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Bhavik Mehta
Contact Me
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Bhavik Mehta

Full Stack Developer & AI Enthusiast

Open to Work

Hi! I'm Bhavik Mehta
a Full Stack Dev
I design, build, and ship full-stack web apps
with AI baked in where it matters.

{ 02 } — About

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.

3+
Years Experience
15+
Projects Shipped
Currently Exploring
AI Agents & LLM Tooling
My Approach
I write code that's meant to be read, not just executed.
I treat every product as if it's my own — with full ownership.
I ship fast, iterate faster, and never sacrifice quality.
What I Believe

Great software is invisible — it just works. I build with the user in mind first, performance second, and aesthetics always.

ReactGitNext.jsVercelTypeScriptRedisPythonKubernetesNode.jsGoDockerTailwindPostgreSQLMongoDBGraphQLFigmaFirebaseVue.js
{ 03 } — Skills

My Toolbox

Technologies I work with daily

Frontend

ReactNext.jsTypeScriptTailwind CSSFramer Motion

Backend

Node.jsExpressPostgreSQLRedisPrisma

AI / ML

OpenAI APILangChainPythonTensorFlowHugging Face

DevOps

DockerAWSVercelGitHub ActionsCI/CD

Tools

FigmaGitPostmanVS CodeLinear

Databases

PostgreSQLMongoDBRedisSupabasePlanetScale
{ 04 } — Experience

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.
JavaPythonLinuxCI/CDQA Automation

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.
PythonJavaScriptLinuxDockerJenkins
{ 05 } — Education

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

{ 06 } — Projects

Selected Work

AI / AWS
1ST PRIZE — AWSHacks 2026
May 2026

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.

Amazon BedrockClaude Sonnet 4Claude Haiku 3.5AWS LambdaAmazon TranscribeDynamoDBBedrock Knowledge BaseBedrock GuardrailsAmazon Titan EmbeddingsAmazon S3Multi-Agent OrchestrationRAGPython
Peekwise.ai logoSaaS / AI
Apr 2025 – Present

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.

Next.js 14FastAPIBullMQRedisGroqRailway
Habiwine logoFull-Stack SaaS
Mar 2025 – Jun 2025

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.

PythonNode.jsPostgreSQLAWSCloudflareOpenAI
Full-Stack / Wellness
May 2025

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.

AngularNode.jsExpress.jsMongoDBMongooseMochaChaiAzure

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