About
Software Engineer with over 5 years of experience building full-stack applications, architecting scalable backend systems, and integrating AI solutions. Proven success leading teams, streamlining business processes, and delivering data-driven platforms that boost operational efficiency. Passionate about solving real-world problems with clean, maintainable code and modern cloud-native technologies.
- LinkedIn: in/pateldhavalj/
- Phone: (716) 590-9176
- City: New York, NY, USA
- Work Experience: 5+ Years
- Degree: MS in Computer Science
- Email: patel.dhaval.work@gmail.com
Technical Skills
Technologies & Tools I've Mastered Through Real-World Projects
Frontend Development
React.js
Next.js
Vue.js
HTML5
CSS3
JavaScript
Backend & APIs
Python
Django
FastAPI
Node.js
Express.js
Cloud & DevOps
AWS
Google Cloud
Kubernetes
Docker
Databases & Data
PostgreSQL
MongoDB
BigQuery
MySQL
AI & Machine Learning
Tools & Platforms
Git
Postman
Tableau
Firebase
Resume
Summary
Dhaval Patel
Software Engineer with over 5 years of experience building full-stack applications, architecting scalable backend systems, and integrating AI solutions. Proven success leading teams, streamlining business processes, and delivering data-driven platforms that boost operational efficiency. Passionate about solving real-world problems with clean, maintainable code and modern cloud-native technologies.
- New York, NY, USA
- (716) 590-9176
- patel.dhaval.work@gmail.com
Education
MS in Computer Science and Engineering
2022 - 2024
University at Buffalo, The State University of New York, NY
Coursework – Algorithms, Data Models, Machine Learning, Parallel Algo., Computer Security, Networking Concepts, Project Development
Bachelor of Engineering, Information Technology
2013 - 2017
Mumbai University, India
Coursework - Java, C, C++, Web Design, OOP, Data Structures and Algorithms, Cloud Computing, Machine Learning, Neural Networks
Professional Experience
Senior Software Engineer
Nov 2024 - Present
MP Engineers and Architects | New York, USA
- Directed development of a custom AEC product suite, overseeing architecture and integrations—improving operational efficiency by 30%
- Mentored 2 junior developers and coordinated closely with cross-functional stakeholders to align technical decisions with business goals
- Architected modular, scalable web applications using Vue, PostgreSQL, and AWS, reducing technical debt and accelerating future releases
Founding Software Engineer
July 2024 - Nov 2024
The Care Hack, Inc | New York, USA
- Spearheaded development of a scalable mental health caregiver app using Next.js and Render, achieving a bug-free MVP in 10 weeks
- Integrated GPT-4o Mini to assist therapists with relevant responses, reducing caregiver reply times by 25% and improving engagement
Graduate Research Assistant
Jan 2024 - May 2024
Research Foundation for SUNY | Buffalo, USA
- Built a centralized system with role-based access controls, streamlining research workflows and boosting operational efficiency by 50%
Senior Software Engineer
Oct 2021 - Jul 2022
Colgate-Palmolive | Mumbai, India
- Engineered a business planning platform using Django, React, and GCP, enabling low-latency support for millions of concurrent I/Os
- Shipped 3 major product features in 6 months with zero post-release defects, driving roadmap execution and cross-functional alignment
- Reduced data validation time by 90% by designing scalable pipelines to normalize and compare 100M+ records, eliminating manual checks
Software Engineer
Jun 2018 - Sep 2021
Colgate-Palmolive | Mumbai, India
- Automated SLA compliance and real-time ticket tracking by building a Django-based system integrated with Jira APIs, driving efficiency
- Saved 10,000+ manual hours and improved planning accuracy by 75% by resolving bugs, optimizing queries, and scaling RESTful APIs
- Improved business planning and demand forecast accuracy by 20% by applying ML models (neural networks, regression, decision trees)
Junior Software Engineer
Jun 2017 - Jun 2018
Colgate-Palmolive | Mumbai, India
- Strengthened platform stability by proactively eliminating over 50 recurring system issues via root cause analysis, reducing future incidents
Featured Projects
Explore my portfolio of innovative solutions and technical achievements
- All Projects
- AI & ML
- Full-Stack
- Enterprise
- Personal
AdmitWise: AI-Powered University Admissions
Developed an AI and NLP-powered system to evaluate resumes and essays with high precision, enabling automated assessment for university admissions with consistent scoring and analysis.
ScanJD: Job Description Summarizer
Built a Chrome extension for LinkedIn that scans job descriptions and presents concise results, enhancing job search efficiency. Utilized ChatGPT's API for analysis and extracted key metrics through advanced prompt engineering.
Mental Health Caregiver App
Spearheaded development of a scalable mental health caregiver app using Next.js and Render, achieving a bug-free MVP in 10 weeks. Integrated GPT-4o Mini to assist therapists with relevant responses.
Enterprise Business Planning Platform
Engineered a business planning platform using Django, React, and GCP, enabling low-latency support for millions of concurrent I/Os. Shipped 3 major features with zero post-release defects.
Data Migration Validator
Led development of a validation program with Python and PostgreSQL for comparing source data with migrated data, processing over 100 million records and reducing validation time by 90%.
COVID Vaccination Slot Notifier
Created a real-time notification system that monitors vaccination slots based on pincode and promptly notifies users via email about available slots, supporting CRUD functionalities.
UoM Conversion Rectifier
Applied test-driven development to build a remediation tool to resolve vital Unit of Measure mismatch, adding new RESTful API services in Django, addressing React.js component bugs, adding test cases in JEST, and validating PostgresSQL using complex queries for data integrity, saving users over 10,000 manual work hours across countries and improved planning accuracy by 75%
Data Migration Validator
Led the development of a validation program with Python, PostgreSQL for comparing source data with migrated data, including sections like Master Data, Historical and Planning Data, totaling over 35 million records. Transformed the data by optimizing data types and re-labeling fields to ensure comparability, eliminating manual validation and leading to a 90% reduction in validation time
Pricing Mismatch Analyzer
Employed Pandas to analyze and fix disparities between Google Cloud and PostgreSQL databases. Established a mapping check for cross-database product matching and performed routine price mismatch checks. Deployed a Python program to delete local data, load Cloud data, recalculate prices, and email a list of affected products to the users, reducing support ticket volume by 50%
Automated Resource Notifier
Deployed a JavaScript-based notifier to track recurring issues and address an Atlas issue prioritization challenge. Leveraging advanced analytics for technical insights and data-driven decision-making, it optimized issue prioritization, resulting in a 15% increase in user engagement and a substantial decrease of over 200 weekly tickets, leading to higher user satisfaction
Aging IR Notification System
Implemented a robust integration of Jira task data with Support Tickets in Google Sheets via Google Apps Script, involved utilizing Jira REST APIs and mapping tickets to developers based on Jira IDs, enabling real-time issue status tracking and providing actionable daily summaries to technical teams facilitating automated SLA compliance checks and bolstering operational efficiency
Version Data Consistency Dashboard
Harnessed BigQuery data to architect data-rich dashboards, streamlining the analysis of business planning across all subsidiaries, resulting in a 150-minute reduction in monthly manual effort, enhancing data accuracy technical workflows
COVID Vaccination Slot Notifier
reated an notifier system utilizing Python, Flask, API’s with MySQL as the database, supporting CRUD functionalities. Monitored vaccination slots in real-time based on pincode and promptly notified users via email about the available slots
National AI Institute For Exceptional Education Portal
Developed a responsive, high-traffic website using FastAPI, having an intuitive user interface reflecting the institute's digital identity. Empowered faculty to manage research documents, track citations, and gain insights into their research impact through a cloud platform
ScanJD : Job Description Summarizer
Built a Chrome extension for LinkedIn, scanning job descriptions and presenting concise results on the page, enhancing job search efficiency. Employed ChatGPT's API in backend for job description analysis, extracting key metrics through advanced Prompt engineering techniques
Contact
Location:
New York, NY, USA
Email:
patel.dhaval.work@gmail.com
Call:
+1 (716) 590 9176
Meet me:
Calendly