Hi, I'm Dhaval Pawar — a software developer specializing in Full-Stack & AI/ML engineering. With a strong eye for design, I help startups and businesses ship clean, fast, and beautiful digital products from idea to deployment.
End-to-end development, design, and consulting. Replace provider fragmentation with a single integration layer.
End-to-end web applications from database to deployment. Node.js & Python backends + React/Next.js frontends.
Cross-platform mobile applications built with React Native. Delivering smooth, native-like experiences for iOS and Android.
Custom ML models, computer vision pipelines, and data analytics. Turning raw data into intelligent features.
Code reviews, architecture planning, and MVP strategy for early-stage products. Ship faster without cutting corners.
I focus on clean architecture, scalable code, and delivering real business value.
I build modular, maintainable codebases that are easy to scale and understand.
I prioritize delivering working features quickly without compromising on quality.
From complex backend APIs to beautiful frontend interfaces, I handle the entire stack.
I keep you in the loop with daily updates and transparent project management.
From idea to production, step by step. A structured approach to ensure quality and speed.
We define the scope, map out the architecture, and establish clear deliverables.
I design the database schema, API endpoints, and component hierarchy before coding.
I write clean, tested code and provide regular updates so you can see progress.
I handle server setup, CI/CD pipelines, and provide complete documentation.
Real problems. Real solutions. Each built with attention to code quality and user impact.
Real-time crowd counting and occupancy reporting system using SSD object detection. Built for safety monitoring in large venues with automated PDF report generation.
Automated detection and counting of vehicles violating traffic signals using YOLO + MobileNet. Achieved 90%+ detection accuracy across varied lighting conditions.
Real-time object detection web application built with React and integrated with ML models for browser-based inference.
Explore my full repository of open-source contributions, algorithms, and full-stack side projects on GitHub.
TechTech, Pune, India
• Designed and optimized backend systems using Python, Node.js, and PHP, improving API response times by 40% through performance tuning and efficient architecture. • Built and optimized RESTful APIs and GraphQL queries, enabling efficient communication between distributed systems and high-volume applications. • Implemented Redis caching strategies and dual-database architecture using MySQL and PostgreSQL to reduce database load and significantly improve API performance. • Wrote complex SQL queries and stored procedures, improving database query efficiency and overall system performance. • Spearheaded end-to-end development of a cross-platform React Native mobile application (published on Play Store & App Store) in the construction-tech domain, owning the full lifecycle from architecture and UI implementation to backend integration. • Architected scalable frontend state using Redux / Zustand and TanStack Query; built real-time features with WebSockets and Firebase (push notifications, live updates) using React Navigation for deep-linked navigation flows. • Building a multilingual AI pipeline integrating Meta’s M2M100 translation model with a voice-to-query NLP system, enabling 100+ regional language support to make the platform accessible to non-literate construction workers. • Integrated AI/ML models via Python backends for intelligent data processing, automated decision workflows, and contextual recommendations. • Enforced production code quality through PyTest and PHPUnit unit testing; implemented CI/CD pipelines and managed end-to-end app releases via Expo EAS across Android and iOS. • Collaborated with cross-functional teams to integrate APIs and deliver scalable features, leveraging AI development tools such as Claude and GitHub Copilot to accelerate productivity.
Sanjayrekha Aggregator Pvt. Ltd. AHEN, Pune, India
• Developed web applications using React.js, focusing on reusable component architecture and responsive design. • Implemented enterprise CRM platforms and complex application websites using modern React web development practices. • Enhanced user interfaces with HTML, CSS, and JavaScript; participated in Agile practices including stand-ups, sprint planning, and code reviews.
GH Raisoni College of Engineering & Management, Pune
Graduated with honours. Focused on software development, machine learning, and data structures. Led the final year project on computer vision systems.
Mallikarjuna Infosys
Built Python automation scripts and data processing pipelines. Improved batch processing speed by 40% through code optimization.
CodeClause
Shipped three client-facing web applications. Built reusable React components and worked directly with product and design teams.