30% before production release.
- — Diagnosed runtime and service-level failures in Linux environments by analyzing logs, process behavior, and service dependencies, improving root-cause identification accuracy during high-severity incidents.
- — Automated integration and system-level validation using CI/CD pipelines and scripted test frameworks, strengthening release stability across distributed execution environments.
- — Coordinated defect triage and quality assurance efforts with developers and product stakeholders, translating technical findings into actionable fixes to maintain enterprise-grade software reliability.
Virtual Math Labs
Software Developer Intern
Aug 2021 – Dec 2021
- — Engineered modular backend components using Python and JavaScript by applying OOP principles, data structures, and algorithmic design, resulting in a 20% reduction in defect density across internal testing cycles.
- — Built and troubleshot Linux-based backend services by leveraging process management, shell utilities, and containerized deployment workflows, improving system stability across staging environments.
- — Optimized cross-layer application performance by debugging API calls, database queries, and inter-service communication, reducing runtime bottlenecks and improving request handling consistency.
- — Strengthened release reliability by contributing to peer code reviews, technical documentation, and CI/CD pipelines using Jenkins-style automation, ensuring reproducible builds and structured deployment workflows.
Where I studied
Seattle University
Masters, Computer Science
Sep 2024 – Jun 2026 · Seattle, USA
- — Artificial Intelligence
- — Distributed Systems
- — Machine Learning
- — Security in Computing
Savitribai Phule Pune University
Bachelor of Engineering, Information Technology
Jun 2019 – Aug 2022 · Pune, India
Selected Work
ARIA - Autonomous Response Intelligent Assistant
Multi-agent AI co-pilot for 911 dispatchers, built on Amazon Bedrock. Six specialized agents (Claude Haiku 3.5 + Claude Sonnet 4) process real-time Amazon Transcribe streaming, run parallel domain watchers in AWS Lambda, and surface a single dispatcher recommendation in under 15 seconds — grounded in FEMA and MPDS protocols via Bedrock Knowledge Base with RAG.
Peekwise.ai
Monorepo competitive intelligence SaaS — BullMQ as the sole async handoff between ingestion, AI enrichment, and orchestration layers; cost-zero Groq pipeline processing ~2,075 reviews/day; Redis-first sub-millisecond dashboard reads.
Habiwine
Production SaaS backend with Python & Node.js — RESTful APIs, PostgreSQL optimization (30% faster queries), Cloudflare edge caching cutting repeat load by 35%, and AI-powered habit analytics.
EchoJournal — Mood Booster
Collaborative mental wellness journaling app built with Angular and Node.js/Express REST API backed by MongoDB — full CRUD for mood-tagged journal entries, Dashboard View All, and Mocha/Chai test coverage.
View All Projects →
Full details + bullet breakdowns
I'm all over the internet
Pick a platform or just say hello.