● open to software engineering roles — USA, will relocate

Dev Parikh

Software Engineer — Backend, Full-Stack & Cloud-Native Systems

AWS Certified Software Engineer with 4+ years building backend, full-stack, and cloud-native systems in Python, Java, TypeScript, React, AWS, Docker, and Kubernetes. I work across microservices, REST APIs, event-driven architecture, CI/CD, observability, performance tuning, secure API development, and applied AI/LLM systems.

Dev Parikhdev.jpg
Qualcomm
Current role
AWS Certified
Developer Associate
4+ years
Software engineering
github ↗linkedin ↗
// selected work
001 · 2025 · RAG / pgvector

Context QA — RAG Question Answering

document Q&A with grounded answers
code ↗
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 · LLM agents / AWS

Automated PR Review System

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 Bedrock with tool-calling behind API Gateway and Lambda, triggered by GitHub webhooks; Checkov and Semgrep run static security analysis alongside the LLM pass.

Result

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

PythonAWS BedrockLambdaCheckovSemgrep
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.

code ↗
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).

code ↗paper ↗
// 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 Microserviceproduction-ready payments scaffold — webhooks, CQRS'25
full archive on github →
// experience
Jun 2025 — Present
CURRENT

Software Engineer (Backend & Applied AI)

Qualcomm
USA
+Designed and developed cloud-native backend services using Python, FastAPI, AWS SQS, RDS, S3, Docker, and Kubernetes, reducing document retrieval times from hours to seconds across 50K+ records
+Built and deployed distributed microservices with GitHub Actions CI/CD, owning design docs, code reviews, testing, deployment, and monitoring while reducing deployment effort by 60%
+Developed secure, versioned REST APIs with OAuth2, input validation, rate limiting, audit logging, RBAC, and OpenAPI/Swagger documentation
+Engineered database schemas, indexing strategies, query optimization routines, and migrations across PostgreSQL, MongoDB, and Redis, improving response times by 35%
+Created React and TypeScript dashboards for operational analytics and system health monitoring across service performance and infrastructure utilization
+Implemented Grafana, Prometheus, CloudWatch, centralized logging, and monitoring pipelines, reducing production issue resolution time by 40%
+Established automated quality gates with Pytest, integration testing, regression testing, and GitHub Actions, reducing production defects by 30%
+Applied RAG architectures, LangChain, Pinecone, and LLM evaluation frameworks to improve knowledge retrieval without impacting platform scalability
Jan 2021 — Dec 2023

Software Engineer

Mindtree
India
+Developed and maintained Java-based microservices and backend applications for high-volume enterprise platforms, improving transaction throughput by 30%
+Built responsive web applications using React, Next.js, and TypeScript while integrating REST APIs and GraphQL services, reducing client-side load times by 25%
+Designed backend services using Java, Node.js, SQL, MySQL, MongoDB, and Redis for distributed business workflows and production reliability
+Optimized database performance through schema design, indexing, query tuning, transaction management, and migration planning, reducing critical query execution times by 40%
+Implemented CI/CD pipelines with GitHub Actions, improving release frequency and reducing manual deployment effort across multiple development teams
+Developed secure API integrations using OAuth2, JWT authentication, input validation, and role-based access controls
+Built automated testing frameworks using Jest, integration testing, and regression testing, reducing post-release defects by 28%
// skills
all visible, no clicking required
Languages
PythonJavaJavaScriptTypeScriptSQL
Backend
FastAPIDjangoNode.jsExpress.jsREST APIsGraphQLMicroservicesDistributed SystemsKafkaCelery
Frontend
ReactNext.jsHTML5CSS3Redux ToolkitReact Query
Databases
PostgreSQLMySQLMongoDBDynamoDBRedis
Cloud & DevOps
AWSEC2S3LambdaAPI GatewayCloudFrontSQSDockerKubernetesTerraformGitHub ActionsCI/CD
Testing & Observability
Unit TestingIntegration TestingPytestJestPlaywrightPrometheusGrafanaCloudWatchLoggingMonitoring
Security & APIs
OAuth2JWTRBACAPI SecurityOpenAPISwaggerAPI Versioning
AI / ML
RAGLLMsLangChainPineconeVector SearchEmbeddingsLLM Evaluation
Version Control
GitGitHubGitLabBitbucket
// 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 production software where backend systems, cloud infrastructure, observability, and user-facing workflows all have to hold up together. My recent work spans Python and FastAPI services on AWS, Kubernetes deployments, secure REST APIs, CI/CD quality gates, React dashboards, and retrieval-augmented AI features.

I started in full-stack engineering, moved deeper into distributed systems and cloud-native platforms, and now focus on software that is secure, observable, performant, and maintainable under real production load.

CurrentlyBackend, cloud, observability, and AI platform work at Qualcomm
CertifiedAWS Certified Developer - Associate
Focussecure APIs, distributed systems, CI/CD, and production reliability
// contact

Let's talk.

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

+1 (667) 433-9710
github ↗linkedin ↗
available — can start immediately