DP

const developer = "Dev Parikh";

Software Engineer

dev@~
bash
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> ./hire_me.sh> ./view_projects.sh> ./resume.pdf
// Connect with me:
4+
Years Experience
50+
Projects
about.md
# About Me
Dev Parikh
// šŸ‘‹ Hi, I'm Dev ā€” developer by name, engineer by passion

I am a Software Engineer with expertise in AI/ML integration who treats building products a bit like playing midfield in soccer, always scanning the field, connecting ideas, and helping the whole team move forward together. Over the past few years I have shipped full-stack systems and AI automations that quietly remove hours of busywork, integrated LLMs from OpenAI and Anthropic with LangChain and LangGraph, and delivered models that stay accurate when it actually matters, in production and not just in a notebook.

On the pitch and in code, what drives me is smart teamwork and clean execution, reading the game, making the right pass, and doing the unflashy work that wins over time. In cross functional teams I am the one who can talk product, dive into data, tune a model, fix a bug in the backend or frontend, and still ship on time, always aiming to build systems that are reliable, enjoyable to use, and noticeably missed the moment they are gone.

Full-Stack Expertise

4+ years building scalable applications

AI & ML Focus

LangChain, OpenAI, PyTorch implementations

Team Collaboration

Agile/Scrum with 5+ concurrent projects

Published Researcher

IEEE Access publication in 2025

dev@portfolio:~
$ npm install
// Installing 49 packages...
package.json
"dependencies": {
"docker"
"github-actions"
"rest-apis"
"agile"
"sql-server-management-studio-ssms"
"unit-testing"
"jira"
"vs-code"
"scrum"
"bitbucket"
"git-cli"
}
terminal
$ npm list --depth=0
āœ“ 49 packages installed successfully
// All dependencies are up to date and ready to use
git log --experience
// Professional Journey
3+ years of contributions
4abcbfcā€¢software-engineer
ACTIVE

Software Engineer

Qualcomm
2025-06-02 - PRESENT
// Key Contributions:
+Architect and own scalable AI-powered backend microservices using FastAPI, Docker, and Kubernetes on AWS, delivering production inference APIs and reducing response latency by 35% across edge intelligence platforms.
+Designed retrieval-enabled semantic search architecture over enterprise knowledge systems and deployed AI inference services on Qualcomm edge devices using ONNX and TensorRT, improving query relevance by 40% and reducing compute footprint by 50%.
+Built automated CI/CD workflows using GitHub Actions and MLflow for versioned service deployment, cutting manual deployment overhead by 60% and maintaining 99.5% uptime SLAs through Prometheus and Grafana observability.
+Enhanced distributed data processing pipelines using Apache Spark and Delta Lake to support production services, increasing data throughput by 45% while improving fault tolerance and pipeline resiliency.
+Collaborated cross-functionally with platform, product, and research teams to define system architecture, run controlled production experiments, and drive a 25% improvement in long-term service stability and performance.
+5 contributionsā€¢Remote (USA)
484d696ā€¢graduate-researcher-(machine-learning-&-robotics)

Graduate Researcher (Machine Learning & Robotics)

UMBC (Vinjamuri Lab)
2024-10-01 - 2025-12-20
// Key Contributions:
+Conducting deep learning research on CNN/RNN architectures in PyTorch for EEG brain signal classification with 1,000+ recordings, achieving state-of-the-art performance for prosthetic control.
+Published in IEEE Access (2025) demonstrating multimodal system combining EEG/facial analysis for emotion classification, achieving 98.2% accuracy vs 91% baseline (7% improvement).
+Deployed PyTorch models as FastAPI REST APIs with <150ms latency, supporting real-time inference for 10+ research stations simultaneously.
+3 contributionsā€¢Baltimore, MD
e742ef3ā€¢software-engineer

Software Engineer

Mindtree
2021-01-01 - 2023-12-31
// Key Contributions:
+Developed scalable backend and full-stack features using Django, React.js, and SQL for a cloud-based analytics platform, reducing reporting turnaround time by 30% and improving system responsiveness.
+Engineered automated data ingestion services using PySpark and Apache Airflow, scaling integrations from 5 to 20+ data sources while improving pipeline reliability by 35%.
+Designed and deployed production APIs supporting predictive analytics workflows, improving decision-support capabilities and increasing model-driven insights adoption across business teams.
+Containerized backend applications using Docker and implemented Jenkins-based CI/CD pipelines, reducing deployment effort by 50% and enabling consistent production releases.
+Optimized Snowflake and PostgreSQL query performance and storage architecture, achieving up to 3Ɨ faster analytics queries for large enterprise datasets.
+5 contributionsā€¢India
0000000 ā€¢ Initial commit - Career started
$gitstatus
On branch career/growth
1 active projects in progress
āœ“ Ready for new opportunities
credentials.md
# Education & Achievements
Academic excellence & professional certifications
degree_1.json
IN PROGRESS
{
  "degree": "Master of Science, Data Science ",
  "institution": "University of Maryland, Baltimore County",
  "location": "USA",
  "period": "2025-01-21 - 2026-12-17",
  "gpa": 3.75
}
GPA: 3.75 / 4.0
degree_2.json
{
  "degree": "Bachelor of Engineering, Computer Engineering",
  "institution": "Gujarat Technological University",
  "location": "India",
  "period": "2023-06-06 - 2024-05-20",
  "gpa": 3.5
}
GPA: 3.5 / 4.0
certifications.ts
// Professional Certifications
interface Certification {
aws_educate_machine_learning_foundations: Certification = {
title: "AWS Educate Machine Learning Foundations";
issuer: "Amazon Web Services";
date: "2025-04-15";
};
hackerrank_software_engineer_certificate: Certification = {
title: "HackerRank Software Engineer Certificate";
issuer: "HackerRank";
date: "2024-08-01";
}
}
// Export type
export type Certifications = Certification[];
publication_2024.pdf
PUBLISHED 2024
/** * Publication - 2024 */

Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection

authors: "Safavi F., Parikh D. et al."
journal: "IEEE Access"
doi: "10.1109/ACCESS.2025.3555934"
year: 2024
url: https://ieeexplore.ieee.org/document/10.1109/ACCESS.2025.3555934
$validatecredentials
āœ“ 2 Degrees verified
āœ“ 2 Certifications validated
āœ“ 1 Publication indexed
dev@portfolio:~
$ ls -la projects/
// 12 projects found
contact.sh
#!/bin/bash
# Let's connect and build something amazing!
echo "Available for full-time opportunities"
contact_info.json
// EMAIL
dev.dpparikh@gmail.com
$ mailto dev.dpparikh@gmail.com
// PHONE
6674339710
$ call 6674339710
// LOCATION
USA (Open to relocation)
$ locate USA (Open to relocation)
social_links.ts
GitHub
/devparikh0506
ā†’
LinkedIn
/in/devparikh0506
ā†’
STATUS: AVAILABLE
Open to full-time opportunities
Can start immediately
send_message.tsx
$nodeconnect.js
āœ“ Contact methods loaded
āœ“ Ready to receive messages
āœ“ Response time: < 24 hours