● open to full-stack software engineering roles — USA, will relocate

Dev Parikh

Full-Stack Software Engineer

Full-stack software engineer with 4+ years of experience building web applications and backend systems using React, Node.js, Python, PostgreSQL, and AWS across insurance and media platforms. I deliver end-to-end features — from API and data design to responsive interfaces and performance optimization — and apply AI to production applications to improve business workflows.

Dev Parikhdev.jpg
DXC Technology
Current role
AWS Certified
Developer Associate
4+ years
Software engineering
// selected work
001 · 2025 · RAG / pgvector

Context QA — RAG Question Answering

document Q&A with grounded answers
Problem

Teams can't trust LLM answers over their own documents without grounding — and naive RAG gets slow as corpora grow.

Approach

Hybrid search (BM25 + dense embeddings) over pgvector with embedding-cache reuse; JWT auth and Stripe usage gating; provisioned on GCP with Terraform.

Result

p95 retrieval under 300ms on corpora of 5K+ pages — supporting up to 100 concurrent users on a single Cloud Run instance.

PythonFastAPIpgvectorGCPTerraformStripe
002 · 2025 · Bedrock / Step Functions

AI Code Review Platform for GitHub

LLM code review on every pull request
private
Problem

Manual PR review burned hours per pull request — and security issues still slipped into Python and Terraform codebases.

Approach

AWS Step Functions orchestrates Amazon Bedrock reviews with automated security scans running in parallel, delivering findings directly to GitHub pull requests and Slack; React dashboards backed by DynamoDB show review status and rerun reviews on demand.

Result

100+ PRs reviewed at ~5 min average — 300+ quality and security issues caught before merge.

PythonAWS Step FunctionsAmazon BedrockDynamoDBReact
003 · 2025 · Research~150ms latency

EEG Brain-Computer Interface

Real-time motor-imagery classification in PyTorch — ~85% accuracy across 4 classes at ~150ms end-to-end latency.

private
004 · 2025 · ResearchIEEE Access

Multimodal Emotion Recognition

Transformer + CNN-LSTM fusion reaching ~97% on the DEAP benchmark, +4 points over prior baseline — published in IEEE Access (2025).

// project archive
16 entries
Asset Management Platformprivatemedia delivery for 100K+ users'23
Real-Time KPI Dashboardsprivatelive metrics for 30+ business clients'23
Microservice Scaffolding CLIprivatesetup: full day → under an hour'23
Real-Time Face Detectionmulti-face tracking on live video'24Soccer Player Valuation37.4% lower forecast error'24LAPD Crime Analysishotspot + trend analysis for LA'24Airline Performance Analysisdelay prediction across carriers'24
Portfolio Engineprivatethis site — CMS-driven content'25
LLM Fine-Tuning — Phi-3 QLoRAQLoRA fine-tune on Dolly 15k, MLflow tracking + ONNX serving'25Travel Mitra — LangChain Agentagentic Airbnb-style search with tools + memory'24
Telemetrix — Streaming Telemetryprivatedevice telemetry → Kafka → Spark structured streaming'25
Sensorimotor BCI Gameprivatereal-time EEG-controlled obstacle game'25
RAG Research ChatbotprivatePDF + URL Q&A with cited answers'24
Charming Stones — eCommerceprivatefull-stack jewelry storefront with auth + payments'24
Real-Time Chat AppprivateWebSocket chat — TypeORM, JWT, OpenAPI codegen'25
Stripe Payment Microserviceprivateproduction-ready payments scaffold — webhooks, CQRS'25
// experience
Jun 2025 — Present
CURRENT

Full-Stack Software Engineer

DXC Technology
Remote (US)
+Co-developed a React, TypeScript, and Node.js claims management platform with a 4-engineer Agile team, replacing a slow legacy mainframe system and supporting 200+ adjusters in managing insurance claims
+Developed responsive user interfaces with JavaScript, HTML, and Tailwind CSS, ensuring fast performance across large claim lists and seamless navigation between claim views
+Designed secure REST and GraphQL APIs in NestJS with Elasticsearch, enabling real-time search across 1M claims and restricting claim updates to authorized users through role-based access control
+Optimized complex PostgreSQL queries and indexing strategies across 12 related claim tables, ensuring fast and reliable claim searches and updates for adjusters
+Delivered a Python FastAPI microservice using Azure OpenAI and LangChain to generate AI-powered claim summaries and suggested notes, reducing manual review effort for adjusters
Jan 2021 — Dec 2023

Software Engineer

LTIMindtree
Ahmedabad, India
+Led development of Django REST Framework and GraphQL APIs on PostgreSQL for a media content platform used by 5 teams, enabling efficient organization and publishing of nested media catalogs
+Engineered a Node.js service for uploading 10MB–20GB video files to AWS S3 through resumable chunked transfers, ensuring reliable large-file delivery without straining application servers
+Collaborated with the DevOps team to engineer a serverless video processing pipeline with AWS Step Functions and Lambda, delivering streaming through CloudFront that adapts video quality to each viewer’s connection
+Integrated approximately 500 suppliers with HubSpot CRM through Python Flask and Celery microservices, ensuring accurate data synchronization through automated retries and duplicate prevention
+Automated CI/CD pipelines with GitHub Actions, Docker, and Pytest to validate every code change in an isolated environment, preventing defects from reaching production
+Established production observability with CloudWatch system monitoring and Sentry application logging, enabling proactive defect detection, faster root-cause analysis, and reduced mean time to resolution
// skills
all visible, no clicking required
Languages
PythonTypeScriptJavaScriptSQL
Frontend
ReactNext.jsRedux ToolkitTailwind CSSHTML5CSS3Responsive Design
Backend
Node.jsExpressNestJSFastAPIDjango REST FrameworkFlaskRESTGraphQLOpenAPI
Data
PostgreSQLElasticsearchDynamoDBRedisCeleryPrismaSQLAlchemy
Cloud
AWS LambdaAWS Step FunctionsAWS S3AWS CloudFrontAWS BedrockAWS CloudWatchKubernetesDocker
Testing / CI/CD
JestPytestReact Testing LibraryGitGitLab CIGitHub ActionsSentry
Security / AI
OAuth2JWTRBACLangChainAzure OpenAIAmazon Bedrock
// education & credentials
Graduated Dec 2025

M.S. Data Science

University of Maryland, Baltimore County
Baltimore, MD
Graduated May 2023

B.E. Computer Engineering

Gujarat Technological University
Ahmedabad, India
PublicationIEEE Access · 2025

Multimodal Emotion Recognition — Transformer + CNN-LSTM Fusion

~97% accuracy on the DEAP benchmark, +4 points over the prior baseline.

D. Parikh, et al.IEEE Access · 2025 ↗
// beyond the work

Who's behind the commits?

I build full-stack products end to end — from API and data design to responsive interfaces and performance tuning. My recent work spans React and TypeScript front ends, NestJS and FastAPI services, PostgreSQL and Elasticsearch data layers, and AI features built on Azure OpenAI and LangChain.

I started on media platforms — content APIs, large-file video uploads, and serverless streaming pipelines on AWS — and now build insurance claims software, applying AI where it removes manual work from real business workflows.

CurrentlyFull-stack engineering on an insurance claims platform at DXC Technology
CertifiedAWS Certified Developer - Associate
Focusend-to-end features, secure APIs, performance, and applied AI
// contact

Let's talk.

The fastest way to reach me is email — I reply within a day. Open to full-time full-stack and backend engineering roles anywhere in the US.

+1 (469) 666-7229
available — can start immediately