New York, NY (EST)
Open to Software and AI opportunities
Hey, I'm DC! 👋
Software Engineer at HubSpot
I build polished, accessible, and performant user interfaces that feel simple for users and scalable for teams.
About
Building mindset.
In the present era of rapidly advancing technology, my will to push the envelope beyond the maximum limit is what sets me apart. I continuously stay exposed through journals and forums, sharing knowledge with peers, seniors, and subject matter experts. I aspire to build software applications that make our lives more digital-friendly.
I pride myself on my dedicated and competitive nature, which has helped me succeed in my field. I thrive in a team environment and aim to lead with clarity and purpose. The task, regardless of its priority, always gets my undivided attention.
Projects
Selected Work
Helping Hands
Nov 2021Built a web app focused on making support delivery to people in need more seamless and accessible by automating key coordination flows.
- Web App
- Automation
- Social Impact
Little Go Agent
Sep 2021 - Oct 2021Developed an AI agent for 5x5 Go using minimax with alpha-beta pruning and reinforcement-learning approaches; achieved a 100% win rate against random/aggressive/greedy/minimax baselines and an overall 95.9% win rate.
- Python
- Reinforcement Learning
- Minimax
- Alpha-Beta Pruning
Support Systems for Driverless Cars
Aug 2019 - Jun 2020As part of my final-year B.Tech project, developed four AV support modules: pothole detection, traffic light signal/counter detection, potential vehicle-to-animal accident detection, and vehicular accident detection.
- Computer Vision
- Autonomous Vehicles
- Detection Systems
Instagram Hashtag Generation via Scene Understanding
Feb 2020Built a deep-learning engine that analyzes image scenes and generates Instagram-ready hashtags; won the Makerswave hackathon organized by Innovation Garage at NIT Warangal.
- Deep Learning
- Computer Vision
- NLP
Computer Vision-based Accident Detection in Traffic Surveillance
Dec 2018 - Apr 2019Conducted extensive research and implementation to design an efficient accident-detection algorithm for traffic surveillance camera feeds.
- Computer Vision
- Research
- Traffic Surveillance
ASL Recognizer using Arduino and Machine Learning
Oct 2018Developed a system using Computer Vision, ML, and Arduino to recognize ASL and translate gestures into spoken dialects; built a hardware setup with webcam, ultrasonic sensors, and servo motors to track hand movement, and won 1st place at INK Makeathon 2018 (350+ participants).
- Arduino
- Machine Learning
- Computer Vision
- Hardware Integration
Flood Prediction Website
Oct 2018Built and deployed a live weather + ML flood prediction platform on Microsoft Azure using Flask, Geocoding API, and Weather API; secured 3rd rank at NIT Warangal in Microsoft Code.Fun.Do++ Hackathon.
- Flask
- Machine Learning
- Microsoft Azure
- APIs
Space Swype
Nov 2017Built a 3D version of a classic 2D shooter in Unity with C#, with Microsoft Azure SQL backend integration for high scores and leaderboards as part of Microsoft Code.Fun.Do Hackathon.
- Unity 3D
- C#
- Azure SQL
- Game Development
Skills
Tools and craft I use daily
Frontend
- JavaScript (ES6+)
- TypeScript
- React
- Next.js
- HTML5
- CSS3
UI & CSS
- Responsive Design
- Animations
- Accessibility
- Design Systems
- SCSS
Tooling
- Git
- Webpack
- Vite
- Storybook
- CI/CD
Testing
- Jest
- React Testing Library
- Playwright
- Cypress
- Lighthouse
Experience
Career timeline
HubSpot
Aug 2024 - Present
Software Engineer
Leading frontend migration work at HubSpot, I built TypeScript and Node.js codemods that moved 200+ apps to a modern UI library, cutting manual effort by 60% and saving about four months. I also improved a plugin-based ESLint workflow that surfaced migration guidance and deadlines, reducing tracking overhead and migration errors across teams.
Commure
Jul 2024 - Aug 2024
Software Engineer
At Commure, I owned full-stack delivery for a cloud-native EHR platform across React, FastAPI, and PostgreSQL. I shipped features like CPT autocomplete, provider profile management, note forwarding, and audit logs to improve documentation quality, traceability, and clinician onboarding speed.
Tesla
Jun 2023 - Jun 2024
Software Engineer (P2)
Tesla Watchlist became my core focus: I helped lead its global rollout to 1000+ locations used by 2500+ Security and HR stakeholders. I built the frontend architecture with React, TypeScript, Express, Webpack, and Redux, and delivered 10+ features, including role-based flows and multilingual support, driving strong QoQ adoption.
Walmart
May 2022 - Aug 2022
Software Development Engineer III Intern
During my Walmart internship, I built a React + TypeScript design library with Nx and Storybook to improve UI consistency and team velocity. I documented 25+ interactive component stories and automated component audits, reducing maintenance overhead and making frontend development more predictable.
Salesforce
Jun 2020 - Jul 2021
Associate Member of Technical Staff
My AMTS role at Salesforce centered on a B2B CPQ platform spanning UI work, SDK integration, and release testing. I delivered key React/TypeScript product flows and supported Java/Spring Boot optimizations that improved API response times by 25%.
Salesforce
May 2019 - Aug 2019
Software Engineering Intern
As a Salesforce intern, I built a Python-based anomaly monitoring pipeline to improve visibility into database host health. I also created an analytics dashboard using Einstein integrations and actionable widgets, giving internal teams clearer operational insight.
Publications
Research work
Computer Vision-based Accident Detection in Traffic Surveillance
Earnest Paul Ijjina, Dhananjai Chand, Savyasachi Gupta, Goutham K
A road-accident detection framework for traffic surveillance footage using Mask R-CNN object detection, centroid-based tracking, and trajectory anomaly analysis.
Computer Vision-based Accident Detection for Autonomous Vehicles
Dhananjai Chand, Savyasachi Gupta, Ilaiah Kavati
A dashboard-camera support system for self-driving cars that tracks vehicles and analyzes speed, acceleration, and trajectory signals to detect accidents.
Computer Vision-based Animal Collision Avoidance Framework for Autonomous Vehicles
Savyasachi Gupta, Dhananjai Chand, Ilaiah Kavati
A driverless-vehicle support framework that detects animals in dashcam video, checks lane obstruction, and tracks animal movement to reduce collision risk.
TSCTNet: Traffic Signal and Countdown Timer Detection Network for Autonomous Vehicles
Dhananjai Chand, Savyasachi Gupta, Ilaiah Kavati
A traffic signal and countdown timer detection framework for autonomous vehicles, combining Mask R-CNN object detection with image processing and RetinaNet-based timer recognition.
Education
Academic foundation
University of Southern California
Master's degree, Computer Science
Courses Taken
- Foundations of Artificial Intelligence
- Analysis of Algorithms
- Web Technologies
- Machine Learning for Data Science
- Applied Natural Language Processing
- Information Retrieval and Web Search Engines
- Database Systems
National Institute of Technology Warangal
Bachelor of Technology, Computer Science and Engineering
Courses Taken
- Machine Learning
- Design and Analysis of Algorithms
- Distributed Computing
- Data Warehousing and Data Mining
- Cryptography and Network Security
- Game Theory
- Operating Systems
- Computer Networks
- Wireless and Mobile Computing
Contact
Let's build something meaningful
Reach out for frontend engineering opportunities, product collaboration, or conversations around UX and performance.
Prefer email? dcdevdhan@gmail.com