Dhvani Dave

Software Engineer

Open to opportunities · MS CS @ UB

Building Software, AI & Tech Things

3.9GPA / 4.0

2Yrs exp.

Dec '26MS CS

Computer Science graduate student specializing in full stack development and AI powered applications. I enjoy taking an idea, figuring out how to make it work, solving problems along the way, and learning something new with every project.

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01 / About me

A little about my journey so far

I’m a software engineer who enjoys building things, solving problems and exploring what’s possible with technology. I’m currently pursuing my Master’s at the University at Buffalo, where I’ve been exploring AI, new technologies, and ideas that spark my curiosity.

I’ve always had a “give me anything, I’ll figure it out” kind of mindset. For me, not knowing something has never been a reason to stop. I usually take it as a reason to learn, explore and see if I can figure it out. That attitude has helped me far beyond software. It’s shaped how I approach challenges in life in general. I’ve learned that most problems become a lot less intimidating when you’re willing to spend the time to really understand them.

Before my Master’s, I worked as a Cloud Software Engineer at CloudRock, where I had the opportunity to work on real world software and learn what it takes to turn ideas into something people can actually use. It taught me how to work with complex systems, understand what users actually need, solve problems that don’t always have straightforward answers and build software that is reliable beyond just the development environment.

I’m curious by nature and love experimenting with new ideas, technologies and projects. I also genuinely enjoy meeting new people, hearing different perspectives and learning from the best. There’s usually something worth learning in every experience if you take the time to notice it.

I’m here to build, learn, experiment and hopefully create a few things worth talking about along the way.

My experience

02 / Professional experience

A few years of building and learning

Jul 2023 – Apr 2025

CloudRock Mumbai, India

Cloud Software Engineer

Built Workday Studio XML/XSLT transformation pipelines and custom EIB templates for 10K+ records per run, supporting Workday HCM data flows across 15+ countries.
Extended integration workflows with AWS EC2, S3, and Lambda, adding validation and routing before HR and Finance systems consumed downstream data.
Developed business-rule validations and Python reconciliation scripts for bulk loads, reducing data errors by 30% and improving integration processing efficiency.
Partnered with HR, Finance, IT, backend engineering, and QA to translate operational requirements into reliable, scalable technical solutions.
Led unit, integration, smoke, UAT, and regression testing across sandbox and production, debugging API and integration issues throughout delivery.
Supported post-launch operations through Jira, triaging production issues and helping keep integrations stable after release.
Earned Rockstar of the Month for ownership and project delivery; also mentored new hires and supported onboarding.

Workday HCM7+ Countries10K+ EmployeesJira SupportQA & UAT

Aug 2022 – May 2023

Vansh Consulting Inc. Mumbai, India

Software Engineer Intern

Developed an internal client-operations portal with Python (Django), React, and TypeScript, replacing spreadsheet-based tracking for supplier and purchase-order records.
Built REST APIs and scheduled sync jobs to bring ERP and CRM order data into PostgreSQL, then optimized indexes and joins to reduce the nightly run from ~45 to ~15 minutes.
Containerized the application with Docker and created a GitHub Actions pipeline for build, test, and deployment, backed by ~60 unit and integration tests.
Prototyped a Python ticket-triage service using spaCy and scikit-learn that classified incoming requests into 6 categories at ~85% accuracy, reducing manual helpdesk sorting.

PythonDjangoReactPostgreSQLDockerGitHub Actions

03 / Projects

Things that started as an idea

Ideas are better when you build them. A few projects I’ve taken from a blank screen to something real.

Go Crawler & Link Validator Jul 2026 – Aug 2026

Concurrent Link Checker

Built a concurrent web crawler and link validator in Go, using a goroutine worker pool pattern to crawl webpages, extract links, and validate them in parallel for fast, scalable checks.

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Citation Grounded Research Paper Assistant Jun 2026 – Jul 2026

CiteMind

Built a FastAPI based RAG pipeline for processing research papers, including PDF extraction, text chunking, embedding generation, retrieval, and grounded answer generation.

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AI-Powered Fraud Investigation System Apr 2026 – May 2026

SentinelAI

Architected a 6 agent FastAPI backend for distributed task orchestration, transaction analysis, graph traversal, and risk scoring.

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Agentic AI Developer Copilot Jan 2026 – Mar 2026

CodeSense

Built a full stack AI coding assistant with FastAPI and React for code analysis, debugging, contextual retrieval, and automated fix generation.

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NLP Question Generation Jan 2023 – May 2023

QuestionAI

Engineered a Python NLP pipeline for automated MCQ generation, transforming unstructured text into structured question and answer data.

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APPLICATION TRACKING SYSTEM Aug 2022 – Dec 2022

Job Portal

Developed a job application platform using Java and Spring Boot, enabling users to create profiles, apply for jobs, and track application status.

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04 / Education

The foundation behind my work

M.S. Computer Science

Aug 2025 – Dec 2026

GPA 3.9/4.0

University at Buffalo, SUNY

Focus Areas: Artificial Intelligence, Machine Learning, Deep Learning, Algorithms & Data Structures

Coursework:

Fall 25

Algorithms Analysis and Design
Introduction to Machine Learning
Computer Security
Data Intensive Computing

Spring 26

Deep Learning
Operating System
Data Models and Query Language
Technological Entrepreneurship

Fall 26

Computer Vision (Capstone Project)

Buffalo, NY

B.E. Computer Engineering

Aug 2019 – Jun 2023

GPA 3.6/4.0

University of Mumbai

Capstone: QuestionAI

Coursework:

Data Structures
Algorithms
C/C++
Artificial Intelligence
Data Science
NLP
Python
Discrete Mathematics
Probability
IoT
Blockchain
Cloud Computing
Java
AWS
Big Data

Involvement: Organized various college events and was a member of the Codex community.

Mumbai, India

05 / Technical skills

Tools I use to build

Languages

GoJavaPythonJavaScriptTypeScriptSQLCC++Scala

Backend & APIs

FastAPINode.jsREST APIsGraphQLAPI IntegrationAuthenticationMicroservicesConcurrent Programming

Frontend & Full-Stack

React.jsReact NativeNext.jsHTML/CSSResponsive UIStreamlit

Databases & Cloud

PostgreSQLMongoDBMySQLNeo4jSnowflakeAWS (EC2, S3, Lambda)

Developer Tools

GitGitHub ActionsCI/CDDockerKubernetesPostmanLinux

AI/ML & Data

LLM Fine-TuningInstruction TuningQuantizationSemantic SearchIntent ClassificationEntity ExtractionNLPRAGLangGraphPrompt EngineeringHugging FacePyTorchTensorFlowMachine LearningDeep LearningNumPyPandas

06 / Certificates & awards

Always building

Google · Aug 2026

Foundations of Cybersecurity

Learned core cybersecurity concepts including security principles, threat awareness, risk management, and common security controls.

IBM · Aug 2026

Build RAG Applications: Get Started

Learned to build RAG applications using document retrieval, embeddings, vector databases, and LLMs to generate context-aware responses.

Anthropic · Aug 2026

Introduction to Model Context Protocol (MCP)

Learned how to build MCP servers and clients, connect AI models to external tools and data, and structure tool interactions using the Model Context Protocol.

Anthropic · Jul 2026

Building with the Claude API

Hands-on training building AI-powered applications, handling API requests, structured outputs, and prompt workflows.

07 / Get in touch

Good ideas start with a conversation

Have a problem worth solving? Let's build something around it.

dhvanidave7014@gmail.com +1 716 553 7650

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Open to Software Engineering and AI/ML Engineering roles starting in 2027, with flexibility to relocate.
Based in New York, USA.

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